SlideShare a Scribd company logo

Helmsman H4D 2020 Lessons Learned

•Download as PPTX, PDF•
•
Stanford University
Stanford University

business model, business model canvas, mission model, mission model canvas, customer development, hacking for defense, H4D, lean launchpad, lean startup, stanford, startup, steve blank, pete newell, bmnt, entrepreneurship, I-Corps, Computer vision, NSIN, tercom, dsmac, gps denial

Education
1 of 23
We Thought we Understood the Problem We Achieved Product- Mission Fit No Solutions Worked The Right People are Interested We Believe this could be a Viable Business PIVOT PIVOT Found Existing Solution for Waypoint Navigation
MISSION BUDGET/COST (ordered by magnitude) 1. Materials for prototyping and R&D: sensors, structural components, tools (number of materials can be loaned at zero cost from key resources) 2. Testing 3. Computing resources 4. Data access (NASA gravity, US government, Stanford GIS, Descartes/Planet GIS) DEPLOYMENT - Test flight at Moffett Federal Airfield, Mountain View - Mass production by integrating to General Atomic, Lockheed Martin, Boeing, and Northrop Grumman assembly lines BUY-IN & SUPPORT DoD Joint Artificial Intelligence Center: approve the design and prototype Manufacturers: adopt design, mass produce our product, and integrate it into their existing systems KEY RESOURCES - Access to beneficiaries - Stanford faculty - Experts on drone warfare - Joint Artificial Intelligence Center - Access to self-driving, drone, and IoT tech in Silicon Valley KEY ACTIVITIES - Framing the problem - Conducting research and speaking with experts (military, academic, and industry) - Designing solution - Prototyping + Testing KEY PARTNERS - US Air Force - H4D team - Joint Artificial Intelligence Center - Stanford Research Labs (AA, geophysics departments) and Stanford Community - Drone manufacturers: General Atomic, Lockheed Martin, Northrop Grumman, Boeing MISSION ACHIEVEMENT/IMPACT FACTORS - Design approved by DoD or defense manufacturers - Deployment on at least one military-grade UAV and when tested, features with favourable processing time compared to current systems, reduced location uncertainty, improved F1 score on detections, and full functionality in GPS- denied environments We Started by Understanding Our Beneficiaries VALUE PROPOSITIONS 1. Reduced Risk of Drone Loss 1. Higher quality data and better decisions 1. Lower risk of detection BENEFICIARIES ● USAF UAV pilots ● USAF UAV commanders ● UAV manufacturers for DoD We Started by Understanding Our Beneficiaries MISSION BUDGET/COST (ordered by magnitude) 1. Materials for prototyping and R&D: sensors, structural components, tools (number of materials can be loaned at zero cost from key resources) 2. Testing 3. Computing resources 4. Data access (NASA gravity, US government, Stanford GIS, Descartes/Planet GIS) DEPLOYMENT - Test flight at Moffett Federal Airfield, Mountain View - Mass production by integrating to General Atomic, Lockheed Martin, Boeing, and Northrop Grumman assembly lines BUY-IN & SUPPORT DoD Joint Artificial Intelligence Center: approve the design and prototype Manufacturers: adopt design, mass produce our product, and integrate it into their existing systems BENEFICIARIES ● USAF UAV pilots ● USAF UAV commanders ● UAV manufacturers for DoD KEY RESOURCES - Access to beneficiaries - Stanford faculty - Experts on drone warfare - Joint Artificial Intelligence Center - Access to self-driving, drone, and IoT tech in Silicon Valley KEY ACTIVITIES - Framing the problem - Conducting research and speaking with experts (military, academic, and industry) - Designing solution - Prototyping + Testing KEY PARTNERS - US Air Force - H4D team - Joint Artificial Intelligence Center - Stanford Research Labs (AA, geophysics departments) and Stanford Community - Drone manufacturers: General Atomic, Lockheed Martin, Northrop Grumman, Boeing MISSION ACHIEVEMENT/IMPACT FACTORS - Design approved by DoD or defense manufacturers - Deployment on at least one military-grade UAV and when tested, features with favourable processing time compared to current systems, reduced location uncertainty, improved F1 score on detections, and full functionality in GPS- denied environments VALUE PROPOSITIONS 1. Reduced Risk of Drone Loss 1. Higher quality data and better decisions 1. Lower risk of detection
No Solutions Worked We Thought we Understood the Problem PIVOT PIVOT: We shifted focus to oversea, waypoint navigation only.
No Solutions Worked We Thought we Understood the Problem PIVOT PIVOT Found Existing Solution for Waypoint Navigation PIVOT: Skymark’s 100m accuracy leaves the overland target-area navigation problem unsolved, so we shifted our focus there.
Overland | 1m Accuracy
In each frame, satellite imagery and SAR topographic matching outputs lat-long coordinates Frames are overlaid, and visual odometry outputs velocity and acceleration
We Thought we Understood the Problem No Solutions Worked We Achieved Product- Mission Fit PIVOT PIVOT Found Existing Solution for Waypoint Navigation
MISSION BUDGET/COST (ordered by magnitude) 1. Materials for prototyping and R&D: sensors, structural components, tools (number of materials can be loaned at zero cost from key resources) 2. Testing 3. Computing resources 4. Data access (NASA gravity, US government, Stanford GIS, Descartes/Planet GIS) DEPLOYMENT - Test flight at Moffett Federal Airfield, Mountain View - Mass production by integrating to General Atomic, Lockheed Martin, Boeing, and Northrop Grumman assembly lines BUY-IN & SUPPORT DoD Joint Artificial Intelligence Center: approve the design and prototype Manufacturers: adopt design, mass produce our product, and integrate it into their existing systems KEY RESOURCES - Access to beneficiaries - Stanford faculty - Experts on drone warfare - Joint Artificial Intelligence Center - Access to self-driving, drone, and IoT tech in Silicon Valley KEY ACTIVITIES - Framing the problem - Conducting research and speaking with experts (military, academic, and industry) - Designing solution - Prototyping + Testing KEY PARTNERS - US Air Force - H4D team - Joint Artificial Intelligence Center - Stanford Research Labs (AA, geophysics departments) and Stanford Community - Drone manufacturers: General Atomic, Lockheed Martin, Northrop Grumman, Boeing MISSION ACHIEVEMENT/IMPACT FACTORS - Design approved by DoD or defense manufacturers - Deployment on at least one military-grade UAV and when tested, features with favourable processing time compared to current systems, reduced location uncertainty, improved F1 score on detections, and full functionality in GPS- denied environments VALUE PROPOSITIONS 1. Reduced Risk of Drone Loss 2. Ability to reach target 3. Lower risk of detection 4. Improved strategic reach BENEFICIARIES 1. USAF UAV pilots & Fighter Pilots 1. Mission Commanders MISSION BUDGET/COST (ordered by magnitude) 1. Materials for prototyping and R&D: sensors, structural components, tools (number of materials can be loaned at zero cost from key resources) 2. Testing 3. Computing resources 4. Data access (NASA gravity, US government, Stanford GIS, Descartes/Planet GIS) BUY-IN & SUPPORT DoD Joint Artificial Intelligence Center: approve the design and prototype Manufacturers: adopt design, mass produce our product, and integrate it into their existing systems KEY RESOURCES - Access to beneficiaries - Stanford faculty - Experts on drone warfare - Joint Artificial Intelligence Center - Access to self-driving, drone, and IoT tech in Silicon Valley KEY ACTIVITIES - Framing the problem - Conducting research and speaking with experts (military, academic, and industry) - Designing solution - Prototyping + Testing KEY PARTNERS ● H4D team ● Joint Artificial Intelligence Center ● 432nd command ● Planet Labs ● ISR Panel ● Air Superiority Panel ● Draper Labs ● General Atomics With Product-Mission Fit, We Shifted Our Focus to Deployment DEPLOYMENT 1. Develop software-only solution with NSF funding 2. Mature tech with MQ-9 PO funding and support 3. Purchase, Integration, and Testing by MQ-9 PO and General Atomics DEPLOYMENT 1. Develop software-only solution 2. Mature tech with MQ-9 PO 3. Purchase, Integration, and Testing by General Atomics
Going forward... - Abhay, Stefano, and Freddy will continue - Incorporate - Software development - STTR Funding - Exploring dual-use + VC Funding down the line - Testing - Start deployment process in a year Contact us at: team_helmsman@lists.stanford.edu
Going forward... - Abhay, Stefano, and Freddy will continue - Incorporate - Software development - STTR Funding - Exploring dual-use + VC Funding down the line - Testing - Start deployment process in a year Contact us at: team_helmsman@lists.stanford.edu
Helmsman H4D 2020 Lessons Learned
Helmsman H4D 2020 Lessons Learned

