This document discusses the progress and challenges of autonomous vehicle technology. It covers major milestones like the DARPA Grand Challenges, Google's self-driving car project, and NHTSA's levels of vehicle automation. Key challenges discussed include weather, testing and certification, transferring control between autonomous and manual modes, legal issues, hacking vulnerabilities, and privacy concerns. The document also examines technologies like sensors, localization, mapping, and control systems that enable autonomous functionality.
Practical Challenges to Deploying Highly Automated VehiclesAlison Chaiken
Presentation by Dr. Steven Shladover of UC Berkeley on Jan 24, 2019 as part of the Silicon Valley Automotive Open Source meetup group speak series
https://www.meetup.com/Silicon-Valley-Automotive-Open-Source/events/256100027/
Roadmap to autonomous driving, AV levels, its impact
on powertrains of the future
- Autonomus driving vehicle
- Powertrain requirements for autonomous vehicles
- Scaleable functionality for ACE (Autonomous, Connected and Electric)
Creating a Safer, Smarter ride - NFV for AutomotiveTrinath Somanchi
While NFV and SDN have showcases their potential in cloud Data centers, experts are looking to bring its expertise for creating a secured safer smart ride through the integration of vehicle-vehicle and vehicle-infrastructure communications which create smart locales. Today we have understood the requirements and networking involved to realize centralized and distributed clouds to support customer premise services and IIoT. But we have a partial gain from these technologies. To unlock the real potential of Edge networks, the Automotive industry is moving towards integrating ADAS and intelligent roadside infrastructure with Cloud Edge and NFV technologies to create a Safer and Smarter Ride.
This presentation showcases on NFV for Automotive to create safer and smart ride.
Study HERE SBD - How autonomous vehicles could relieve or worsen traffic cong...Ludovic Privat
The utopian vision of autonomous cars and a world where traffic issues are null is a generation away, according to this whitepaper from HERE and SBD research, which also asserts that advancement in autonomous vehicles will be gridlocked without the cooperation of all stakeholders.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
2016- A Year in Review of the Development of Autonomous vehiclesJen Rossi
A lot has changed over the last 12 months in self-driving cars and driver assist technologies. Accidents, policies, and new developments in technology may make get these vehicles on roads near you sooner than previously estimated.
Presentation for ASCE's July Branch Luncheon on Autonomous Vehicles by Ryan Snyder, Transportation Planning Expert, of transpogroup. Existing technology, timeline, technological possibilities, and potential benefits.
Practical Challenges to Deploying Highly Automated VehiclesAlison Chaiken
Presentation by Dr. Steven Shladover of UC Berkeley on Jan 24, 2019 as part of the Silicon Valley Automotive Open Source meetup group speak series
https://www.meetup.com/Silicon-Valley-Automotive-Open-Source/events/256100027/
Roadmap to autonomous driving, AV levels, its impact
on powertrains of the future
- Autonomus driving vehicle
- Powertrain requirements for autonomous vehicles
- Scaleable functionality for ACE (Autonomous, Connected and Electric)
Creating a Safer, Smarter ride - NFV for AutomotiveTrinath Somanchi
While NFV and SDN have showcases their potential in cloud Data centers, experts are looking to bring its expertise for creating a secured safer smart ride through the integration of vehicle-vehicle and vehicle-infrastructure communications which create smart locales. Today we have understood the requirements and networking involved to realize centralized and distributed clouds to support customer premise services and IIoT. But we have a partial gain from these technologies. To unlock the real potential of Edge networks, the Automotive industry is moving towards integrating ADAS and intelligent roadside infrastructure with Cloud Edge and NFV technologies to create a Safer and Smarter Ride.
This presentation showcases on NFV for Automotive to create safer and smart ride.
