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H4Drone
Adam Chitwood | Ankit Harneja | Alex Kravets | Michael McGruddy | Siobhan Steel
Initial Problem Statement
Detect and identify small unmanned aerial systems,
including commercially available fixed wing and rotary
wing drones, in order to gain situational awareness of
imminent, aerial based threats.
Final Problem Statement
Inexpensive commercial-off-the-shelf (COTS) and do-it-
yourself (DIY) fixed and rotary wing drones are being
used for ISR and kinetic attacks. Deployed personnel
need a solution that neutralizes the threat of the enemy
drone.
Total Interviews
159
Military &
Government
Academia
Private
Sector
H4Drone Team Members
TEAM MEMBERS
Ankit Harneja Alex Kravets Michael McGruddy Siobhan Steel
Adam Chitwood
Degree program and
Department/Major
McDonough School of
Business
Edmund A. Walsh School of
Foreign Service, Security
Studies Program
Edmund A. Walsh School
of Foreign Service,
Security Studies Program
Edmund A. Walsh School
of Foreign Service, Security
Studies Program
Institute for the Study of
Diplomacy
Provide your LinkedIn public profile
URL
www.linkedin.com/in/ankit-
harneja-a99036105
www.linkedin.com/in/adkra
vets
www.linkedin.com/in/mcg
ruddy
www.linkedin.com/in/siob
han-steel-068a4154
https://isd.georgetown.edu/
Chitwood
How does your expertise fit the
problem?
Ankit has 3+ years of
experience with Accenture in
information technology and
product management. He has
worked on internal consulting,
client facing and downright
technical roles.
Alex built a few startups and
spent six years consulting
tier-1 carriers and startups
on product development,
rapid prototyping, and project
management. He has
experience in customer
discovery, product
requirements and agile
development.
Michael has 4+ years in
developing and managing
automated technical
systems that operate in
dynamic environments. He
also has experience with
big data, including the
construction of metrics to
track performance across a
wide range of areas.
Siobhan has 3 years of
experience in opposition
research and crisis/digital
communications. She has
experience in
understanding commercial
client needs, particularly
large energy clients facing
urgent situations.
8 years as a B-1 strategic
bomber pilot. USAF
Weapons School
Distinguished Graduate and
Air Force Lemay Award
Winner for best bomber crew
of the year. Expertise in the
EM spectrum and air defense
systems
Getting Out Of The Building
AWG Headquarter Visit - Fort MeadeFort AP HILL C-UAV Demo Day
UMD UAS Flight Test Center
AUSA Hot Topic: Army Air and Missile Defense
Multiple Visits to UAV Flight Parks Visited NOVA Labs Maker Community
Kinetic Attack, ISR, & Directing Car Bombs
Kill Chain
DETECT ➞ IDENTIFY ➞ NEUTRALIZE
Mission Model Canvas
Mission/Problem Description
Key Activities
Deployment
Value Propositions
Mission Budget/Cost Mission Achievement/Impact Factors
Key Resources
Buy-In & SupportKey Partners
Beneficiaries
Detect and identify small unmanned aerial systems, including commercially available
fixed wing and rotary wing drones, in order to gain situational awareness of imminent,
aerial based threats.
Public:
- AWG/ REF/ JIDO
Private:
- TBD.
Primary:
- Army Squad
- Combat Outposts
(COP)
- Forward Operating
Bases (FOB)
- Special Forces Teams
Secondary:
- AWG
- TRADOC/ SOCOM
- Staff Judge Advocate
(SJA)
- Acquisition/Reqs
- Relevant KOs
Primary:
- Avoid Aerial Surprise
- Categorize Threats
- Built-in Innovation Via
Commercial Technologies
- Cheap (By Comparison)
Secondary:
- Suggest possible
countermeasures
- Deploy countermeasures
to neutralize detected
threats
Identify a cost-effective, easily trainable, and man-portable system capable of
providing aerial-based situational awareness while passively integrating into
current operational procedures.
- Customer Discovery
- Commercial Market
Research
- GAP Analysis
- Requirement Creation
- Solution Development
- AWG Program
Sponsor
- H4D Military Liaisons
- H4D Mentors
- DoD Contacts
- Industry Contacts
- Proof of Concept Test
- Primary Environment
Simulation Testing
- 2017 Black Dart
Participation
- TRADOC/ SOCOM
Adoption
- AWG
- Primary Beneficiaries
- H4D Community
Budget/Cost still to be determined. We are looking at two MVPs with varying
potential costs.
Version 1
Uplink
Downlink
Exploit both uplink and
downlink to provide end
users situational
awareness
MVP
Capture & Display Video Feed
Original
Hypothesis
Second
HypothesesDetection
Encryption Library that can quickly be
accessed and cycled through to exploit
video feed
Neutralization
Specialized round, 37-40mm, or other
rail-mounted module
Kill Chain
DETECT ➞ IDENTIFY ➞ NEUTRALIZE
Hypothesis 1
Electronics on board are vulnerable to electronic
means of disablement
Hypothesis 2
It is possible to create a precision guided munition
that tracks towards drones
Use laser or direct energy weapon to conduct
functional kill of camera.
Hypothesis 4
Drone or ground fired “net munition”
Hypothesis 10
We can develop/encourage lacking doctrine,
tactics/training/procedures
Hypothesis 5
Carbon fiber frag munition (similar to BLU-129) with
proximity fuzed airburst
Hypothesis 6
Corrosive chemical that degrades drone component
Hypothesis 7
Expansive sticky chemical to destabilize drone flight.
Hypothesis 8
Kamikaze (friendly) drones to crash into threat drones
Hypothesis 3
Hypothesis 9
Use trained hawks and/or eagles to counter adversary
drones
The Mission Model
Canvas
Mission/Problem Description
Key Activities
Deployment
Value Propositions
Mission Budget/Cost Mission Achievement/Impact Factors
Key Resources
Buy-In & SupportKey Partners Beneficiaries
- Beneficiary Discovery
- Validate Hypotheses
- Refine Problem Scope
- Generate MVP
Inexpensive commercial-off-the-shelf (COTS) and do-it-yourself (DIY) fixed and
rotary wing drones are being used for ISR and kinetic attacks. Deployed
personnel need a solution that neutralizes the threat of the enemy drone.
- AWG
- U.S. Army Training
and Doctrine
Command (TRADOC)
- CAPE Productions
- ABC Inc (Munition)
Primary:
Direct Combat:
- SB, Navy Seal
- SL, AWG OA
- PI, Army Infantryman
(ISF/ PESH Surrogate)
Primary:
- Defeat Enemy Drone
- Enable Group 1 RPA
Provide an organic capability to destroy or neutralize any aerial-based drone that
presents a threat to US forces and its partners operating in the region.
- KH/ MH(AWG)
- Jim (H4D Military Liaison)
- RM (AWG Machinist)
- H4D / Industry Contacts
- DoD Contacts
- Proof of Concept Test
- Primary Environment
Simulation Testing
- TRADOC/ SOCOM
Acquisition
- Primary Beneficiaries
- Secondary Beneficiaries
- Requirement Officers
- Contracting Officers
Budget/Cost still to be determined.