Recommended

Polaris H4D Stanford 2018
Polaris H4D Stanford 2018Polaris H4D Stanford 2018
Polaris H4D Stanford 2018Stanford University
 
AV Combinator H4D 2020 Lessons Learned
AV Combinator H4D 2020 Lessons LearnedAV Combinator H4D 2020 Lessons Learned
AV Combinator H4D 2020 Lessons LearnedStanford University
 
Omniscient H4D 2020 Lessons Learned
Omniscient H4D 2020 Lessons LearnedOmniscient H4D 2020 Lessons Learned
Omniscient H4D 2020 Lessons LearnedStanford University
 
Skynet Week 9 H4D Stanford 2016
Skynet Week 9 H4D Stanford 2016Skynet Week 9 H4D Stanford 2016
Skynet Week 9 H4D Stanford 2016Stanford University
 
Protocol One H4D 2020 Lessons Learned
Protocol One H4D 2020 Lessons LearnedProtocol One H4D 2020 Lessons Learned
Protocol One H4D 2020 Lessons LearnedStanford University
 
Aqualink Week 8 H4D Stanford 2016
Aqualink Week 8 H4D Stanford 2016Aqualink Week 8 H4D Stanford 2016
Aqualink Week 8 H4D Stanford 2016Stanford University
 
Skynet Week 8 H4D Stanford 2016
Skynet Week 8 H4D Stanford 2016Skynet Week 8 H4D Stanford 2016
Skynet Week 8 H4D Stanford 2016Stanford University
 
Aqualink Week 6 H4D Stanford 2016
Aqualink Week 6 H4D Stanford 2016Aqualink Week 6 H4D Stanford 2016
Aqualink Week 6 H4D Stanford 2016Stanford University
 

Recommended

Polaris H4D Stanford 2018
Polaris H4D Stanford 2018Polaris H4D Stanford 2018
Polaris H4D Stanford 2018Stanford University
 
AV Combinator H4D 2020 Lessons Learned
AV Combinator H4D 2020 Lessons LearnedAV Combinator H4D 2020 Lessons Learned
AV Combinator H4D 2020 Lessons LearnedStanford University
 
Omniscient H4D 2020 Lessons Learned
Omniscient H4D 2020 Lessons LearnedOmniscient H4D 2020 Lessons Learned
Omniscient H4D 2020 Lessons LearnedStanford University
 
Skynet Week 9 H4D Stanford 2016
Skynet Week 9 H4D Stanford 2016Skynet Week 9 H4D Stanford 2016
Skynet Week 9 H4D Stanford 2016Stanford University
 
Protocol One H4D 2020 Lessons Learned
Protocol One H4D 2020 Lessons LearnedProtocol One H4D 2020 Lessons Learned
Protocol One H4D 2020 Lessons LearnedStanford University
 
Aqualink Week 8 H4D Stanford 2016
Aqualink Week 8 H4D Stanford 2016Aqualink Week 8 H4D Stanford 2016
Aqualink Week 8 H4D Stanford 2016Stanford University
 
Skynet Week 8 H4D Stanford 2016
Skynet Week 8 H4D Stanford 2016Skynet Week 8 H4D Stanford 2016
Skynet Week 8 H4D Stanford 2016Stanford University
 
Aqualink Week 6 H4D Stanford 2016
Aqualink Week 6 H4D Stanford 2016Aqualink Week 6 H4D Stanford 2016
Aqualink Week 6 H4D Stanford 2016Stanford University
 
Right of Boom Lessons Learned H4D Stanford 2016
Right of Boom Lessons Learned H4D Stanford 2016Right of Boom Lessons Learned H4D Stanford 2016
Right of Boom Lessons Learned H4D Stanford 2016Stanford University
 
Right of Boom Week 9 H4D Stanford 2016
Right of Boom Week 9 H4D Stanford 2016Right of Boom Week 9 H4D Stanford 2016
Right of Boom Week 9 H4D Stanford 2016Stanford University
 
Aqualink Week 1 H4D Stanford 2016
Aqualink Week 1 H4D Stanford 2016Aqualink Week 1 H4D Stanford 2016
Aqualink Week 1 H4D Stanford 2016Stanford University
 
Time Flies H4D 2020 Lessons Learned
Time Flies H4D 2020 Lessons LearnedTime Flies H4D 2020 Lessons Learned
Time Flies H4D 2020 Lessons LearnedStanford University
 
Sentinel Lessons Learned H4D Stanford 2016
Sentinel Lessons Learned H4D Stanford 2016Sentinel Lessons Learned H4D Stanford 2016
Sentinel Lessons Learned H4D Stanford 2016Stanford University
 
Aqualink Week 7 H4D Stanford 2016
Aqualink Week 7 H4D Stanford 2016Aqualink Week 7 H4D Stanford 2016
Aqualink Week 7 H4D Stanford 2016Stanford University
 
Guardian Lessons Learned H4D Stanford 2016
Guardian Lessons Learned H4D Stanford 2016Guardian Lessons Learned H4D Stanford 2016
Guardian Lessons Learned H4D Stanford 2016Stanford University
 
Narrative Mind Week 7 H4D Stanford 2016
Narrative Mind Week 7 H4D Stanford 2016Narrative Mind Week 7 H4D Stanford 2016
Narrative Mind Week 7 H4D Stanford 2016Stanford University
 
Narrative Mind Lessons Learned H4D Stanford 2016
Narrative Mind Lessons Learned H4D Stanford 2016Narrative Mind Lessons Learned H4D Stanford 2016
Narrative Mind Lessons Learned H4D Stanford 2016Stanford University
 
Fishreel Lessons Learned H4D Stanford 2016
Fishreel Lessons Learned H4D Stanford 2016 Fishreel Lessons Learned H4D Stanford 2016
Fishreel Lessons Learned H4D Stanford 2016 Stanford University
 
Narrative Mind Week 8 H4D Stanford 2016
Narrative Mind Week 8 H4D Stanford 2016Narrative Mind Week 8 H4D Stanford 2016
Narrative Mind Week 8 H4D Stanford 2016Stanford University
 
Right of Boom Week 6 H4D Stanford 2016
Right of Boom Week 6 H4D Stanford 2016Right of Boom Week 6 H4D Stanford 2016
Right of Boom Week 6 H4D Stanford 2016Stanford University
 
Sea Watch H4D 2020 Lessons Learned
Sea Watch H4D 2020 Lessons LearnedSea Watch H4D 2020 Lessons Learned
Sea Watch H4D 2020 Lessons LearnedStanford University
 
Aqualink Week 5 H4D Stanford 2016
Aqualink Week 5 H4D Stanford 2016Aqualink Week 5 H4D Stanford 2016
Aqualink Week 5 H4D Stanford 2016Stanford University
 
Guardian Week 9 H4D Stanford 2016
Guardian Week 9 H4D Stanford 2016Guardian Week 9 H4D Stanford 2016
Guardian Week 9 H4D Stanford 2016Stanford University
 
Right of Boom Week 8 H4D Stanford 2016
Right of Boom Week 8 H4D Stanford 2016Right of Boom Week 8 H4D Stanford 2016
Right of Boom Week 8 H4D Stanford 2016Stanford University
 
Silknet H4D 2021 Lessons Learned
Silknet H4D 2021 Lessons LearnedSilknet H4D 2021 Lessons Learned
Silknet H4D 2021 Lessons LearnedStanford University
 