Study HERE SBD - How autonomous vehicles could relieve or worsen traffic cong...Ludovic Privat
The utopian vision of autonomous cars and a world where traffic issues are null is a generation away, according to this whitepaper from HERE and SBD research, which also asserts that advancement in autonomous vehicles will be gridlocked without the cooperation of all stakeholders.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
2016- A Year in Review of the Development of Autonomous vehiclesJen Rossi
A lot has changed over the last 12 months in self-driving cars and driver assist technologies. Accidents, policies, and new developments in technology may make get these vehicles on roads near you sooner than previously estimated.
Presentation for ASCE's July Branch Luncheon on Autonomous Vehicles by Ryan Snyder, Transportation Planning Expert, of transpogroup. Existing technology, timeline, technological possibilities, and potential benefits.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Connected & Autonomous vehicles: cybersecurity on a grand scale v1Bill Harpley
A presentation which was given at 'How the Internet of Things is Changing Cyber Security - an event organised by Optimise Hub (Portsmouth University) on January 26th 2017 at Havant.
- This talk describes the issues relating to cybersecurity of Connected Cars and Autonomous Vehicles. It begins with an introduction to technology and standards. It then looks at the key security challenges and asks how prepared we are to deal with the future risks.
- It is a perfect case study in the challenge of achieving cybersecurity on a massive scale.
Autonomous Vehicles: the Intersection of Robotics and Artificial IntelligenceWiley Jones
Autonomous Vehicle Webinar. Crash course in AVs: high-level overview, technology deep-dives, and trends. Follow me on Twitter at https://twitter.com/wileycwj.
Link to YouTube Video: https://www.youtube.com/watch?v=CruCp6vqPQs
Google Slides: https://docs.google.com/presentation/d/1-ZWAXEH-5Xu7_zts-rGhNwan14VH841llZwrHGT_9dQ/edit?usp=sharing
Designing Roads for AVs (autonomous vehicles)Jeffrey Funk
Autonomous vehicles (AVs) represent one of the most promising new technologies for smart cities and for humans in general. The problem is that cities will not realize the full benefits from AVs until roads are designed for them. Until this occurs, their main benefit will be the elimination of the driver and steering wheel, which will reduce the cost and increase the capacity of taxis; but even this impact will not occur for many years because of safety concerns. Thus, in the near term, the main benefit of AVs will be free time for the driver to do emails and other smart phone related tasks.
A better solution is to design roads for AVs or in other words, to constrain the environment for AVs in order to simplify the engineering problem for them. For example, designing roads so that all vehicles can be controlled by a combination of wireless communication, RFID tags, and magnets will reduce the cost of AVs and increase their benefits. Only AVs would be allowed on these roads, they are checked for autonomous capability at the entrance, and control is returned to the driver when an AV leaves the road. Existing cars can be retrofitted with wireless modules that enable cars to be controlled by a central system, thus enabling cars to travel closely together. The magnets and RFID tags create an invisible railway that keeps the AVs in their lanes while wireless communication is used for lane changing and exiting a highway (Chang et al, 2014; Le Quesne et al, 2014). These wireless modules, magnets and RFID tags will be much cheaper than the expensive LIDAR that is needed when AVs are mixed with conventional vehicles on a road.
The benefits from dedicating roads to AVs include higher vehicle densities, less congestion, faster travel times, and higher fuel efficiencies. These seemingly contradicting goals can be achieved because AVs can have shorter inter-vehicle distances even at high speeds thus enabling higher densities, lower congestion, and lower travel times. The less congestion and thus fewer instances of slow moving or stopped vehicles enable the vehicles to travel at those speeds at which higher fuel efficiencies can be achieved (Funk, 2015). In combination with new forms of multiple passenger ride sharing, the higher fuel efficiencies will also reduce carbon emissions and thus help fight climate change.
The challenge is to develop a robust system that can be easily deployed in various cities and that will be compatible with vehicles containing the proper subsystems. Such a system can be developed in much the same way that new cellular systems are developed and tested. Suppliers of mobile phone infrastructure, automobiles, sensors, LIDAR, 3D vision systems, and other components must work with city governments and universities to develop and test a robust architecture followed by the development of a detail design.