DEPLOYED TROOPS
“OUTSIDE THE WIRE”
TIERED BENEFICIARY DIAGRAM
TARGET BENEFICIARIES
DEPLOYED TROOPS
“OUTSIDE THE WIRE”
TIERED BENEFICIARY DIAGRAM
TARGET BENEFICIARIES
FIELD
ARTILLERY
LOGISTICS
RESUPPLY TRAINS
LOGISTICS
REFUEL POINTS
U
P
S
T
R
E
A
M
DEPLOYED TROOPS
“OUTSIDE THE WIRE”
TIERED BENEFICIARY DIAGRAM
TARGET BENEFICIARIES
RECONNAISSANCE
TROOPS
LIGHT ARMOR
UNITS
INFANTRY
D
O
W
N
S
T
R
E
A
M
DEPLOYED TROOPS
“OUTSIDE THE WIRE”
TIERED BENEFICIARY DIAGRAM
TARGET BENEFICIARIES
FIELD
ARTILLERY
LOGISTICS
RESUPPLY TRAINS
LOGISTICS
REFUEL POINTS
RECONNAISSANCE
TROOPS
LIGHT ARMOR
UNITS
INFANTRY
U
P
S
T
R
E
A
M
D
O
W
N
S
T
R
E
A
M
DEPLOYED TROOPS
“OUTSIDE THE WIRE”
TIERED BENEFICIARY DIAGRAM
TARGET BENEFICIARIES
TERTIARY
BENEFICIARIES
FIELD
ARTILLERY
LOGISTICS
RESUPPLY TRAINS
LOGISTICS
REFUEL POINTS
RECONNAISSANCE
TROOPS
LIGHT ARMOR
UNITS
INFANTRY
U
P
S
T
R
E
A
M
D
O
W
N
S
T
R
E
A
M
TIERED BENEFICIARY DIAGRAM
TARGET BENEFICIARIES
TERTIARY
BENEFICIARIES
FIELD
ARTILLERY
LOGISTICS
RESUPPLY TRAINS
LOGISTICS
REFUEL POINTS
RECONNAISSANCE
TROOPS
LIGHT ARMOR
UNITS
INFANTRY
U
P
S
T
R
E
A
M
D
O
W
N
S
T
R
E
A
M
AIRFIELDS
FORWARD
OPERATING
BASES
COMMAND
OBSERVATION
POSTS
FIXED
ASSETS
DEPLOYED TROOPS
“OUTSIDE THE WIRE”
TIERED BENEFICIARY DIAGRAM
TARGET BENEFICIARIES
TERTIARY
BENEFICIARIES
PROVINCIAL
RECONSTRUCTION
TEAMS
ARMY
ENGINEERS
FIELD
ARTILLERY
LOGISTICS
RESUPPLY TRAINS
LOGISTICS
REFUEL POINTS
RECONNAISSANCE
TROOPS
LIGHT ARMOR
UNITS
INFANTRY
U
P
S
T
R
E
A
M
D
O
W
N
S
T
R
E
A
M
COMBAT
SUPPORT
SUPPORTING
UNITS
DEPLOYED TROOPS
“OUTSIDE THE WIRE”
TIERED BENEFICIARY DIAGRAM
TARGET BENEFICIARIES
TERTIARY
BENEFICIARIES
FIELD
ARTILLERY
LOGISTICS
RESUPPLY TRAINS
LOGISTICS
REFUEL POINTS
RECONNAISSANCE
TROOPS
LIGHT ARMOR
UNITS
INFANTRY
CLOSE
AIR
SUPPORT
MEDICAL/EVAC
HELICOPTERS
U
P
S
T
R
E
A
M
D
O
W
N
S
T
R
E
A
M
AIR BASED
UNITS
DEPLOYED TROOPS
“OUTSIDE THE WIRE”
TIERED BENEFICIARY DIAGRAM
TARGET BENEFICIARIES
TERTIARY
BENEFICIARIES
ISF/PROXY
FORCES
LOCAL &
MILITARY
POLICE
FIELD
ARTILLERY
LOGISTICS
RESUPPLY TRAINS
LOGISTICS
REFUEL POINTS
RECONNAISSANCE
TROOPS
LIGHT ARMOR
UNITS
INFANTRY
U
P
S
T
R
E
A
M
D
O
W
N
S
T
R
E
A
M
US PARTNER
FORCES
DEPLOYED TROOPS
“OUTSIDE THE WIRE”
TIERED BENEFICIARY DIAGRAM
TARGET BENEFICIARIES
TERTIARY
BENEFICIARIES
ISF/PROXY
FORCES
PROVINCIAL
RECONSTRUCTION
TEAMS
ARMY
ENGINEERS
LOCAL &
MILITARY
POLICE
FIELD
ARTILLERY
LOGISTICS
RESUPPLY TRAINS
LOGISTICS
REFUEL POINTS
RECONNAISSANCE
TROOPS
LIGHT ARMOR
UNITS
INFANTRY
CLOSE
AIR
SUPPORT
MEDICAL/EVAC
HELICOPTERS
U
P
S
T
R
E
A
M
D
O
W
N
S
T
R
E
A
M
AIRFIELDS
COMBAT
SUPPORT
FORWARD
OPERATING
BASES
COMMAND
OBSERVATION
POSTS
SUPPORTING
UNITS
US PARTNER
FORCES
AIR BASED
UNITS
FIXED
ASSETS
DEPLOYED TROOPS
“OUTSIDE THE WIRE”
DEPLOYED TROOPS
“OUTSIDE THE WIRE”
TIERED BENEFICIARY DIAGRAM
TARGET BENEFICIARIES
TERTIARY
BENEFICIARIES
ISF/PROXY
FORCES
PROVINCIAL
RECONSTRUCTION
TEAMS
ARMY
ENGINEERS
LOCAL &
MILITARY
POLICE
FIELD
ARTILLERY
LOGISTICS
RESUPPLY TRAINS
LOGISTICS
REFUEL POINTS
RECONNAISSANCE
TROOPS
LIGHT ARMOR
UNITS
INFANTRY
CLOSE
AIR
SUPPORT
MEDICAL/EVAC
HELICOPTERS
U
P
S
T
R
E
A
M
D
O
W
N
S
T
R
E
A
M
AIRFIELDS
COMBAT
SUPPORT
FORWARD
OPERATING
BASES
COMMAND
OBSERVATION
POSTS
SUPPORTING
UNITS
US PARTNER
FORCES
AIR BASED
UNITS
FIXED
ASSETS
DEPLOYED TROOPS
“OUTSIDE THE WIRE”
TIERED BENEFICIARY DIAGRAM
TARGET BENEFICIARIES
TERTIARY
BENEFICIARIES
ISF/PROXY
FORCES
PROVINCIAL
RECONSTRUCTION
TEAMS
ARMY
ENGINEERS
LOCAL &
MILITARY
POLICE
FIELD
ARTILLERY
LOGISTICS
RESUPPLY TRAINS
LOGISTICS
REFUEL POINTS
RECONNAISSANCE
TROOPS
LIGHT ARMOR
UNITS
INFANTRY
CLOSE
AIR
SUPPORT
MEDICAL/EVAC
HELICOPTERS
U
P
S
T
R
E
A
M
D
O
W
N
S
T
R
E
A
M
AIRFIELDS
COMBAT
SUPPORT
FORWARD
OPERATING
BASES
COMMAND
OBSERVATION
POSTS
SUPPORTING
UNITS
US PARTNER
FORCES
AIR BASED
UNITS
FIXED
ASSETS
DEPLOYED TROOPS
“OUTSIDE THE WIRE”
TIERED BENEFICIARY DIAGRAM
TARGET BENEFICIARIES
TERTIARY
BENEFICIARIES
ISF/PROXY
FORCES
PROVINCIAL
RECONSTRUCTION
TEAMS
ARMY
ENGINEERS
LOCAL &
MILITARY
POLICE
FIELD
ARTILLERY
LOGISTICS
RESUPPLY TRAINS
LOGISTICS
REFUEL POINTS
RECONNAISSANCE
TROOPS
LIGHT ARMOR
UNITS
INFANTRY
CLOSE
AIR
SUPPORT
MEDICAL/EVAC
HELICOPTERS
U
P
S
T
R
E
A
M
D
O
W
N
S
T
R
E
A
M
AIRFIELDS
COMBAT
SUPPORT
FORWARD
OPERATING
BASES
COMMAND
OBSERVATION
POSTS
SUPPORTING
UNITS
US PARTNER
FORCES
AIR BASED
UNITS
FIXED
ASSETS
DIRECT COMBAT
The Mission Model
Canvas
Mission/Problem Description
Key Activities
Deployment
Value Propositions
Mission Budget/Cost Mission Achievement/Impact Factors
Key Resources
Buy-In & SupportKey Partners Beneficiaries
- Beneficiary Discovery
- Validate Hypotheses
- Refine Problem Scope
- Generate MVP
Inexpensive commercial-off-the-shelf (COTS) and do-it-yourself (DIY) fixed and
rotary wing drones are being used for ISR and kinetic attacks. Deployed
personnel need a solution that neutralizes the threat of the enemy drone.
- AWG
- U.S. Army Training
and Doctrine
Command (TRADOC)
- CAPE Productions
- ABC Inc (Munition)
Primary:
Direct Combat:
- SB, Navy Seal
- SL, AWG OA
- PI, Army Infantryman
(ISF/ PESH Surrogate)
Primary:
- Defeat Enemy Drone
- Enable Group 1 RPA
Provide an organic capability to destroy or neutralize any aerial-based drone that
presents a threat to US forces and its partners operating in the region.
- KH/ MH(AWG)
- Jim (H4D Military Liaison)
- RM (AWG Machinist)
- H4D / Industry Contacts
- DoD Contacts
- Proof of Concept Test
- Primary Environment
Simulation Testing
- TRADOC/ SOCOM
Acquisition
- Primary Beneficiaries
- Secondary Beneficiaries
- Requirement Officers
- Contracting Officers
Budget/Cost still to be determined.
n+1 Hypothesis
Blue Force Drone-mounted Countermeasures
n+1 Hypothesis
Blue Force Drone-mounted Countermeasures
“AFRL Procured
6,400 rounds of
similar munition
3/21/17”
“High/low
velocity 40mm
being tested”
“Cheap, non-
lethal… Sticks n’
Strings!”