Lecture 7 Activities, Resources and Partners H4D Stanford 2016
Lecture 7 Activities, Resources and Partners H4D Stanford 2016Lecture 7 Activities, Resources and Partners H4D Stanford 2016
Lecture 7 Activities, Resources and Partners H4D Stanford 2016Stanford University
 
Sentinel Week 9 H4D Stanford 2016
Sentinel Week 9 H4D Stanford 2016Sentinel Week 9 H4D Stanford 2016
Sentinel Week 9 H4D Stanford 2016Stanford University
 
Right of Boom (formerly LTTT) Week 3 H4D Stanford 2016
Right of Boom (formerly LTTT) Week 3 H4D Stanford 2016Right of Boom (formerly LTTT) Week 3 H4D Stanford 2016
Right of Boom (formerly LTTT) Week 3 H4D Stanford 2016Stanford University
 
Sentinel Lessons Learned
Sentinel Lessons LearnedSentinel Lessons Learned
Sentinel Lessons LearnedH4Diadmin
 
Technology Threat Prediction
Technology Threat PredictionTechnology Threat Prediction
Technology Threat PredictionH4Diadmin
 

More Related Content

What's hot

Right of Boom Lessons Learned H4D Stanford 2016
Right of Boom Lessons Learned H4D Stanford 2016Right of Boom Lessons Learned H4D Stanford 2016
Right of Boom Lessons Learned H4D Stanford 2016Stanford University
 
Right of Boom Week 9 H4D Stanford 2016
Right of Boom Week 9 H4D Stanford 2016Right of Boom Week 9 H4D Stanford 2016
Right of Boom Week 9 H4D Stanford 2016Stanford University
 
Aqualink Week 1 H4D Stanford 2016
Aqualink Week 1 H4D Stanford 2016Aqualink Week 1 H4D Stanford 2016
Aqualink Week 1 H4D Stanford 2016Stanford University
 
Time Flies H4D 2020 Lessons Learned
Time Flies H4D 2020 Lessons LearnedTime Flies H4D 2020 Lessons Learned
Time Flies H4D 2020 Lessons LearnedStanford University
 
Sentinel Lessons Learned H4D Stanford 2016
Sentinel Lessons Learned H4D Stanford 2016Sentinel Lessons Learned H4D Stanford 2016
Sentinel Lessons Learned H4D Stanford 2016Stanford University
 
Aqualink Week 7 H4D Stanford 2016
Aqualink Week 7 H4D Stanford 2016Aqualink Week 7 H4D Stanford 2016
Aqualink Week 7 H4D Stanford 2016Stanford University
 
Guardian Lessons Learned H4D Stanford 2016
Guardian Lessons Learned H4D Stanford 2016Guardian Lessons Learned H4D Stanford 2016
Guardian Lessons Learned H4D Stanford 2016Stanford University
 
Narrative Mind Week 7 H4D Stanford 2016
Narrative Mind Week 7 H4D Stanford 2016Narrative Mind Week 7 H4D Stanford 2016
Narrative Mind Week 7 H4D Stanford 2016Stanford University
 
Narrative Mind Lessons Learned H4D Stanford 2016
Narrative Mind Lessons Learned H4D Stanford 2016Narrative Mind Lessons Learned H4D Stanford 2016
Narrative Mind Lessons Learned H4D Stanford 2016Stanford University
 
Fishreel Lessons Learned H4D Stanford 2016
Fishreel Lessons Learned H4D Stanford 2016 Fishreel Lessons Learned H4D Stanford 2016
Fishreel Lessons Learned H4D Stanford 2016 Stanford University
 
Narrative Mind Week 8 H4D Stanford 2016
Narrative Mind Week 8 H4D Stanford 2016Narrative Mind Week 8 H4D Stanford 2016
Narrative Mind Week 8 H4D Stanford 2016Stanford University
 
Right of Boom Week 6 H4D Stanford 2016
Right of Boom Week 6 H4D Stanford 2016Right of Boom Week 6 H4D Stanford 2016
Right of Boom Week 6 H4D Stanford 2016Stanford University
 
Sea Watch H4D 2020 Lessons Learned
Sea Watch H4D 2020 Lessons LearnedSea Watch H4D 2020 Lessons Learned
Sea Watch H4D 2020 Lessons LearnedStanford University
 
Aqualink Week 5 H4D Stanford 2016
Aqualink Week 5 H4D Stanford 2016Aqualink Week 5 H4D Stanford 2016
Aqualink Week 5 H4D Stanford 2016Stanford University
 
Guardian Week 9 H4D Stanford 2016
Guardian Week 9 H4D Stanford 2016Guardian Week 9 H4D Stanford 2016
Guardian Week 9 H4D Stanford 2016Stanford University
 
Right of Boom Week 8 H4D Stanford 2016
Right of Boom Week 8 H4D Stanford 2016Right of Boom Week 8 H4D Stanford 2016
Right of Boom Week 8 H4D Stanford 2016Stanford University
 
Silknet H4D 2021 Lessons Learned
Silknet H4D 2021 Lessons LearnedSilknet H4D 2021 Lessons Learned
Silknet H4D 2021 Lessons LearnedStanford University
 
Lecture 7 Activities, Resources and Partners H4D Stanford 2016
Lecture 7 Activities, Resources and Partners H4D Stanford 2016Lecture 7 Activities, Resources and Partners H4D Stanford 2016
Lecture 7 Activities, Resources and Partners H4D Stanford 2016Stanford University
 
Sentinel Week 9 H4D Stanford 2016
Sentinel Week 9 H4D Stanford 2016Sentinel Week 9 H4D Stanford 2016
Sentinel Week 9 H4D Stanford 2016Stanford University
 
Right of Boom (formerly LTTT) Week 3 H4D Stanford 2016
Right of Boom (formerly LTTT) Week 3 H4D Stanford 2016Right of Boom (formerly LTTT) Week 3 H4D Stanford 2016
Right of Boom (formerly LTTT) Week 3 H4D Stanford 2016Stanford University
 

What's hot (20)

Right of Boom Lessons Learned H4D Stanford 2016
Right of Boom Lessons Learned H4D Stanford 2016Right of Boom Lessons Learned H4D Stanford 2016
Right of Boom Lessons Learned H4D Stanford 2016
 
Right of Boom Week 9 H4D Stanford 2016
Right of Boom Week 9 H4D Stanford 2016Right of Boom Week 9 H4D Stanford 2016
Right of Boom Week 9 H4D Stanford 2016
 
Aqualink Week 1 H4D Stanford 2016
Aqualink Week 1 H4D Stanford 2016Aqualink Week 1 H4D Stanford 2016
Aqualink Week 1 H4D Stanford 2016
 
Time Flies H4D 2020 Lessons Learned
Time Flies H4D 2020 Lessons LearnedTime Flies H4D 2020 Lessons Learned
Time Flies H4D 2020 Lessons Learned
 
Sentinel Lessons Learned H4D Stanford 2016
Sentinel Lessons Learned H4D Stanford 2016Sentinel Lessons Learned H4D Stanford 2016
Sentinel Lessons Learned H4D Stanford 2016
 
Aqualink Week 7 H4D Stanford 2016
Aqualink Week 7 H4D Stanford 2016Aqualink Week 7 H4D Stanford 2016
Aqualink Week 7 H4D Stanford 2016
 
Guardian Lessons Learned H4D Stanford 2016
Guardian Lessons Learned H4D Stanford 2016Guardian Lessons Learned H4D Stanford 2016
Guardian Lessons Learned H4D Stanford 2016
 
Narrative Mind Week 7 H4D Stanford 2016
Narrative Mind Week 7 H4D Stanford 2016Narrative Mind Week 7 H4D Stanford 2016
Narrative Mind Week 7 H4D Stanford 2016
 
Narrative Mind Lessons Learned H4D Stanford 2016
Narrative Mind Lessons Learned H4D Stanford 2016Narrative Mind Lessons Learned H4D Stanford 2016
Narrative Mind Lessons Learned H4D Stanford 2016
 