MEMS and Sensors in Automotive Applications on the Road to Autonomous Vehicle...MicroVision
MicroVision’s Director of Technical Marketing and Applications Development, Jari Honkanen was invited to speak at MSIG’s 12th annual MEMS & Sensors Executive Congress 2016 on MEMS and sensors as key enabling technologies in the automotive market. Honkanen also discussed the benefits of applying MicroVision’s MEMS scanned virtual image HUD and LIDAR sensor concept for ADAS applications.
Just what is that thing on top of the Google Car? What does adaptive cruise control with lane assist mean? When are these things going to be ready? The answer to these questions and more in a technology overview that unravels just how these vehicles are going to work. Presented at the 2017 D-STOP Symposium.
Smart infrastructure for autonomous vehicles Jeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how autonomous vehicles are becoming economic feasible. They are becoming economically feasible because the cost of lasers, ICs, MEMS, and other electronic components are falling at 25 to 40% per year. If the cost of autonomous vehicles fall 25% a year, the cost of the electronics associated with autonomous vehicles will fall 90% in 10 years. Dedicating roads to autonomous vehicles is necessary to achieve the most benefits from autonomous vehicles. While using autonomous vehicles in combination with conventional vehicles can free drivers for other activities, dedicating roads to autonomous vehicles can dramatically reduce congestion, increase speeds, and thus increase the number of cars per area of the road. They can also reduce accidents, insurance, and the number of traffic police. These slide discuss the use of wireless technologies for the control and coordination of autonomous vehicles. Improvements in bandwidth, speed, and latency (delays) along with improvements in computer processing are occurring and these improvements are making dedicated roads for autonomous vehicles economically feasible.
Autonomous Vehicles: Technologies, Economics, and OpportunitiesJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of autonomous vehicles are improving rapidly. LIDAR, other sensors, ICs, and wireless are experiencing rapid improvements that are enabling the overall cost of AVs to fall. For example, the latency of wireless systems is improving rapidly thus enabling vehicles to be controlled with wireless systems. This is also creating many new opportunities in the vehicle industry in the Internet of Things, data analytics, and logistics. The slides include a detailed discussion of AVs in Singapore, a likely early adopter.
[Updated 2/27/17] Brian Solis, principal analyst of Altimeter, a Prophet Company, has tracked the autonomous industry for two years and has assembled the most comprehensive report on “The State of The Autonomous Driving.” The updated report features the latest developments among companies driving the future, including 76 automakers, startups and universities. The report also includes an infographic that organizes all of the companies by technology focus and its open to third party creative commons use. This report will be updated regularly, if you would like to contribute updates please contact Brian via email at brian@altimetergroup.com
A presentation given at the 2016 Traffic Safety Conference during Closing Session: Technologies Enhancing Transportation Safety. By Paul Avery, Principal Engineer, Cooperative Systems Section, Southwest Research Institute
An autonomous car is a vehicle capable of sensing its environment and operating without human involvement. A human passenger is not required to take control of the vehicle at any time, nor is a human passenger required to be present in the vehicle at all.
Presentation from NORTHMOST - a new biannual series of meetings on the topic of mathematical modelling in transport.
Hosted at its.leeds.ac.uk, NORTHMOST 01 focussed on academic research, to encourage networking and collaboration between academics interested in the methodological development of mathematical modelling applied to transport.
The focus of the meetings will alternate; NORTHMOST 02 - planned for Spring 2017 - will be led by practitioners who are modelling experts. Practitioners will give presentations, with academic researchers in the audience. In addition to giving a forum for expert practitioners to meet and share best practice, a key aim of the series is to close the gap between research and practice, establishing a feedback loop to communicate the needs of practitioners to those working in university research.
Connected & Autonomous vehicles: cybersecurity on a grand scale v1Bill Harpley
A presentation which was given at 'How the Internet of Things is Changing Cyber Security - an event organised by Optimise Hub (Portsmouth University) on January 26th 2017 at Havant.