“Semi/Full Auto vs.
One Shot One Miss!”
“Will it work on
Fixed Wing?”
“How is
accuracy?”
n+2 Hypothesis
Develop an Integrated C-UAV Delivery Platform that is RPA-Enabled*
Keep in mind:
- Has broader implications than just C-sUAS
- Vetted by stakeholders in AWG, USMC, JIDO, UMD University Lab, and Industry
- The technology already exists today, mostly as Commercial Off-The-Shelf
*RPA = Remotely Piloted Aircraft
DETECTION
S O L D I E R D E P L O Y M E N T
V E H I C L E D E P L O Y M E N T
COP/ FOB D E P L O Y M E N T
RPA Platform
UAV Countermeasure Delivery System:
An Integrated C-UAV Platform Enabled by RPA
Soldier
Vehicle
COP / FOB
C-UAV Deployed via C-UAV Piloted via
Soldier In Field,
COP or FOB
Remote
Location
Benefits of RPA
● Experienced pilots unencumbered by situation on the ground
● Reduced training requirements and human error
● Tactical advantage is maximized
○ Access to the latest commercial hardware/software
○ New capabilities (C-UAS, ISR, Standoff, etc.)
○ Multiple RPAs can operate together if desired
Benefits of Multiple Deployment Methods
● C-UAV can be deployed to match current assessed threat
● Multiple UAVs can be deployed at once from multiple locations
● Individual soldier can control who pilots the aircraft based on threat
● Location of deployed asset can dictate the capabilities of that asset
○ COP/FOB deployed UAVs will be faster and more powerful
n+2 Hypothesis
Develop an Integrated C-UAV Delivery Platform that is RPA-Enabled*
Keep in mind:
- Has broader implications than just C-sUAS
- Vetted by stakeholders in AWG, USMC, JIDO, UMD University Lab, and Industry
- The technology already exists today, mostly as Commercial Off-The-Shelf
*RPA = Remotely Piloted Aircraft
“What about
latency? Won’t
that be an issue?”
“This will provide
new capabilities ”
“Provides
inexpensive ISR
assets at a lower
echelon.”
“What if the
adversary drone
sees the blue-force
drone and just
evades it?”
“Provides
inexpensive ISR
assets at a lower
echelon.”
“How is this going to
work in spectrum
challenged
environments or areas
with no network?”
“This is going to require a
massive cultural
change...good luck”
“If this works, it
would be a game
changer because it
would free my guys
on the ground”
“I like the idea of an
open architecture with
modular components
that can adapt and
expand with time”
Benefits and Objections (RPA-Enabled Platform)
1) Frees Up Operators on Ground
2) Provides New Capabilities (C-UAS, ISR, Standoff, + more)
3) Reduces Training Requirements and Human Error
4) Open and Module Architecture (Hardware Agnostic)
5) Adapts and Expands Alongside Technology
6) Can be Expanded to uXv’s
Benefits
Objections
1) Enemy Drone Will See and Evade ➔ Cameras Not Looking Up/Back
2) Drones End Up in a Dog Fight / Chase Scenario ➔ A Drone Taken Off Target is a Win
3) Latency ➔ 50-100ms, Location Dependant
4) Spectrum Challenged Environments ➔ Encryption
5) No Network ➔ Deploy Microwave Internet / SATCOM
6) Cultural + Doctrinal Shift ➔ ...Time/ Inevitability
CONOPS Aligned w/ Short/Long Term
Trends
Autonomous /
Intelligent
Systems
C3
Support
Infrastructure*
Low Cost
Unmanned
Systems
New Concept of Operations (CONOPS)
- Large numbers of lower cost, semi/fully
autonomous vehicles
- Enables Real-time ‘Human In The Loop’
Decision Making
- Decrease Costs
- Create Asymmetric Advantage
- Impose Complex & Costly Defensive
Measures Upon Our Adversary
*C3 = Command, Control, & Communications
Where Do We Fit In?
Autonomous /
Intelligent
Systems
C3
Support
Infrastructure
Low Cost
Unmanned
Systems
Where We Can Add Value
The Mission Model
Canvas
Mission/Problem Description
Key Activities
Deployment
Value Propositions
Mission Budget/Cost Mission Achievement/Impact Factors
Key Resources
Buy-In & SupportKey Partners Beneficiaries
- Beneficiary Discovery
- Develop / Integrate
Components of MVP
to Validate Concept
and Conduct
Demonstration for
Sponsor
Inexpensive commercial-off-the-shelf (COTS) and do-it-yourself (DIY) fixed and
rotary wing drones are being used for ISR and kinetic attacks. Deployed
personnel need a solution that neutralizes the threat of the enemy drone.
- AWG
- DIUx
- CAPE Productions
- Artificial Neural
Network SaaS
- Nvidia
Primary:
Direct Combat:
- SB, Navy Seal
- SL, AWG OA
- PI, Army Infantryman
(ISF/ PESH Surrogate)
- Integrated RPA C-sUAS
Platform
- Mounted Countermeasure
- Intelligent & Autonomous
C-sUAS Targeting &
Intercept System
Provide an organic capability to destroy or neutralize any aerial-based drone that
presents a threat to US forces and its partners operating in the region.
- KH/ MH(AWG)
- Jim (H4D Military Liaison)
- RM (AWG Machinist)
- H4D / Industry Contacts
- DoD Contacts
- AWG Buy-In
- AWG and DIUx
Collaboration
- Develop Successful
Demo Prototype
- COCOM issues
JUONS
- Primary Beneficiaries
- AWG Sponsors
- CCDRs
- Industry Partners
- Requirement Officers
- Contracting Officers
Version 11
Intelligent & Autonomous C-sUAS
Targeting & Intercept System
Identify ● Track ● Intercept
Phantom (98.7%)
Camera
(87%)
COTSHARDWARE COTS Hardware
COTSHARDWARE
UAV
Parts
COTS Hardware
Inexpensive UAV Components
COTSHARDWARE
UAV
Parts
GPU
Chips
COTS Hardware
Inexpensive, Powerful Small GPU Chips
COTSHARDWARE
UAV
Parts
GPU
Chips
COTS Software
COTSSOFTWARE
COTSHARDWARE
UAV
Parts
GPU
Chips
COTS Software
COTSSOFTWARE
COTS Software
UAV Flight Controllers, Autopilots, RPA
Flight
COTSHARDWARE
UAV
Parts
GPU
Chips
COTSSOFTWARE
COTS Software
‘Trainable’ Artificial Neural Networks
SaaS
Flight
AI
+
ML
Artificial Deep Learning
Neural Networks
Image Recognition
COTSHARDWARE
UAV
Parts
GPU
Chips
Product Vision
COTSSOFTWARE
Flight
AI
+
ML
Software
AI
+
ML
COTSHARDWARE
UAV
Parts
GPU
Chips
Product Vision
COTSSOFTWARE
Flight
AI
+
ML
Software
Preloaded, Trained Artificial Neural Network
AI
+
ML
COTSHARDWARE
UAV
Parts
GPU
Chips
Product Vision
COTSSOFTWARE
Flight
AI
+
ML
Software
Preloaded, Trained Artificial Neural Network
Onboard Passive Optical Data + Image Recognition
+
AI
+
ML
COTSHARDWARE
UAV
Parts
GPU
Chips
Product Vision
COTSSOFTWARE
Flight
AI
+
ML
Software
Preloaded, Trained Artificial Neural Network
Onboard Passive Optical Data + Image Recognition
AI Predictive Guidance System
+
+
AI
+
ML
COTSHARDWARE
UAV
Parts
GPU
Chips
Product Vision
COTSSOFTWARE
Flight
AI
+
ML
Software
Preloaded, Trained Artificial Neural Network
Onboard Passive Optical Data + Image Recognition
AI Predictive Guidance System
+
+
=
Intercept
AI
+
ML
TrackIdentify
COTSHARDWARE
UAV
Parts
GPU
Chips
Product Vision
COTSSOFTWARE
Flight
AI
+
ML
Software
Preloaded, Trained Artificial Neural Network
Onboard Passive Optical Data + Image Recognition
AI Predictive Guidance System
+
+
=
Intercept
AI
+
ML
TrackIdentify
HARDWARE
AGNOSTIC
COTSHARDWARE
UAV
Parts
GPU
Chips
Product Vision
COTSSOFTWARE
Flight
AI
+
ML
Software
Preloaded, Trained Artificial Neural Network
Onboard Passive Optical Data + Image Recognition
AI Predictive Guidance System
+
+
=
Intercept
AI
+
ML
TrackIdentify
HARDWARE
AGNOSTIC
Private
Industry
COTSHARDWARE
UAV
Parts
GPU
Chips
Product Vision
COTSSOFTWARE
Flight
AI
+
ML
Software
Preloaded, Trained Artificial Neural Network
Onboard Passive Optical Data + Image Recognition
AI Predictive Guidance System
+
+
=