Fishreel Lessons Learned H4D Stanford 2016
Fishreel Lessons Learned H4D Stanford 2016 Fishreel Lessons Learned H4D Stanford 2016
Fishreel Lessons Learned H4D Stanford 2016
 
Narrative Mind Week 8 H4D Stanford 2016
Narrative Mind Week 8 H4D Stanford 2016Narrative Mind Week 8 H4D Stanford 2016
Narrative Mind Week 8 H4D Stanford 2016
 
Right of Boom Week 6 H4D Stanford 2016
Right of Boom Week 6 H4D Stanford 2016Right of Boom Week 6 H4D Stanford 2016
Right of Boom Week 6 H4D Stanford 2016
 
Sea Watch H4D 2020 Lessons Learned
Sea Watch H4D 2020 Lessons LearnedSea Watch H4D 2020 Lessons Learned
Sea Watch H4D 2020 Lessons Learned
 
Aqualink Week 5 H4D Stanford 2016
Aqualink Week 5 H4D Stanford 2016Aqualink Week 5 H4D Stanford 2016
Aqualink Week 5 H4D Stanford 2016
 
Guardian Week 9 H4D Stanford 2016
Guardian Week 9 H4D Stanford 2016Guardian Week 9 H4D Stanford 2016
Guardian Week 9 H4D Stanford 2016
 
Right of Boom Week 8 H4D Stanford 2016
Right of Boom Week 8 H4D Stanford 2016Right of Boom Week 8 H4D Stanford 2016
Right of Boom Week 8 H4D Stanford 2016
 
Silknet H4D 2021 Lessons Learned
Silknet H4D 2021 Lessons LearnedSilknet H4D 2021 Lessons Learned
Silknet H4D 2021 Lessons Learned
 
Lecture 7 Activities, Resources and Partners H4D Stanford 2016
Lecture 7 Activities, Resources and Partners H4D Stanford 2016Lecture 7 Activities, Resources and Partners H4D Stanford 2016
Lecture 7 Activities, Resources and Partners H4D Stanford 2016
 
Sentinel Week 9 H4D Stanford 2016
Sentinel Week 9 H4D Stanford 2016Sentinel Week 9 H4D Stanford 2016
Sentinel Week 9 H4D Stanford 2016
 
Right of Boom (formerly LTTT) Week 3 H4D Stanford 2016
Right of Boom (formerly LTTT) Week 3 H4D Stanford 2016Right of Boom (formerly LTTT) Week 3 H4D Stanford 2016
Right of Boom (formerly LTTT) Week 3 H4D Stanford 2016
 

Similar to Helmsman H4D 2020 Lessons Learned

Sentinel Lessons Learned
Sentinel Lessons LearnedSentinel Lessons Learned
Sentinel Lessons LearnedH4Diadmin
 
Technology Threat Prediction
Technology Threat PredictionTechnology Threat Prediction
Technology Threat PredictionH4Diadmin
 
MDIS workshop 2015
MDIS workshop 2015MDIS workshop 2015
MDIS workshop 2015terradue
 
637122main short presentation
637122main short presentation637122main short presentation
637122main short presentationClifford Stone
 
Sentinel Week 2 H4D Stanford 2016
Sentinel Week 2 H4D Stanford 2016Sentinel Week 2 H4D Stanford 2016
Sentinel Week 2 H4D Stanford 2016Stanford University
 
Sentinel week 1 H4D Stanford 2016
Sentinel week 1 H4D Stanford 2016Sentinel week 1 H4D Stanford 2016
Sentinel week 1 H4D Stanford 2016Stanford University
 
Sentinel Week 3 H4D Stanford 2016
Sentinel Week 3 H4D Stanford 2016Sentinel Week 3 H4D Stanford 2016
Sentinel Week 3 H4D Stanford 2016Stanford University
 
The MMI Device Ontology: Enabling Sensor Integration
The MMI Device Ontology: Enabling Sensor IntegrationThe MMI Device Ontology: Enabling Sensor Integration
The MMI Device Ontology: Enabling Sensor IntegrationCarlos Rueda
 
Video Analytics on Hadoop webinar victor fang-201309
Video Analytics on Hadoop webinar victor fang-201309Video Analytics on Hadoop webinar victor fang-201309
Video Analytics on Hadoop webinar victor fang-201309DrVictorFang
 
SPatially Explicit Data Discovery, Extraction and Evaluation Services (SPEDDE...
SPatially Explicit Data Discovery, Extraction and Evaluation Services (SPEDDE...SPatially Explicit Data Discovery, Extraction and Evaluation Services (SPEDDE...
SPatially Explicit Data Discovery, Extraction and Evaluation Services (SPEDDE...aceas13tern
 
DT Company Overview January 2013
DT Company Overview January 2013DT Company Overview January 2013
DT Company Overview January 2013DataTactics
 
Alfred mecum
Alfred mecumAlfred mecum
Alfred mecumNASAPMC
 
Alfred mecum
Alfred mecumAlfred mecum
Alfred mecumNASAPMC
 
GBIF and reuse of research data, Bergen (2016-12-14)
GBIF and reuse of research data, Bergen (2016-12-14)GBIF and reuse of research data, Bergen (2016-12-14)
GBIF and reuse of research data, Bergen (2016-12-14)Dag Endresen
 
pres_drone_forensics_program.pptx
pres_drone_forensics_program.pptxpres_drone_forensics_program.pptx
pres_drone_forensics_program.pptxVolgaTC
 
Sentinel Week 7 H4D Stanford 2016
Sentinel Week 7 H4D Stanford 2016Sentinel Week 7 H4D Stanford 2016
Sentinel Week 7 H4D Stanford 2016Stanford University
 
Spark at NASA/JPL-(Chris Mattmann, NASA/JPL)
Spark at NASA/JPL-(Chris Mattmann, NASA/JPL)Spark at NASA/JPL-(Chris Mattmann, NASA/JPL)
Spark at NASA/JPL-(Chris Mattmann, NASA/JPL)Spark Summit
 

Similar to Helmsman H4D 2020 Lessons Learned (20)

Sentinel Lessons Learned
Sentinel Lessons LearnedSentinel Lessons Learned
Sentinel Lessons Learned
 
Technology Threat Prediction
Technology Threat PredictionTechnology Threat Prediction
Technology Threat Prediction
 
MDIS workshop 2015
MDIS workshop 2015MDIS workshop 2015
MDIS workshop 2015
 
637122main short presentation
637122main short presentation637122main short presentation
637122main short presentation
 
Sentinel Week 2 H4D Stanford 2016
Sentinel Week 2 H4D Stanford 2016Sentinel Week 2 H4D Stanford 2016
Sentinel Week 2 H4D Stanford 2016
 
Sentinel week 1 H4D Stanford 2016
Sentinel week 1 H4D Stanford 2016Sentinel week 1 H4D Stanford 2016
Sentinel week 1 H4D Stanford 2016
 
Sentinel Week 3 H4D Stanford 2016
Sentinel Week 3 H4D Stanford 2016Sentinel Week 3 H4D Stanford 2016
Sentinel Week 3 H4D Stanford 2016
 
The MMI Device Ontology: Enabling Sensor Integration
The MMI Device Ontology: Enabling Sensor IntegrationThe MMI Device Ontology: Enabling Sensor Integration
The MMI Device Ontology: Enabling Sensor Integration
 
Video Analytics on Hadoop webinar victor fang-201309
Video Analytics on Hadoop webinar victor fang-201309Video Analytics on Hadoop webinar victor fang-201309
Video Analytics on Hadoop webinar victor fang-201309
 
SPatially Explicit Data Discovery, Extraction and Evaluation Services (SPEDDE...
SPatially Explicit Data Discovery, Extraction and Evaluation Services (SPEDDE...SPatially Explicit Data Discovery, Extraction and Evaluation Services (SPEDDE...
SPatially Explicit Data Discovery, Extraction and Evaluation Services (SPEDDE...
 