- This talk describes the issues relating to cybersecurity of Connected Cars and Autonomous Vehicles. It begins with an introduction to technology and standards. It then looks at the key security challenges and asks how prepared we are to deal with the future risks.
- It is a perfect case study in the challenge of achieving cybersecurity on a massive scale.
Autonomous Vehicles: the Intersection of Robotics and Artificial IntelligenceWiley Jones
Autonomous Vehicle Webinar. Crash course in AVs: high-level overview, technology deep-dives, and trends. Follow me on Twitter at https://twitter.com/wileycwj.
Link to YouTube Video: https://www.youtube.com/watch?v=CruCp6vqPQs
Google Slides: https://docs.google.com/presentation/d/1-ZWAXEH-5Xu7_zts-rGhNwan14VH841llZwrHGT_9dQ/edit?usp=sharing
Designing Roads for AVs (autonomous vehicles)Jeffrey Funk
Autonomous vehicles (AVs) represent one of the most promising new technologies for smart cities and for humans in general. The problem is that cities will not realize the full benefits from AVs until roads are designed for them. Until this occurs, their main benefit will be the elimination of the driver and steering wheel, which will reduce the cost and increase the capacity of taxis; but even this impact will not occur for many years because of safety concerns. Thus, in the near term, the main benefit of AVs will be free time for the driver to do emails and other smart phone related tasks.
A better solution is to design roads for AVs or in other words, to constrain the environment for AVs in order to simplify the engineering problem for them. For example, designing roads so that all vehicles can be controlled by a combination of wireless communication, RFID tags, and magnets will reduce the cost of AVs and increase their benefits. Only AVs would be allowed on these roads, they are checked for autonomous capability at the entrance, and control is returned to the driver when an AV leaves the road. Existing cars can be retrofitted with wireless modules that enable cars to be controlled by a central system, thus enabling cars to travel closely together. The magnets and RFID tags create an invisible railway that keeps the AVs in their lanes while wireless communication is used for lane changing and exiting a highway (Chang et al, 2014; Le Quesne et al, 2014). These wireless modules, magnets and RFID tags will be much cheaper than the expensive LIDAR that is needed when AVs are mixed with conventional vehicles on a road.
The benefits from dedicating roads to AVs include higher vehicle densities, less congestion, faster travel times, and higher fuel efficiencies. These seemingly contradicting goals can be achieved because AVs can have shorter inter-vehicle distances even at high speeds thus enabling higher densities, lower congestion, and lower travel times. The less congestion and thus fewer instances of slow moving or stopped vehicles enable the vehicles to travel at those speeds at which higher fuel efficiencies can be achieved (Funk, 2015). In combination with new forms of multiple passenger ride sharing, the higher fuel efficiencies will also reduce carbon emissions and thus help fight climate change.
The challenge is to develop a robust system that can be easily deployed in various cities and that will be compatible with vehicles containing the proper subsystems. Such a system can be developed in much the same way that new cellular systems are developed and tested. Suppliers of mobile phone infrastructure, automobiles, sensors, LIDAR, 3D vision systems, and other components must work with city governments and universities to develop and test a robust architecture followed by the development of a detail design.
MEMS and Sensors in Automotive Applications on the Road to Autonomous Vehicle...MicroVision
MicroVision’s Director of Technical Marketing and Applications Development, Jari Honkanen was invited to speak at MSIG’s 12th annual MEMS & Sensors Executive Congress 2016 on MEMS and sensors as key enabling technologies in the automotive market. Honkanen also discussed the benefits of applying MicroVision’s MEMS scanned virtual image HUD and LIDAR sensor concept for ADAS applications.
Just what is that thing on top of the Google Car? What does adaptive cruise control with lane assist mean? When are these things going to be ready? The answer to these questions and more in a technology overview that unravels just how these vehicles are going to work. Presented at the 2017 D-STOP Symposium.