Intercept
AI
+
ML
TrackIdentify
HARDWARE
AGNOSTIC
Private
Industry
Gov’t
Designed &
Assembled
COTSHARDWARE
UAV
Parts
GPU
Chips
Product Vision
COTSSOFTWARE
Flight
AI
+
ML
Software
Preloaded, Trained Artificial Neural Network
Onboard Passive Optical Data + Image Recognition
AI Predictive Guidance System
+
+
=
Intercept
AI
+
ML
TrackIdentify
HARDWARE
AGNOSTIC
Private
Industry
Gov’t
Designed &
Assembled
COTSHARDWARE
UAV
Parts
GPU
Chips
Product Vision
COTSSOFTWARE
Flight
AI
+
ML
Software
Preloaded, Trained Artificial Neural Network
Onboard Passive Optical Data + Image Recognition
AI Predictive Guidance System
+
+
=
Intercept
AI
+
ML
TrackIdentify
HARDWARE
AGNOSTIC
Private
Industry
Gov’t
Designed &
Assembled
High-Tech & Scalable
(Iterative Updates)
COTSHARDWARE
UAV
Parts
GPU
Chips
Product Vision
COTSSOFTWARE
Flight
AI
+
ML
Software
Preloaded, Trained Artificial Neural Network
Onboard Passive Optical Data + Image Recognition
AI Predictive Guidance System
+
+
=
Intercept
AI
+
ML
TrackIdentify
HARDWARE
AGNOSTIC
Private
Industry
Gov’t
Designed &
Assembled
High-Tech & Scalable
(Iterative Updates)
Low Cost
(Disposable)
COTSHARDWARE
UAV
Parts
GPU
Chips
Product Vision
COTSSOFTWARE
Flight
AI
+
ML
Software
Preloaded, Trained Artificial Neural Network
Onboard Passive Optical Data + Image Recognition
AI Predictive Guidance System
+
+
=
Intercept
AI
+
ML
TrackIdentify
HARDWARE
AGNOSTIC
Private
Industry
Gov’t
Designed &
Assembled
High-Tech & Scalable
(Iterative Updates)
Low Cost
(Disposable)
Quickly Deployable
(6-18 Months)
COTSHARDWARE
UAV
Parts
GPU
Chips
Product Vision
COTSSOFTWARE
Flight
AI
+
ML
Software
Preloaded, Trained Artificial Neural Network
Onboard Passive Optical Data + Image Recognition
AI Predictive Guidance System
+
+
=
Intercept
AI
+
ML
TrackIdentify
HARDWARE
AGNOSTIC
Private
Industry
Gov’t
Designed &
Assembled
Offensive Weapon Capability
(Less Expensive APKWS)
Technical Readiness Level
Technical Readiness Level
TRL 4
The Way Forward
$35,000
Train Neural
Network
- Create Data Set of
Training Images and
Videos (DJI P4)
- Create Virtual Brain
and Test Environment
3 Months
$90,000
Software & Hardware
Prototype
- Train Neural Network
(DJI P4)
- Leverage COTS + DIY
Drones & Components
- Sensor Testing
- Controlled Environment
6-9 Months
$500,000+
Version 2.0
+ Sensor Integration
+ Field Testing
- Integration of other
sensor data
- Real-world Data Set
- Live Environment
12-18 Months
Other Key Findings
Solutions Do Not All Work as Advertised1
Complex Problem Requiring Multiple Layered Solution2
Duplicative Efforts Across DoD (Team Spoke to 12+ Orgs)
and Private Industry (70+)
3
Knowledge is Silo’d & Not Shared5
FAA Restrictions Impede Testing Efforts6
Threat Is Just Beginning (Foreign & Domestic)7
Complex, Expensive Products Suffer From Feature Fatigue4
Narrative ArcEnlightenment
Time
Customer
Discovery
Begins
“The
problem
statement is
too broad”
“This
problem is
impossible”
Pivot to
neutralization
Hypothesis:
Kinetic Kill
Options
Hypo 2
Discovery of
RPA-Platform
and proof of
concept
Realization of all the
benefits an RPA-
Enabled platform would
actually bring our
beneficiaries...
“It’s a lot harder to
shoot something out of
the sky than we
thought”
“What if we could get
within 20 feet of an
adversary drone using
another drone to
expand our options?
We need to
get closer and
gain accuracy
Hypo 3: AI to
Identify, Track,
Intercept
THANK YOU
APPENDIX
The Value Proposition Canvas
Value Proposition: Customer Segment:
Gain Creators
Pain Relievers
Products
&
Services
Gains
Pains
Jobs
Beneficiary Archetype:
1) Increases probability of mission achievement
2) Reduces operational resources required
3) Adds a potential countermeasure that does not
currently exist
4) Decreases opportunity costs of dealing
with
a threat without proper
countermeasures
Remotely piloted
Blue Force UAV
Drone fired
countermeasure 1) Eliminates threat of drone
uncovering
concealed positions or disrupting
the
element of surprise
2) Mitigates the necessity of having to carry
specialized
equipment that adds significant weight to current kit
3) Reduces likelihood that an operator will be diverted for
unacceptable durations of time to deal with drone threat
1) Retain concealment and tactical element of surprise
2) Eliminate threat utilizing organic means
3) Eliminate threat without having to divert limited
resources often found in small units
4) Ability to quickly continue mission
without overhead distraction
1) Drones can uncover concealment and
disrupt element of surprise, especially at night
2) Some missions are conducted without a
dedicated line of support. This results in more limited
resources by which a threat can be engaged and
destroyed.
3) Being part of a smaller unit can sometimes mean that
a threat will require a higher percentage of resource
diversion than you might find in a more conventional
unit.
This can translate to a loss of manpower on
critical tasks
High
Level Missions
1) Reconnaissance
2) Counterinsurgency
3) Humanitarian Assistance
4) Overseas Partner Training
Missions
5) Hostage & Capture/Kill Raids
Lt. SB, US Navy Seal
Avg. age of enlisted: 29, Officers: 34, 8+ years
of conventional experience, likely to posses a college degree, has
studied a second language, lots of specialized training, access to new
Provide a neutralization solution that “kills” COTS/DIY drones
by electronic, physical, or cyber countermeasures allowing the beneficiary to conduct
mission without fear of unconcealment, disruption, harassment, or attack.
- US Special Operations
Unit Specific Jobs
*Highly dependent on core skill sets
acquired by each individual member
1) Communications
2) Advanced Demo
3) Dive Master
4) Medical
5) Sniper
The Value Proposition Canvas
Value Proposition: Customer Segment:
Gain Creators
Pain Relievers
Products
&
Services
Gains
Pains
Jobs
Beneficiary Archetype:
1. Adequate training, doctrine, TTPs,
etc
2. Knowledge of full spectrum of
neutralization solutions
3. Ability to test solutions rapidly in
different environments
4. Specialized solutions for certain
environments (if needed)
Remotely piloted
Blue Force UAV
Drone fired
countermeasure
1. Ability to neutralize the threat of
drone attack on vulnerable fuel,
equipment, and personnel
2. Ability to have threat handled
without distracting from mission
3. Adequate training, doctrine, TTPs,
etc
1) Often the equipment is available but
no one is trained so it sits unused
2) ROE and country limitations on use of equipment
3) Drones threaten their personnel, or themselves,
and interrupt mission cadence
4) Adjust to new adversary TTPs
1) Train, Advise, Equip
Partnered Ground
Forces
(main POC GF Commander)
2) Accompany
3) Record Lessons Learned
& promote best
practices + interoperability
4) Respond to Threats
(According to ROE)
SL, AWG Operational Advisor
30-40 Yrs, E7-E9, O3-O5; Mostly Male,
Experience is mission dependant, self motivated, high initiative, minimal
supervision required
Provide combat and combat support elements vulnerable to
enemy ISR and kinetic attack a neutralization solution that “kills” COTS/DIY drones by
electronic, physical, or cyber countermeasures allowing the beneficiary to conduct mission
without fear of disruption, harassment, or attack.