GarnerResume
GarnerResumeGarnerResume
GarnerResume
 
Skynet Week 5 H4D Stanford 2016
Skynet Week 5 H4D Stanford 2016Skynet Week 5 H4D Stanford 2016
Skynet Week 5 H4D Stanford 2016
 
2013 hanson resume
2013 hanson resume2013 hanson resume
2013 hanson resume
 
DT Company Overview January 2013
DT Company Overview January 2013DT Company Overview January 2013
DT Company Overview January 2013
 
Alfred mecum
Alfred mecumAlfred mecum
Alfred mecum
 
Alfred mecum
Alfred mecumAlfred mecum
Alfred mecum
 
GBIF and reuse of research data, Bergen (2016-12-14)
GBIF and reuse of research data, Bergen (2016-12-14)GBIF and reuse of research data, Bergen (2016-12-14)
GBIF and reuse of research data, Bergen (2016-12-14)
 
pres_drone_forensics_program.pptx
pres_drone_forensics_program.pptxpres_drone_forensics_program.pptx
pres_drone_forensics_program.pptx
 
Sentinel Week 7 H4D Stanford 2016
Sentinel Week 7 H4D Stanford 2016Sentinel Week 7 H4D Stanford 2016
Sentinel Week 7 H4D Stanford 2016
 
Spark at NASA/JPL-(Chris Mattmann, NASA/JPL)
Spark at NASA/JPL-(Chris Mattmann, NASA/JPL)Spark at NASA/JPL-(Chris Mattmann, NASA/JPL)
Spark at NASA/JPL-(Chris Mattmann, NASA/JPL)
 

More from Stanford University

Team Networks - 2022 Technology, Innovation & Great Power Competition
Team Networks - 2022 Technology, Innovation & Great Power CompetitionTeam Networks - 2022 Technology, Innovation & Great Power Competition
Team Networks - 2022 Technology, Innovation & Great Power CompetitionStanford University
 
Team LiOn Batteries - 2022 Technology, Innovation & Great Power Competition
Team LiOn Batteries - 2022 Technology, Innovation & Great Power CompetitionTeam LiOn Batteries - 2022 Technology, Innovation & Great Power Competition
Team LiOn Batteries - 2022 Technology, Innovation & Great Power CompetitionStanford University
 
Team Quantum - 2022 Technology, Innovation & Great Power Competition
Team Quantum - 2022 Technology, Innovation & Great Power CompetitionTeam Quantum - 2022 Technology, Innovation & Great Power Competition
Team Quantum - 2022 Technology, Innovation & Great Power CompetitionStanford University
 
Team Disinformation - 2022 Technology, Innovation & Great Power Competition
Team Disinformation - 2022 Technology, Innovation & Great Power CompetitionTeam Disinformation - 2022 Technology, Innovation & Great Power Competition
Team Disinformation - 2022 Technology, Innovation & Great Power CompetitionStanford University
 
Team Wargames - 2022 Technology, Innovation & Great Power Competition
Team Wargames - 2022 Technology, Innovation & Great Power CompetitionTeam Wargames - 2022 Technology, Innovation & Great Power Competition
Team Wargames - 2022 Technology, Innovation & Great Power CompetitionStanford University
 
Team Acquistion - 2022 Technology, Innovation & Great Power Competition
Team Acquistion - 2022 Technology, Innovation & Great Power Competition Team Acquistion - 2022 Technology, Innovation & Great Power Competition
Team Acquistion - 2022 Technology, Innovation & Great Power Competition Stanford University
 
Team Climate Change - 2022 Technology, Innovation & Great Power Competition
Team Climate Change - 2022 Technology, Innovation & Great Power Competition Team Climate Change - 2022 Technology, Innovation & Great Power Competition
Team Climate Change - 2022 Technology, Innovation & Great Power Competition Stanford University
 
Altuna Engr245 2022 Lessons Learned
Altuna Engr245 2022 Lessons LearnedAltuna Engr245 2022 Lessons Learned
Altuna Engr245 2022 Lessons LearnedStanford University
 
Invisa Engr245 2022 Lessons Learned
Invisa Engr245 2022 Lessons LearnedInvisa Engr245 2022 Lessons Learned
Invisa Engr245 2022 Lessons LearnedStanford University
 
ānanda Engr245 2022 Lessons Learned
ānanda Engr245 2022 Lessons Learnedānanda Engr245 2022 Lessons Learned
ānanda Engr245 2022 Lessons LearnedStanford University
 
Gordian Knot Center Roundtable w/Depty SecDef
Gordian Knot Center Roundtable w/Depty SecDef Gordian Knot Center Roundtable w/Depty SecDef
Gordian Knot Center Roundtable w/Depty SecDef Stanford University
 
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...Stanford University
 
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...Stanford University
 
Team Catena - 2021 Technology, Innovation & Great Power Competition
Team Catena - 2021 Technology, Innovation & Great Power CompetitionTeam Catena - 2021 Technology, Innovation & Great Power Competition
Team Catena - 2021 Technology, Innovation & Great Power CompetitionStanford University
 
Team Apollo - 2021 Technology, Innovation & Great Power Competition
Team Apollo - 2021 Technology, Innovation & Great Power CompetitionTeam Apollo - 2021 Technology, Innovation & Great Power Competition
Team Apollo - 2021 Technology, Innovation & Great Power CompetitionStanford University
 
Team Drone - 2021 Technology, Innovation & Great Power Competition
Team Drone - 2021 Technology, Innovation & Great Power CompetitionTeam Drone - 2021 Technology, Innovation & Great Power Competition
Team Drone - 2021 Technology, Innovation & Great Power CompetitionStanford University
 
Team Short Circuit - 2021 Technology, Innovation & Great Power Competition
Team Short Circuit - 2021 Technology, Innovation & Great Power CompetitionTeam Short Circuit - 2021 Technology, Innovation & Great Power Competition
Team Short Circuit - 2021 Technology, Innovation & Great Power CompetitionStanford University
 
Team Aurora - 2021 Technology, Innovation & Great Power Competition
Team Aurora - 2021 Technology, Innovation & Great Power CompetitionTeam Aurora - 2021 Technology, Innovation & Great Power Competition
Team Aurora - 2021 Technology, Innovation & Great Power CompetitionStanford University
 
Team Conflicted Capital Team - 2021 Technology, Innovation & Great Power Comp...
Team Conflicted Capital Team - 2021 Technology, Innovation & Great Power Comp...Team Conflicted Capital Team - 2021 Technology, Innovation & Great Power Comp...
Team Conflicted Capital Team - 2021 Technology, Innovation & Great Power Comp...Stanford University
 
Lecture 8 - Technology, Innovation and Great Power Competition - Cyber
Lecture 8 - Technology, Innovation and Great Power Competition - CyberLecture 8 - Technology, Innovation and Great Power Competition - Cyber
Lecture 8 - Technology, Innovation and Great Power Competition - CyberStanford University
 

More from Stanford University (20)

Team Networks - 2022 Technology, Innovation & Great Power Competition
Team Networks - 2022 Technology, Innovation & Great Power CompetitionTeam Networks - 2022 Technology, Innovation & Great Power Competition
Team Networks - 2022 Technology, Innovation & Great Power Competition
 
Team LiOn Batteries - 2022 Technology, Innovation & Great Power Competition
Team LiOn Batteries - 2022 Technology, Innovation & Great Power CompetitionTeam LiOn Batteries - 2022 Technology, Innovation & Great Power Competition
Team LiOn Batteries - 2022 Technology, Innovation & Great Power Competition
 
Team Quantum - 2022 Technology, Innovation & Great Power Competition
Team Quantum - 2022 Technology, Innovation & Great Power CompetitionTeam Quantum - 2022 Technology, Innovation & Great Power Competition
Team Quantum - 2022 Technology, Innovation & Great Power Competition
 
Team Disinformation - 2022 Technology, Innovation & Great Power Competition
Team Disinformation - 2022 Technology, Innovation & Great Power CompetitionTeam Disinformation - 2022 Technology, Innovation & Great Power Competition
Team Disinformation - 2022 Technology, Innovation & Great Power Competition
 