-AWG Operational Advisor
1) Good intel + receptive audience (GF
Cmd)
2) Neutralize threat of kinetic attack against vulnerable
material and personnel
3) Have the right equipment available
4) Be able to transfer knowledge and tactics to other
units and partner forces
5) Save resources from being diverted or
exhausted by substituting technology
The Value Proposition Canvas
Value Proposition: Customer Segment:
Gain Creators
Pain Relievers
Products
&
Services
Gains
Pains
Jobs
Beneficiary Archetype:
1. Diminish enemy’s ability to use
DIY/cheap drones
1. Inhibit enemy’s ability to advance
drones in the direction they are
currently aiming for (swarms, larger
munitions, expanded reach)
1. Protect infantrymen, stations,
organization, planning and equipment
1. Prevent casualties
1. Neutralization of threat w/o risk to own
assets or civilians
2. Eliminate threat with organic capabilities -
squad level control - divert few resources
for short periods
3. Limited distraction from mission
4. Use same procedures as
receiving indirect enemy fire
1. Drones used in ISR can be
detrimental to planning, attacks,
defensive lines, etc.
2. Suicide drones can and have killed
soldiers
3. Expanded use of drones to drop
munitions over troops
4. Can potentially be expanded with
larger munitions, or even
biological/chemical weapons
1) To locate
and destroy the
enemy, by fire or
maneuver, or repel the
enemy
2) Engage in close combat
3) Provide ‘Air Guard’
4) Guard critical assets and
‘centers of gravity’
5) Employ tactical
skills
PI, Army Infantry
GF NCO’s: 18-24 y/o, GF commanders/SNCOs: 24-32
y/o, 0-5 years of experience
Provide infantrymen vulnerable to enemy ISR & kinetic attacks
a mobile, soldier-directed neutralization solution that “kills” COTS/DIY drones by electronic,
physical, or cyber countermeasures, denying enemy SA or attack capabilities.
- Infantrymen (ISF/ PESH)
Remotely piloted
Blue Force UAV
Drone fired
countermeasure

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H4D Week 12 Final Presentation

  • 1. H4Drone Adam Chitwood | Ankit Harneja | Alex Kravets | Michael McGruddy | Siobhan Steel Initial Problem Statement Detect and identify small unmanned aerial systems, including commercially available fixed wing and rotary wing drones, in order to gain situational awareness of imminent, aerial based threats. Final Problem Statement Inexpensive commercial-off-the-shelf (COTS) and do-it- yourself (DIY) fixed and rotary wing drones are being used for ISR and kinetic attacks. Deployed personnel need a solution that neutralizes the threat of the enemy drone. Total Interviews 159 Military & Government Academia Private Sector
  • 2. H4Drone Team Members TEAM MEMBERS Ankit Harneja Alex Kravets Michael McGruddy Siobhan Steel Adam Chitwood Degree program and Department/Major McDonough School of Business Edmund A. Walsh School of Foreign Service, Security Studies Program Edmund A. Walsh School of Foreign Service, Security Studies Program Edmund A. Walsh School of Foreign Service, Security Studies Program Institute for the Study of Diplomacy Provide your LinkedIn public profile URL www.linkedin.com/in/ankit- harneja-a99036105 www.linkedin.com/in/adkra vets www.linkedin.com/in/mcg ruddy www.linkedin.com/in/siob han-steel-068a4154 https://isd.georgetown.edu/ Chitwood How does your expertise fit the problem? Ankit has 3+ years of experience with Accenture in information technology and product management. He has worked on internal consulting, client facing and downright technical roles. Alex built a few startups and spent six years consulting tier-1 carriers and startups on product development, rapid prototyping, and project management. He has experience in customer discovery, product requirements and agile development. Michael has 4+ years in developing and managing automated technical systems that operate in dynamic environments. He also has experience with big data, including the construction of metrics to track performance across a wide range of areas. Siobhan has 3 years of experience in opposition research and crisis/digital communications. She has experience in understanding commercial client needs, particularly large energy clients facing urgent situations. 8 years as a B-1 strategic bomber pilot. USAF Weapons School Distinguished Graduate and Air Force Lemay Award Winner for best bomber crew of the year. Expertise in the EM spectrum and air defense systems
  • 3. Getting Out Of The Building AWG Headquarter Visit - Fort MeadeFort AP HILL C-UAV Demo Day UMD UAS Flight Test Center AUSA Hot Topic: Army Air and Missile Defense Multiple Visits to UAV Flight Parks Visited NOVA Labs Maker Community
  • 4. Kinetic Attack, ISR, & Directing Car Bombs
  • 5. Kill Chain DETECT ➞ IDENTIFY ➞ NEUTRALIZE
  • 6. Mission Model Canvas Mission/Problem Description Key Activities Deployment Value Propositions Mission Budget/Cost Mission Achievement/Impact Factors Key Resources Buy-In & SupportKey Partners Beneficiaries Detect and identify small unmanned aerial systems, including commercially available fixed wing and rotary wing drones, in order to gain situational awareness of imminent, aerial based threats. Public: - AWG/ REF/ JIDO Private: - TBD. Primary: - Army Squad - Combat Outposts (COP) - Forward Operating Bases (FOB) - Special Forces Teams Secondary: - AWG - TRADOC/ SOCOM - Staff Judge Advocate (SJA) - Acquisition/Reqs - Relevant KOs Primary: - Avoid Aerial Surprise - Categorize Threats - Built-in Innovation Via Commercial Technologies - Cheap (By Comparison) Secondary: - Suggest possible countermeasures - Deploy countermeasures to neutralize detected threats Identify a cost-effective, easily trainable, and man-portable system capable of providing aerial-based situational awareness while passively integrating into current operational procedures. - Customer Discovery - Commercial Market Research - GAP Analysis - Requirement Creation - Solution Development - AWG Program Sponsor - H4D Military Liaisons - H4D Mentors - DoD Contacts - Industry Contacts - Proof of Concept Test - Primary Environment Simulation Testing - 2017 Black Dart Participation - TRADOC/ SOCOM Adoption - AWG - Primary Beneficiaries - H4D Community Budget/Cost still to be determined. We are looking at two MVPs with varying potential costs. Version 1
  • 7. Uplink Downlink Exploit both uplink and downlink to provide end users situational awareness MVP Capture & Display Video Feed Original Hypothesis
  • 8. Second HypothesesDetection Encryption Library that can quickly be accessed and cycled through to exploit video feed Neutralization Specialized round, 37-40mm, or other rail-mounted module
  • 9. Kill Chain DETECT ➞ IDENTIFY ➞ NEUTRALIZE
  • 10. Hypothesis 1 Electronics on board are vulnerable to electronic means of disablement Hypothesis 2 It is possible to create a precision guided munition that tracks towards drones Use laser or direct energy weapon to conduct functional kill of camera. Hypothesis 4 Drone or ground fired “net munition” Hypothesis 10 We can develop/encourage lacking doctrine, tactics/training/procedures Hypothesis 5 Carbon fiber frag munition (similar to BLU-129) with proximity fuzed airburst Hypothesis 6 Corrosive chemical that degrades drone component Hypothesis 7 Expansive sticky chemical to destabilize drone flight. Hypothesis 8 Kamikaze (friendly) drones to crash into threat drones Hypothesis 3 Hypothesis 9 Use trained hawks and/or eagles to counter adversary drones
  • 11. The Mission Model Canvas Mission/Problem Description Key Activities Deployment Value Propositions Mission Budget/Cost Mission Achievement/Impact Factors Key Resources Buy-In & SupportKey Partners Beneficiaries - Beneficiary Discovery - Validate Hypotheses - Refine Problem Scope - Generate MVP Inexpensive commercial-off-the-shelf (COTS) and do-it-yourself (DIY) fixed and rotary wing drones are being used for ISR and kinetic attacks. Deployed personnel need a solution that neutralizes the threat of the enemy drone. - AWG - U.S. Army Training and Doctrine Command (TRADOC) - CAPE Productions - ABC Inc (Munition) Primary: Direct Combat: - SB, Navy Seal - SL, AWG OA - PI, Army Infantryman (ISF/ PESH Surrogate) Primary: - Defeat Enemy Drone - Enable Group 1 RPA Provide an organic capability to destroy or neutralize any aerial-based drone that presents a threat to US forces and its partners operating in the region. - KH/ MH(AWG) - Jim (H4D Military Liaison) - RM (AWG Machinist) - H4D / Industry Contacts - DoD Contacts - Proof of Concept Test - Primary Environment Simulation Testing - TRADOC/ SOCOM Acquisition - Primary Beneficiaries - Secondary Beneficiaries - Requirement Officers - Contracting Officers Budget/Cost still to be determined.
  • 12. DEPLOYED TROOPS “OUTSIDE THE WIRE” TIERED BENEFICIARY DIAGRAM TARGET BENEFICIARIES
  • 13. DEPLOYED TROOPS “OUTSIDE THE WIRE” TIERED BENEFICIARY DIAGRAM TARGET BENEFICIARIES FIELD ARTILLERY LOGISTICS RESUPPLY TRAINS LOGISTICS REFUEL POINTS U P S T R E A M
  • 14. DEPLOYED TROOPS “OUTSIDE THE WIRE” TIERED BENEFICIARY DIAGRAM TARGET BENEFICIARIES RECONNAISSANCE TROOPS LIGHT ARMOR UNITS INFANTRY D O W N S T R E A M
  • 15. DEPLOYED TROOPS “OUTSIDE THE WIRE” TIERED BENEFICIARY DIAGRAM TARGET BENEFICIARIES FIELD ARTILLERY LOGISTICS RESUPPLY TRAINS LOGISTICS REFUEL POINTS RECONNAISSANCE TROOPS LIGHT ARMOR UNITS INFANTRY U P S T R E A M D O W N S T R E A M
  • 16. DEPLOYED TROOPS “OUTSIDE THE WIRE” TIERED BENEFICIARY DIAGRAM TARGET BENEFICIARIES TERTIARY BENEFICIARIES FIELD ARTILLERY LOGISTICS RESUPPLY TRAINS LOGISTICS REFUEL POINTS RECONNAISSANCE TROOPS LIGHT ARMOR UNITS INFANTRY U P S T R E A M D O W N S T R E A M
  • 17. TIERED BENEFICIARY DIAGRAM TARGET BENEFICIARIES TERTIARY BENEFICIARIES FIELD ARTILLERY LOGISTICS RESUPPLY TRAINS LOGISTICS REFUEL POINTS RECONNAISSANCE TROOPS LIGHT ARMOR UNITS INFANTRY U P S T R E A M D O W N S T R E A M AIRFIELDS FORWARD OPERATING BASES COMMAND OBSERVATION POSTS FIXED ASSETS DEPLOYED TROOPS “OUTSIDE THE WIRE”
  • 18. TIERED BENEFICIARY DIAGRAM TARGET BENEFICIARIES TERTIARY BENEFICIARIES PROVINCIAL RECONSTRUCTION TEAMS ARMY ENGINEERS FIELD ARTILLERY LOGISTICS RESUPPLY TRAINS LOGISTICS REFUEL POINTS RECONNAISSANCE TROOPS LIGHT ARMOR UNITS INFANTRY U P S T R E A M D O W N S T R E A M COMBAT SUPPORT SUPPORTING UNITS DEPLOYED TROOPS “OUTSIDE THE WIRE”
  • 19. TIERED BENEFICIARY DIAGRAM TARGET BENEFICIARIES TERTIARY BENEFICIARIES FIELD ARTILLERY LOGISTICS RESUPPLY TRAINS LOGISTICS REFUEL POINTS RECONNAISSANCE TROOPS LIGHT ARMOR UNITS INFANTRY CLOSE AIR SUPPORT MEDICAL/EVAC HELICOPTERS U P S T R E A M D O W N S T R E A M AIR BASED UNITS DEPLOYED TROOPS “OUTSIDE THE WIRE”
  • 20. TIERED BENEFICIARY DIAGRAM TARGET BENEFICIARIES TERTIARY BENEFICIARIES ISF/PROXY FORCES LOCAL & MILITARY POLICE FIELD ARTILLERY LOGISTICS RESUPPLY TRAINS LOGISTICS REFUEL POINTS RECONNAISSANCE TROOPS LIGHT ARMOR UNITS INFANTRY U P S T R E A M D O W N S T R E A M US PARTNER FORCES DEPLOYED TROOPS “OUTSIDE THE WIRE”
  • 21. TIERED BENEFICIARY DIAGRAM TARGET BENEFICIARIES TERTIARY BENEFICIARIES ISF/PROXY FORCES PROVINCIAL RECONSTRUCTION TEAMS ARMY ENGINEERS LOCAL & MILITARY POLICE FIELD ARTILLERY LOGISTICS RESUPPLY TRAINS LOGISTICS REFUEL POINTS RECONNAISSANCE TROOPS LIGHT ARMOR UNITS INFANTRY CLOSE AIR SUPPORT MEDICAL/EVAC HELICOPTERS U P S T R E A M D O W N S T R E A M AIRFIELDS COMBAT SUPPORT FORWARD OPERATING BASES COMMAND OBSERVATION POSTS SUPPORTING UNITS US PARTNER FORCES AIR BASED UNITS FIXED ASSETS DEPLOYED TROOPS “OUTSIDE THE WIRE”
  • 22. DEPLOYED TROOPS “OUTSIDE THE WIRE” TIERED BENEFICIARY DIAGRAM TARGET BENEFICIARIES TERTIARY BENEFICIARIES ISF/PROXY FORCES PROVINCIAL RECONSTRUCTION TEAMS ARMY ENGINEERS LOCAL & MILITARY POLICE FIELD ARTILLERY LOGISTICS RESUPPLY TRAINS LOGISTICS REFUEL POINTS RECONNAISSANCE TROOPS LIGHT ARMOR UNITS INFANTRY CLOSE AIR SUPPORT MEDICAL/EVAC HELICOPTERS U P S T R E A M D O W N S T R E A M AIRFIELDS COMBAT SUPPORT FORWARD OPERATING BASES COMMAND OBSERVATION POSTS SUPPORTING UNITS US PARTNER FORCES AIR BASED UNITS FIXED ASSETS
  • 23. DEPLOYED TROOPS “OUTSIDE THE WIRE” TIERED BENEFICIARY DIAGRAM TARGET BENEFICIARIES TERTIARY BENEFICIARIES ISF/PROXY FORCES PROVINCIAL RECONSTRUCTION TEAMS ARMY ENGINEERS LOCAL & MILITARY POLICE FIELD ARTILLERY LOGISTICS RESUPPLY TRAINS LOGISTICS REFUEL POINTS RECONNAISSANCE TROOPS LIGHT ARMOR UNITS INFANTRY CLOSE AIR SUPPORT MEDICAL/EVAC HELICOPTERS U P S T R E A M D O W N S T R E A M AIRFIELDS COMBAT SUPPORT FORWARD OPERATING BASES COMMAND OBSERVATION POSTS SUPPORTING UNITS US PARTNER FORCES AIR BASED UNITS FIXED ASSETS
  • 24. DEPLOYED TROOPS “OUTSIDE THE WIRE” TIERED BENEFICIARY DIAGRAM TARGET BENEFICIARIES TERTIARY BENEFICIARIES ISF/PROXY FORCES PROVINCIAL RECONSTRUCTION TEAMS ARMY ENGINEERS LOCAL & MILITARY POLICE FIELD ARTILLERY LOGISTICS RESUPPLY TRAINS LOGISTICS REFUEL POINTS RECONNAISSANCE TROOPS LIGHT ARMOR UNITS INFANTRY CLOSE AIR SUPPORT MEDICAL/EVAC HELICOPTERS U P S T R E A M D O W N S T R E A M AIRFIELDS COMBAT SUPPORT FORWARD OPERATING BASES COMMAND OBSERVATION POSTS SUPPORTING UNITS US PARTNER FORCES AIR BASED UNITS FIXED ASSETS DIRECT COMBAT
  • 25. The Mission Model Canvas Mission/Problem Description Key Activities Deployment Value Propositions Mission Budget/Cost Mission Achievement/Impact Factors Key Resources Buy-In & SupportKey Partners Beneficiaries - Beneficiary Discovery - Validate Hypotheses - Refine Problem Scope - Generate MVP Inexpensive commercial-off-the-shelf (COTS) and do-it-yourself (DIY) fixed and rotary wing drones are being used for ISR and kinetic attacks. Deployed personnel need a solution that neutralizes the threat of the enemy drone. - AWG - U.S. Army Training and Doctrine Command (TRADOC) - CAPE Productions - ABC Inc (Munition) Primary: Direct Combat: - SB, Navy Seal - SL, AWG OA - PI, Army Infantryman (ISF/ PESH Surrogate) Primary: - Defeat Enemy Drone - Enable Group 1 RPA Provide an organic capability to destroy or neutralize any aerial-based drone that presents a threat to US forces and its partners operating in the region. - KH/ MH(AWG) - Jim (H4D Military Liaison) - RM (AWG Machinist) - H4D / Industry Contacts - DoD Contacts - Proof of Concept Test - Primary Environment Simulation Testing - TRADOC/ SOCOM Acquisition - Primary Beneficiaries - Secondary Beneficiaries - Requirement Officers - Contracting Officers Budget/Cost still to be determined.