Team Wargames - 2022 Technology, Innovation & Great Power Competition
Team Wargames - 2022 Technology, Innovation & Great Power CompetitionTeam Wargames - 2022 Technology, Innovation & Great Power Competition
Team Wargames - 2022 Technology, Innovation & Great Power Competition
 
Team Acquistion - 2022 Technology, Innovation & Great Power Competition
Team Acquistion - 2022 Technology, Innovation & Great Power Competition Team Acquistion - 2022 Technology, Innovation & Great Power Competition
Team Acquistion - 2022 Technology, Innovation & Great Power Competition
 
Team Climate Change - 2022 Technology, Innovation & Great Power Competition
Team Climate Change - 2022 Technology, Innovation & Great Power Competition Team Climate Change - 2022 Technology, Innovation & Great Power Competition
Team Climate Change - 2022 Technology, Innovation & Great Power Competition
 
Altuna Engr245 2022 Lessons Learned
Altuna Engr245 2022 Lessons LearnedAltuna Engr245 2022 Lessons Learned
Altuna Engr245 2022 Lessons Learned
 
Invisa Engr245 2022 Lessons Learned
Invisa Engr245 2022 Lessons LearnedInvisa Engr245 2022 Lessons Learned
Invisa Engr245 2022 Lessons Learned
 
ānanda Engr245 2022 Lessons Learned
ānanda Engr245 2022 Lessons Learnedānanda Engr245 2022 Lessons Learned
ānanda Engr245 2022 Lessons Learned
 
Gordian Knot Center Roundtable w/Depty SecDef
Gordian Knot Center Roundtable w/Depty SecDef Gordian Knot Center Roundtable w/Depty SecDef
Gordian Knot Center Roundtable w/Depty SecDef
 
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...
 
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...
 
Team Catena - 2021 Technology, Innovation & Great Power Competition
Team Catena - 2021 Technology, Innovation & Great Power CompetitionTeam Catena - 2021 Technology, Innovation & Great Power Competition
Team Catena - 2021 Technology, Innovation & Great Power Competition
 
Team Apollo - 2021 Technology, Innovation & Great Power Competition
Team Apollo - 2021 Technology, Innovation & Great Power CompetitionTeam Apollo - 2021 Technology, Innovation & Great Power Competition
Team Apollo - 2021 Technology, Innovation & Great Power Competition
 
Team Drone - 2021 Technology, Innovation & Great Power Competition
Team Drone - 2021 Technology, Innovation & Great Power CompetitionTeam Drone - 2021 Technology, Innovation & Great Power Competition
Team Drone - 2021 Technology, Innovation & Great Power Competition
 
Team Short Circuit - 2021 Technology, Innovation & Great Power Competition
Team Short Circuit - 2021 Technology, Innovation & Great Power CompetitionTeam Short Circuit - 2021 Technology, Innovation & Great Power Competition
Team Short Circuit - 2021 Technology, Innovation & Great Power Competition
 
Team Aurora - 2021 Technology, Innovation & Great Power Competition
Team Aurora - 2021 Technology, Innovation & Great Power CompetitionTeam Aurora - 2021 Technology, Innovation & Great Power Competition
Team Aurora - 2021 Technology, Innovation & Great Power Competition
 
Team Conflicted Capital Team - 2021 Technology, Innovation & Great Power Comp...
Team Conflicted Capital Team - 2021 Technology, Innovation & Great Power Comp...Team Conflicted Capital Team - 2021 Technology, Innovation & Great Power Comp...
Team Conflicted Capital Team - 2021 Technology, Innovation & Great Power Comp...
 
Lecture 8 - Technology, Innovation and Great Power Competition - Cyber
Lecture 8 - Technology, Innovation and Great Power Competition - CyberLecture 8 - Technology, Innovation and Great Power Competition - Cyber
Lecture 8 - Technology, Innovation and Great Power Competition - Cyber
 

Recently uploaded

Full Stack Web Development Course for Beginners
Full Stack Web Development Course for BeginnersFull Stack Web Development Course for Beginners
Full Stack Web Development Course for BeginnersSabitha Banu
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPCeline George
 
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptxiammrhaywood
 
Food processing presentation for bsc agriculture hons
Food processing presentation for bsc agriculture honsFood processing presentation for bsc agriculture hons
Food processing presentation for bsc agriculture honsManeerUddin
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSJoshuaGantuangco2
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptxmary850239
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designMIPLM
 
ROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxVanesaIglesias10
 
Music 9 - 4th quarter - Vocal Music of the Romantic Period.pptx
Music 9 - 4th quarter - Vocal Music of the Romantic Period.pptxMusic 9 - 4th quarter - Vocal Music of the Romantic Period.pptx
Music 9 - 4th quarter - Vocal Music of the Romantic Period.pptxleah joy valeriano
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4MiaBumagat1
 
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdfVirtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdfErwinPantujan2
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Celine George
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...Nguyen Thanh Tu Collection
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Mark Reed
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4JOYLYNSAMANIEGO
 
Concurrency Control in Database Management system
Concurrency Control in Database Management systemConcurrency Control in Database Management system
Concurrency Control in Database Management systemChristalin Nelson
 
Active Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfActive Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfPatidar M
 
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxQ4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxlancelewisportillo
 
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYKayeClaireEstoconing
 

Recently uploaded (20)

Full Stack Web Development Course for Beginners
Full Stack Web Development Course for BeginnersFull Stack Web Development Course for Beginners
Full Stack Web Development Course for Beginners
 
What is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERPWhat is Model Inheritance in Odoo 17 ERP
What is Model Inheritance in Odoo 17 ERP
 
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptxAUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
AUDIENCE THEORY -CULTIVATION THEORY - GERBNER.pptx
 
Food processing presentation for bsc agriculture hons
Food processing presentation for bsc agriculture honsFood processing presentation for bsc agriculture hons
Food processing presentation for bsc agriculture hons
 
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTSGRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
GRADE 4 - SUMMATIVE TEST QUARTER 4 ALL SUBJECTS
 
4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx4.18.24 Movement Legacies, Reflection, and Review.pptx
4.18.24 Movement Legacies, Reflection, and Review.pptx
 
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptxLEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
LEFT_ON_C'N_ PRELIMS_EL_DORADO_2024.pptx
 
Keynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-designKeynote by Prof. Wurzer at Nordex about IP-design
Keynote by Prof. Wurzer at Nordex about IP-design
 
ROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptxROLES IN A STAGE PRODUCTION in arts.pptx
ROLES IN A STAGE PRODUCTION in arts.pptx
 
Music 9 - 4th quarter - Vocal Music of the Romantic Period.pptx
Music 9 - 4th quarter - Vocal Music of the Romantic Period.pptxMusic 9 - 4th quarter - Vocal Music of the Romantic Period.pptx
Music 9 - 4th quarter - Vocal Music of the Romantic Period.pptx
 
ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4ANG SEKTOR NG agrikultura.pptx QUARTER 4
ANG SEKTOR NG agrikultura.pptx QUARTER 4
 
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdfVirtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
Virtual-Orientation-on-the-Administration-of-NATG12-NATG6-and-ELLNA.pdf
 
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
Incoming and Outgoing Shipments in 3 STEPS Using Odoo 17
 
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
HỌC TỐT TIẾNG ANH 11 THEO CHƯƠNG TRÌNH GLOBAL SUCCESS ĐÁP ÁN CHI TIẾT - CẢ NĂ...
 
Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)Influencing policy (training slides from Fast Track Impact)
Influencing policy (training slides from Fast Track Impact)
 
Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4Daily Lesson Plan in Mathematics Quarter 4
Daily Lesson Plan in Mathematics Quarter 4
 
Concurrency Control in Database Management system
Concurrency Control in Database Management systemConcurrency Control in Database Management system
Concurrency Control in Database Management system
 
Active Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdfActive Learning Strategies (in short ALS).pdf
Active Learning Strategies (in short ALS).pdf
 
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptxQ4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
Q4-PPT-Music9_Lesson-1-Romantic-Opera.pptx
 
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITYISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
ISYU TUNGKOL SA SEKSWLADIDA (ISSUE ABOUT SEXUALITY
 

Helmsman H4D 2020 Lessons Learned

  • 1.
  • 2.
  • 3. We Thought we Understood the Problem We Achieved Product- Mission Fit No Solutions Worked The Right People are Interested We Believe this could be a Viable Business PIVOT PIVOT Found Existing Solution for Waypoint Navigation
  • 4. MISSION BUDGET/COST (ordered by magnitude) 1. Materials for prototyping and R&D: sensors, structural components, tools (number of materials can be loaned at zero cost from key resources) 2. Testing 3. Computing resources 4. Data access (NASA gravity, US government, Stanford GIS, Descartes/Planet GIS) DEPLOYMENT - Test flight at Moffett Federal Airfield, Mountain View - Mass production by integrating to General Atomic, Lockheed Martin, Boeing, and Northrop Grumman assembly lines BUY-IN & SUPPORT DoD Joint Artificial Intelligence Center: approve the design and prototype Manufacturers: adopt design, mass produce our product, and integrate it into their existing systems KEY RESOURCES - Access to beneficiaries - Stanford faculty - Experts on drone warfare - Joint Artificial Intelligence Center - Access to self-driving, drone, and IoT tech in Silicon Valley KEY ACTIVITIES - Framing the problem - Conducting research and speaking with experts (military, academic, and industry) - Designing solution - Prototyping + Testing KEY PARTNERS - US Air Force - H4D team - Joint Artificial Intelligence Center - Stanford Research Labs (AA, geophysics departments) and Stanford Community - Drone manufacturers: General Atomic, Lockheed Martin, Northrop Grumman, Boeing MISSION ACHIEVEMENT/IMPACT FACTORS - Design approved by DoD or defense manufacturers - Deployment on at least one military-grade UAV and when tested, features with favourable processing time compared to current systems, reduced location uncertainty, improved F1 score on detections, and full functionality in GPS- denied environments We Started by Understanding Our Beneficiaries VALUE PROPOSITIONS 1. Reduced Risk of Drone Loss 1. Higher quality data and better decisions 1. Lower risk of detection BENEFICIARIES ● USAF UAV pilots ● USAF UAV commanders ● UAV manufacturers for DoD We Started by Understanding Our Beneficiaries MISSION BUDGET/COST (ordered by magnitude) 1. Materials for prototyping and R&D: sensors, structural components, tools (number of materials can be loaned at zero cost from key resources) 2. Testing 3. Computing resources 4. Data access (NASA gravity, US government, Stanford GIS, Descartes/Planet GIS) DEPLOYMENT - Test flight at Moffett Federal Airfield, Mountain View - Mass production by integrating to General Atomic, Lockheed Martin, Boeing, and Northrop Grumman assembly lines BUY-IN & SUPPORT DoD Joint Artificial Intelligence Center: approve the design and prototype Manufacturers: adopt design, mass produce our product, and integrate it into their existing systems BENEFICIARIES ● USAF UAV pilots ● USAF UAV commanders ● UAV manufacturers for DoD KEY RESOURCES - Access to beneficiaries - Stanford faculty - Experts on drone warfare - Joint Artificial Intelligence Center - Access to self-driving, drone, and IoT tech in Silicon Valley KEY ACTIVITIES - Framing the problem - Conducting research and speaking with experts (military, academic, and industry) - Designing solution - Prototyping + Testing KEY PARTNERS - US Air Force - H4D team - Joint Artificial Intelligence Center - Stanford Research Labs (AA, geophysics departments) and Stanford Community - Drone manufacturers: General Atomic, Lockheed Martin, Northrop Grumman, Boeing MISSION ACHIEVEMENT/IMPACT FACTORS - Design approved by DoD or defense manufacturers - Deployment on at least one military-grade UAV and when tested, features with favourable processing time compared to current systems, reduced location uncertainty, improved F1 score on detections, and full functionality in GPS- denied environments VALUE PROPOSITIONS 1. Reduced Risk of Drone Loss 1. Higher quality data and better decisions 1. Lower risk of detection
  • 5.
  • 6.
  • 7.
  • 8. No Solutions Worked We Thought we Understood the Problem PIVOT PIVOT: We shifted focus to oversea, waypoint navigation only.
  • 9.
  • 10.
  • 11. No Solutions Worked We Thought we Understood the Problem PIVOT PIVOT Found Existing Solution for Waypoint Navigation PIVOT: Skymark’s 100m accuracy leaves the overland target-area navigation problem unsolved, so we shifted our focus there.
  • 12. Overland | 1m Accuracy
  • 13.
  • 14.
  • 15. In each frame, satellite imagery and SAR topographic matching outputs lat-long coordinates Frames are overlaid, and visual odometry outputs velocity and acceleration
  • 16.
  • 17. We Thought we Understood the Problem No Solutions Worked We Achieved Product- Mission Fit PIVOT PIVOT Found Existing Solution for Waypoint Navigation
  • 18. MISSION BUDGET/COST (ordered by magnitude) 1. Materials for prototyping and R&D: sensors, structural components, tools (number of materials can be loaned at zero cost from key resources) 2. Testing 3. Computing resources 4. Data access (NASA gravity, US government, Stanford GIS, Descartes/Planet GIS) DEPLOYMENT - Test flight at Moffett Federal Airfield, Mountain View - Mass production by integrating to General Atomic, Lockheed Martin, Boeing, and Northrop Grumman assembly lines BUY-IN & SUPPORT DoD Joint Artificial Intelligence Center: approve the design and prototype Manufacturers: adopt design, mass produce our product, and integrate it into their existing systems KEY RESOURCES - Access to beneficiaries - Stanford faculty - Experts on drone warfare - Joint Artificial Intelligence Center - Access to self-driving, drone, and IoT tech in Silicon Valley KEY ACTIVITIES - Framing the problem - Conducting research and speaking with experts (military, academic, and industry) - Designing solution - Prototyping + Testing KEY PARTNERS - US Air Force - H4D team - Joint Artificial Intelligence Center - Stanford Research Labs (AA, geophysics departments) and Stanford Community - Drone manufacturers: General Atomic, Lockheed Martin, Northrop Grumman, Boeing MISSION ACHIEVEMENT/IMPACT FACTORS - Design approved by DoD or defense manufacturers - Deployment on at least one military-grade UAV and when tested, features with favourable processing time compared to current systems, reduced location uncertainty, improved F1 score on detections, and full functionality in GPS- denied environments VALUE PROPOSITIONS 1. Reduced Risk of Drone Loss 2. Ability to reach target 3. Lower risk of detection 4. Improved strategic reach BENEFICIARIES 1. USAF UAV pilots & Fighter Pilots 1. Mission Commanders MISSION BUDGET/COST (ordered by magnitude) 1. Materials for prototyping and R&D: sensors, structural components, tools (number of materials can be loaned at zero cost from key resources) 2. Testing 3. Computing resources 4. Data access (NASA gravity, US government, Stanford GIS, Descartes/Planet GIS) BUY-IN & SUPPORT DoD Joint Artificial Intelligence Center: approve the design and prototype Manufacturers: adopt design, mass produce our product, and integrate it into their existing systems KEY RESOURCES - Access to beneficiaries - Stanford faculty - Experts on drone warfare - Joint Artificial Intelligence Center - Access to self-driving, drone, and IoT tech in Silicon Valley KEY ACTIVITIES - Framing the problem - Conducting research and speaking with experts (military, academic, and industry) - Designing solution - Prototyping + Testing KEY PARTNERS ● H4D team ● Joint Artificial Intelligence Center ● 432nd command ● Planet Labs ● ISR Panel ● Air Superiority Panel ● Draper Labs ● General Atomics With Product-Mission Fit, We Shifted Our Focus to Deployment DEPLOYMENT 1. Develop software-only solution with NSF funding 2. Mature tech with MQ-9 PO funding and support 3. Purchase, Integration, and Testing by MQ-9 PO and General Atomics DEPLOYMENT 1. Develop software-only solution 2. Mature tech with MQ-9 PO 3. Purchase, Integration, and Testing by General Atomics
  • 19.
  • 20. Going forward... - Abhay, Stefano, and Freddy will continue - Incorporate - Software development - STTR Funding - Exploring dual-use + VC Funding down the line - Testing - Start deployment process in a year Contact us at: team_helmsman@lists.stanford.edu
  • 21. Going forward... - Abhay, Stefano, and Freddy will continue - Incorporate - Software development - STTR Funding - Exploring dual-use + VC Funding down the line - Testing - Start deployment process in a year Contact us at: team_helmsman@lists.stanford.edu