  • 26. n+1 Hypothesis Blue Force Drone-mounted Countermeasures
  • 27. n+1 Hypothesis Blue Force Drone-mounted Countermeasures “AFRL Procured 6,400 rounds of similar munition 3/21/17” “High/low velocity 40mm being tested” “Cheap, non- lethal… Sticks n’ Strings!” “Semi/Full Auto vs. One Shot One Miss!” “Will it work on Fixed Wing?” “How is accuracy?”
  • 28. n+2 Hypothesis Develop an Integrated C-UAV Delivery Platform that is RPA-Enabled* Keep in mind: - Has broader implications than just C-sUAS - Vetted by stakeholders in AWG, USMC, JIDO, UMD University Lab, and Industry - The technology already exists today, mostly as Commercial Off-The-Shelf *RPA = Remotely Piloted Aircraft
  • 30. S O L D I E R D E P L O Y M E N T
  • 31. V E H I C L E D E P L O Y M E N T
  • 32. COP/ FOB D E P L O Y M E N T
  • 33. RPA Platform UAV Countermeasure Delivery System: An Integrated C-UAV Platform Enabled by RPA Soldier Vehicle COP / FOB C-UAV Deployed via C-UAV Piloted via Soldier In Field, COP or FOB Remote Location Benefits of RPA ● Experienced pilots unencumbered by situation on the ground ● Reduced training requirements and human error ● Tactical advantage is maximized ○ Access to the latest commercial hardware/software ○ New capabilities (C-UAS, ISR, Standoff, etc.) ○ Multiple RPAs can operate together if desired Benefits of Multiple Deployment Methods ● C-UAV can be deployed to match current assessed threat ● Multiple UAVs can be deployed at once from multiple locations ● Individual soldier can control who pilots the aircraft based on threat ● Location of deployed asset can dictate the capabilities of that asset ○ COP/FOB deployed UAVs will be faster and more powerful
  • 34. n+2 Hypothesis Develop an Integrated C-UAV Delivery Platform that is RPA-Enabled* Keep in mind: - Has broader implications than just C-sUAS - Vetted by stakeholders in AWG, USMC, JIDO, UMD University Lab, and Industry - The technology already exists today, mostly as Commercial Off-The-Shelf *RPA = Remotely Piloted Aircraft “What about latency? Won’t that be an issue?” “This will provide new capabilities ” “Provides inexpensive ISR assets at a lower echelon.” “What if the adversary drone sees the blue-force drone and just evades it?” “Provides inexpensive ISR assets at a lower echelon.” “How is this going to work in spectrum challenged environments or areas with no network?” “This is going to require a massive cultural change...good luck” “If this works, it would be a game changer because it would free my guys on the ground” “I like the idea of an open architecture with modular components that can adapt and expand with time”
  • 35. Benefits and Objections (RPA-Enabled Platform) 1) Frees Up Operators on Ground 2) Provides New Capabilities (C-UAS, ISR, Standoff, + more) 3) Reduces Training Requirements and Human Error 4) Open and Module Architecture (Hardware Agnostic) 5) Adapts and Expands Alongside Technology 6) Can be Expanded to uXv’s Benefits Objections 1) Enemy Drone Will See and Evade ➔ Cameras Not Looking Up/Back 2) Drones End Up in a Dog Fight / Chase Scenario ➔ A Drone Taken Off Target is a Win 3) Latency ➔ 50-100ms, Location Dependant 4) Spectrum Challenged Environments ➔ Encryption 5) No Network ➔ Deploy Microwave Internet / SATCOM 6) Cultural + Doctrinal Shift ➔ ...Time/ Inevitability
  • 36. CONOPS Aligned w/ Short/Long Term Trends Autonomous / Intelligent Systems C3 Support Infrastructure* Low Cost Unmanned Systems New Concept of Operations (CONOPS) - Large numbers of lower cost, semi/fully autonomous vehicles - Enables Real-time ‘Human In The Loop’ Decision Making - Decrease Costs - Create Asymmetric Advantage - Impose Complex & Costly Defensive Measures Upon Our Adversary *C3 = Command, Control, & Communications
  • 37. Where Do We Fit In? Autonomous / Intelligent Systems C3 Support Infrastructure Low Cost Unmanned Systems Where We Can Add Value
  • 38. The Mission Model Canvas Mission/Problem Description Key Activities Deployment Value Propositions Mission Budget/Cost Mission Achievement/Impact Factors Key Resources Buy-In & SupportKey Partners Beneficiaries - Beneficiary Discovery - Develop / Integrate Components of MVP to Validate Concept and Conduct Demonstration for Sponsor Inexpensive commercial-off-the-shelf (COTS) and do-it-yourself (DIY) fixed and rotary wing drones are being used for ISR and kinetic attacks. Deployed personnel need a solution that neutralizes the threat of the enemy drone. - AWG - DIUx - CAPE Productions - Artificial Neural Network SaaS - Nvidia Primary: Direct Combat: - SB, Navy Seal - SL, AWG OA - PI, Army Infantryman (ISF/ PESH Surrogate) - Integrated RPA C-sUAS Platform - Mounted Countermeasure - Intelligent & Autonomous C-sUAS Targeting & Intercept System Provide an organic capability to destroy or neutralize any aerial-based drone that presents a threat to US forces and its partners operating in the region. - KH/ MH(AWG) - Jim (H4D Military Liaison) - RM (AWG Machinist) - H4D / Industry Contacts - DoD Contacts - AWG Buy-In - AWG and DIUx Collaboration - Develop Successful Demo Prototype - COCOM issues JUONS - Primary Beneficiaries - AWG Sponsors - CCDRs - Industry Partners - Requirement Officers - Contracting Officers Version 11
  • 39. Intelligent & Autonomous C-sUAS Targeting & Intercept System Identify ● Track ● Intercept Phantom (98.7%) Camera (87%)
  • 45. COTSHARDWARE UAV Parts GPU Chips COTSSOFTWARE COTS Software ‘Trainable’ Artificial Neural Networks SaaS Flight AI + ML Artificial Deep Learning Neural Networks Image Recognition
  • 48. COTSHARDWARE UAV Parts GPU Chips Product Vision COTSSOFTWARE Flight AI + ML Software Preloaded, Trained Artificial Neural Network Onboard Passive Optical Data + Image Recognition + AI + ML
  • 49. COTSHARDWARE UAV Parts GPU Chips Product Vision COTSSOFTWARE Flight AI + ML Software Preloaded, Trained Artificial Neural Network Onboard Passive Optical Data + Image Recognition AI Predictive Guidance System + + AI + ML
  • 50. COTSHARDWARE UAV Parts GPU Chips Product Vision COTSSOFTWARE Flight AI + ML Software Preloaded, Trained Artificial Neural Network Onboard Passive Optical Data + Image Recognition AI Predictive Guidance System + + = Intercept AI + ML TrackIdentify
  • 51. COTSHARDWARE UAV Parts GPU Chips Product Vision COTSSOFTWARE Flight AI + ML Software Preloaded, Trained Artificial Neural Network Onboard Passive Optical Data + Image Recognition AI Predictive Guidance System + + = Intercept AI + ML TrackIdentify HARDWARE AGNOSTIC
  • 52. COTSHARDWARE UAV Parts GPU Chips Product Vision COTSSOFTWARE Flight AI + ML Software Preloaded, Trained Artificial Neural Network Onboard Passive Optical Data + Image Recognition AI Predictive Guidance System + + = Intercept AI + ML TrackIdentify HARDWARE AGNOSTIC Private Industry
  • 53. COTSHARDWARE UAV Parts GPU Chips Product Vision COTSSOFTWARE Flight AI + ML Software Preloaded, Trained Artificial Neural Network Onboard Passive Optical Data + Image Recognition AI Predictive Guidance System + + = Intercept AI + ML TrackIdentify HARDWARE AGNOSTIC Private Industry Gov’t Designed & Assembled
  • 54. COTSHARDWARE UAV Parts GPU Chips Product Vision COTSSOFTWARE Flight AI + ML Software Preloaded, Trained Artificial Neural Network Onboard Passive Optical Data + Image Recognition AI Predictive Guidance System + + = Intercept AI + ML TrackIdentify HARDWARE AGNOSTIC Private Industry Gov’t Designed & Assembled
  • 55. COTSHARDWARE UAV Parts GPU Chips Product Vision COTSSOFTWARE Flight AI + ML Software Preloaded, Trained Artificial Neural Network Onboard Passive Optical Data + Image Recognition AI Predictive Guidance System + + = Intercept AI + ML TrackIdentify HARDWARE AGNOSTIC Private Industry Gov’t Designed & Assembled High-Tech & Scalable (Iterative Updates)
  • 56. COTSHARDWARE UAV Parts GPU Chips Product Vision COTSSOFTWARE Flight AI + ML Software Preloaded, Trained Artificial Neural Network Onboard Passive Optical Data + Image Recognition AI Predictive Guidance System + + = Intercept AI + ML TrackIdentify HARDWARE AGNOSTIC Private Industry Gov’t Designed & Assembled High-Tech & Scalable (Iterative Updates) Low Cost (Disposable)
  • 57. COTSHARDWARE UAV Parts GPU Chips Product Vision COTSSOFTWARE Flight AI + ML Software Preloaded, Trained Artificial Neural Network Onboard Passive Optical Data + Image Recognition AI Predictive Guidance System + + = Intercept AI + ML TrackIdentify HARDWARE AGNOSTIC Private Industry Gov’t Designed & Assembled High-Tech & Scalable (Iterative Updates) Low Cost (Disposable) Quickly Deployable (6-18 Months)
  • 58. COTSHARDWARE UAV Parts GPU Chips Product Vision COTSSOFTWARE Flight AI + ML Software Preloaded, Trained Artificial Neural Network Onboard Passive Optical Data + Image Recognition AI Predictive Guidance System + + = Intercept AI + ML TrackIdentify HARDWARE AGNOSTIC Private Industry Gov’t Designed & Assembled Offensive Weapon Capability (Less Expensive APKWS)
  • 61. The Way Forward $35,000 Train Neural Network - Create Data Set of Training Images and Videos (DJI P4) - Create Virtual Brain and Test Environment 3 Months $90,000 Software & Hardware Prototype - Train Neural Network (DJI P4) - Leverage COTS + DIY Drones & Components - Sensor Testing - Controlled Environment 6-9 Months $500,000+ Version 2.0 + Sensor Integration + Field Testing - Integration of other sensor data - Real-world Data Set - Live Environment 12-18 Months
  • 62. Other Key Findings Solutions Do Not All Work as Advertised1 Complex Problem Requiring Multiple Layered Solution2 Duplicative Efforts Across DoD (Team Spoke to 12+ Orgs) and Private Industry (70+) 3 Knowledge is Silo’d & Not Shared5 FAA Restrictions Impede Testing Efforts6 Threat Is Just Beginning (Foreign & Domestic)7 Complex, Expensive Products Suffer From Feature Fatigue4
  • 63. Narrative ArcEnlightenment Time Customer Discovery Begins “The problem statement is too broad” “This problem is impossible” Pivot to neutralization Hypothesis: Kinetic Kill Options Hypo 2 Discovery of RPA-Platform and proof of concept Realization of all the benefits an RPA- Enabled platform would actually bring our beneficiaries... “It’s a lot harder to shoot something out of the sky than we thought” “What if we could get within 20 feet of an adversary drone using another drone to expand our options? We need to get closer and gain accuracy Hypo 3: AI to Identify, Track, Intercept
  • 66. The Value Proposition Canvas Value Proposition: Customer Segment: Gain Creators Pain Relievers Products & Services Gains Pains Jobs Beneficiary Archetype: 1) Increases probability of mission achievement 2) Reduces operational resources required 3) Adds a potential countermeasure that does not currently exist 4) Decreases opportunity costs of dealing with a threat without proper countermeasures Remotely piloted Blue Force UAV Drone fired countermeasure 1) Eliminates threat of drone uncovering concealed positions or disrupting the element of surprise 2) Mitigates the necessity of having to carry specialized equipment that adds significant weight to current kit 3) Reduces likelihood that an operator will be diverted for unacceptable durations of time to deal with drone threat 1) Retain concealment and tactical element of surprise 2) Eliminate threat utilizing organic means 3) Eliminate threat without having to divert limited resources often found in small units 4) Ability to quickly continue mission without overhead distraction 1) Drones can uncover concealment and disrupt element of surprise, especially at night 2) Some missions are conducted without a dedicated line of support. This results in more limited resources by which a threat can be engaged and destroyed. 3) Being part of a smaller unit can sometimes mean that a threat will require a higher percentage of resource diversion than you might find in a more conventional unit. This can translate to a loss of manpower on critical tasks High Level Missions 1) Reconnaissance 2) Counterinsurgency 3) Humanitarian Assistance 4) Overseas Partner Training Missions 5) Hostage & Capture/Kill Raids Lt. SB, US Navy Seal Avg. age of enlisted: 29, Officers: 34, 8+ years of conventional experience, likely to posses a college degree, has studied a second language, lots of specialized training, access to new Provide a neutralization solution that “kills” COTS/DIY drones by electronic, physical, or cyber countermeasures allowing the beneficiary to conduct mission without fear of unconcealment, disruption, harassment, or attack. - US Special Operations Unit Specific Jobs *Highly dependent on core skill sets acquired by each individual member 1) Communications 2) Advanced Demo 3) Dive Master 4) Medical 5) Sniper
  • 67. The Value Proposition Canvas Value Proposition: Customer Segment: Gain Creators Pain Relievers Products & Services Gains Pains Jobs Beneficiary Archetype: 1. Adequate training, doctrine, TTPs, etc 2. Knowledge of full spectrum of neutralization solutions 3. Ability to test solutions rapidly in different environments 4. Specialized solutions for certain environments (if needed) Remotely piloted Blue Force UAV Drone fired countermeasure 1. Ability to neutralize the threat of drone attack on vulnerable fuel, equipment, and personnel 2. Ability to have threat handled without distracting from mission 3. Adequate training, doctrine, TTPs, etc 1) Often the equipment is available but no one is trained so it sits unused 2) ROE and country limitations on use of equipment 3) Drones threaten their personnel, or themselves, and interrupt mission cadence 4) Adjust to new adversary TTPs 1) Train, Advise, Equip Partnered Ground Forces (main POC GF Commander) 2) Accompany 3) Record Lessons Learned & promote best practices + interoperability 4) Respond to Threats (According to ROE) SL, AWG Operational Advisor 30-40 Yrs, E7-E9, O3-O5; Mostly Male, Experience is mission dependant, self motivated, high initiative, minimal supervision required Provide combat and combat support elements vulnerable to enemy ISR and kinetic attack a neutralization solution that “kills” COTS/DIY drones by electronic, physical, or cyber countermeasures allowing the beneficiary to conduct mission without fear of disruption, harassment, or attack. -AWG Operational Advisor 1) Good intel + receptive audience (GF Cmd) 2) Neutralize threat of kinetic attack against vulnerable material and personnel 3) Have the right equipment available 4) Be able to transfer knowledge and tactics to other units and partner forces 5) Save resources from being diverted or exhausted by substituting technology
  • 68. The Value Proposition Canvas Value Proposition: Customer Segment: Gain Creators Pain Relievers Products & Services Gains Pains Jobs Beneficiary Archetype: 1. Diminish enemy’s ability to use DIY/cheap drones 1. Inhibit enemy’s ability to advance drones in the direction they are currently aiming for (swarms, larger munitions, expanded reach) 1. Protect infantrymen, stations, organization, planning and equipment 1. Prevent casualties 1. Neutralization of threat w/o risk to own assets or civilians 2. Eliminate threat with organic capabilities - squad level control - divert few resources for short periods 3. Limited distraction from mission 4. Use same procedures as receiving indirect enemy fire 1. Drones used in ISR can be detrimental to planning, attacks, defensive lines, etc. 2. Suicide drones can and have killed soldiers 3. Expanded use of drones to drop munitions over troops 4. Can potentially be expanded with larger munitions, or even biological/chemical weapons 1) To locate and destroy the enemy, by fire or maneuver, or repel the enemy 2) Engage in close combat 3) Provide ‘Air Guard’ 4) Guard critical assets and ‘centers of gravity’ 5) Employ tactical skills PI, Army Infantry GF NCO’s: 18-24 y/o, GF commanders/SNCOs: 24-32 y/o, 0-5 years of experience Provide infantrymen vulnerable to enemy ISR & kinetic attacks a mobile, soldier-directed neutralization solution that “kills” COTS/DIY drones by electronic, physical, or cyber countermeasures, denying enemy SA or attack capabilities. - Infantrymen (ISF/ PESH) Remotely piloted Blue Force UAV Drone fired countermeasure