Editor's Notes

  1. Good evening. We are Team Helmsman, a group of 3 freshmen and a masters student sponsored by the Joint Artificial Intelligence Center, better known as the JAIC. Starting off, we knew nothing about the problem. All we had was a problem statement saying to eliminate electromagnetic emissions from military drones and fly in GPS-denied environments. However, after 101 interviews, our understanding of the problem changed, and we now know large military drones need to fly with high-precision navigation near their target in GPS-denied areas to complete their mission.
  2. Through the span of these 10 weeks, our 101 interviews included 28 active UAV and fighter pilots, 15 navigation experts from leading research institutions, 30 military contractors and UAV manufacturers, and 14 program managers, acquisitions, and requirements officers.
  3. Our journey was a roller-coaster ride with multiple pivots as our understanding of the problem evolved, our focus shifted, and our ideas for solutions hit dead ends. In this presentation, we will take you through this journey.
  4. The first week, we had a lot of hypotheses, and we started by first understanding our beneficiaries: their routines, their jobs, their pains, and their gains.
  5. Early on during the beneficiary discovery process, our problem sponsor Major Daniel Tadross in the JAIC precisely summarised that “the problem is that UAVs have no way to navigate in GPS-denied environments”
  6. Digging deeper, we learned that Challenges in UAV Navigation Comprise Two Segments: Overland and Oversea. In the representative mission, after the UAV takes off, first it must travel long distances over water navigating waypoint-to-waypoint before reaching the target area. At this stage, it requires approximately 100 m precision in its coordinates; as long as it's going in the right direction it will get there. Once the UAV reaches target area, it enters the next navigation segment: terminal phase navigation over land. At this point, precision requirements go up a bar, as position must be known to no less than 1m of error
  7. We were optimistic and tried to solve the problem as a whole, but as we explored solutions, we only hit dead ends. Existing magnetic field maps are not accurate enough for navigation. Dedicated radio signals like LORAN are jammable and were decommissioned. Signals of opportunity are geographically dependent and thus unreliable, and gravimetric sensors are not accurate enough to navigate by gravity.
  8. Our morale sunk as no solution worked, so we realized we had to pivot and pick one part of the problem to solve. We focused on oversea, waypoint navigation.
  9. Per a discussion with senior engineers at BAE Systems, as target area navigation first requires the aircraft get there, oversea waypoint navigation was the problem to focus on. Over water, we discovered that celestial navigation met pilots’ requirements.
  10. However, as we dug deeper into celestial navigation, we found we were right in going that path, but we were too late. We were surprised and disappointed to find that Draper Labs’ Skymark had already virtually solved the overwater problem, checking off requirements. As an established military contractor with piles of funding and a 4 year head start, they indicated they would soon deploy.
  11. We were bummed, but still persisted. Another opportunity opened. With waypoint navigation addressed, we pivoted to the problem of overland target area navigation, which remained open.
  12. With one path open, our new challenge was to navigate with 1-meter location precision within the target area over land. With new environments and new requirements, a number of new solution opportunities appeared.
  13. Focusing overland, we looked to the past to find solutions for the future. In the past, terrain contour matching, TERCOM, and digital scene-mapping area correlator, DSMAC, worked by imaging the ground below, through radar and conventional cameras respectively, and later comparing these images to an onboard georeferenced database. However, TERCOM and DSMAC restricted flight paths due to limited processing power, low accuracy, and limited image databases. Hence, GPS, which was cheaper, more accurate, and more reliable, replaced them. With time, these technologies were forgotten. Nowadays with faster processors, better cameras, higher resolution maps and modern algorithms, a modern version of TERCOM and DSMAC can become an unjammable replacement of GPS. _________ Faster processors, better cameras, higher-resolution maps, modern algorithms GPS Greater Precision, More Reliable, Lower Cost Solution No one was blocking GPS Everything old is new again Modern TERCOM measures change in altitude. Improvements in computing and memory, combined with the availability of global digital elevation maps, has reduced this problem, as TERCOM data is no longer limited to small patches, and the availability of side-looking radar allows much larger areas of landscape contour data to be acquired for comparison with the stored contour data. During the gulf war tomahawk missile were using DSMAC in the place of GPS because higher precision at the time.
  14. Our solution, Helm, does exactly that. It brings TERCOM and DSMAC into the 21st century with modern technology. As you may remember from the video, once a UAV enters a GPS-denied environment it starts taking pictures off the ground. Combining satellite imagery and topographic mapping, Helm matches the photographed image to the onboard satellite image database providing accurate lat long coordinates. For greater robustness, this tech is combined with visual odometry, a paradigm to track movement relative to the ground, which reinforces the onboard inertial navigation system.
  15. Our MVP overlays pictures of the ground, applying these three algorithms to accurately position itself within target area, guaranteeing 1m precision positioning throughout its path.
  16. With an MVP in mind, we reached out to our beneficiaries once more. Their feedback was very positive. One of them even mentioned: “You are making missions possible. With reliable precision positioning, pilots can locate targets and complete mission without GPS.”
  17. With this feedback suggesting product-mission fit, team morale soared!
  18. And so, once we had a desirable solution, we shifted our focus to deployment.
  19. We found key partners in industry and interested buyers in the Air Force and Navy who can help take our MVP to deployment. General Atomics has already offered to share engineering expertise and unclassified MQ-9 platform specs. Planet has offered cheap, high-resolution satellite imagery in bulk.
  20. With this support and deployment promise, Stefano, Freddy and myself want to incorporate and deploy our MVP. In the near future, we will build our software solution with STTR funding and integrate into existing hardware. Then, after exploring dual-use applications, with potential VC funding, we intend to rigorously flight test and finally deploy our solution to address a key part of GPS-denied navigation.
  21. With this support and deployment promise, Stefano, Freddy and myself want to incorporate and deploy our MVP. In the near future, we will build our software solution with STTR funding and integrate into existing hardware. Then, after exploring dual-use applications, with potential VC funding, we intend to rigorously flight test and finally deploy our solution to address a key part of GPS-denied navigation.
  22. On a concluding note, we would like to thank all those who shared their time and expertise with us, with a special thanks to our business mentor Todd Basche, our military liaison Lt Col Angie Waters, key supporter Marco Romani, and of course our sponsor Major Daniel Tadross,. The ideal thing to do in our video is to really drill into the problem and the solution so that people have already seen the problem in video “We’re Team Helmsman and we were asked by the JAIC to find a way to navigate UAVs in GPS-denied areas”. Then go right to the whole thing. “We looked at all kinds of solutions: overland and overseas but our successful MVP came from looking to the past.” Describe TERCOM and DSMAC for a few seconds and add a visual of an old plane using that. “But today we have modern XYZ, and our solution will be to combine XYZ” and demonstrate how the MVP works We can include the video montage after our introduction. “Recent history has shown that drones are lost…” A two minute narration of our solution and where the technologies came from and stitching it all together to create a map to get to target would be a brilliant use of the two minutes. The fact that Steve Blank wasn’t getting our MVP is a problem, and we need to fix that. If we can find videos of Tomahawks and MQ-9s and pilots, they’re cool visuals we could show as we describe the problem and solutions. Don’t waste time on Draper and what we didn’t do. Being able to have that animation and explain what’s happening is a money shot. He didn’t understand the VIO video. It’s a technical part of the solution that’s not as interesting as the narrative “we looked at the past and developed this technology that can do this.” It’s a super cool solution, but no one in the teaching team got it.