Smart infrastructure for autonomous vehicles Jeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how autonomous vehicles are becoming economic feasible. They are becoming economically feasible because the cost of lasers, ICs, MEMS, and other electronic components are falling at 25 to 40% per year. If the cost of autonomous vehicles fall 25% a year, the cost of the electronics associated with autonomous vehicles will fall 90% in 10 years. Dedicating roads to autonomous vehicles is necessary to achieve the most benefits from autonomous vehicles. While using autonomous vehicles in combination with conventional vehicles can free drivers for other activities, dedicating roads to autonomous vehicles can dramatically reduce congestion, increase speeds, and thus increase the number of cars per area of the road. They can also reduce accidents, insurance, and the number of traffic police. These slide discuss the use of wireless technologies for the control and coordination of autonomous vehicles. Improvements in bandwidth, speed, and latency (delays) along with improvements in computer processing are occurring and these improvements are making dedicated roads for autonomous vehicles economically feasible.
Autonomous Vehicles: Technologies, Economics, and OpportunitiesJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of autonomous vehicles are improving rapidly. LIDAR, other sensors, ICs, and wireless are experiencing rapid improvements that are enabling the overall cost of AVs to fall. For example, the latency of wireless systems is improving rapidly thus enabling vehicles to be controlled with wireless systems. This is also creating many new opportunities in the vehicle industry in the Internet of Things, data analytics, and logistics. The slides include a detailed discussion of AVs in Singapore, a likely early adopter.
[Updated 2/27/17] Brian Solis, principal analyst of Altimeter, a Prophet Company, has tracked the autonomous industry for two years and has assembled the most comprehensive report on “The State of The Autonomous Driving.” The updated report features the latest developments among companies driving the future, including 76 automakers, startups and universities. The report also includes an infographic that organizes all of the companies by technology focus and its open to third party creative commons use. This report will be updated regularly, if you would like to contribute updates please contact Brian via email at brian@altimetergroup.com
A presentation given at the 2016 Traffic Safety Conference during Closing Session: Technologies Enhancing Transportation Safety. By Paul Avery, Principal Engineer, Cooperative Systems Section, Southwest Research Institute
An autonomous car is a vehicle capable of sensing its environment and operating without human involvement. A human passenger is not required to take control of the vehicle at any time, nor is a human passenger required to be present in the vehicle at all.
The main goal of this presentation is how to do research in particular field of engineering. For an example this presentation describes design of Vehicle tracking and monitoring system. So how to do research in particular field by referring standard IEEE papers is described in this presentation.
Automatic control systems related to safety in autonomous carsMRUGENDRASHILVANT
Various technologies used in the Safety of the Autonomous vehicles are discussed. These techniques are explained with the help of various simple examples.
types of modern technologies used in transportation, uses of modern technology in transportation ,Introduction
Why ITS?
Application of ITS
Implementation of ITS
Benefits of ITS
Demerits of ITS
Information on Florida Dept of Transportation's plan for implementing infrastructure and support for connected and automated vehicles on Florida's roadways. Presented by Sec. Paul Steinman, FDOT
Autonomous Vehicles are Coming Sooner Than You Think. Are You Ready for the S...Sean M. Lyden
As a journalist, who has covered the fleet industry for over a decade, I spend a lot of time talking with smart people about the intersection of technology and transportation—specifically, the rise of vehicle automation and how that might impact our world in fleet safety. And that’s what we focus on in this talk, as I share with you what I’ve learned from my conversations and research.
Dr. Luis Vazquez, Regents Professor and Associate Vice President for Research at New Mexico State University, covers grad student funding sources, budgeting, and strategies for getting more funding.
Ms. Amy Maki, Founder and President of A.O. Maki & Associates, L.L.C., covers both verbal and written communication, common communication pitfalls, and non-verbal communication.
Mr. Juhann Waller, Adjunct Assistant Professor at North Carolina Agricultural and Technical State University, covers reasons why to pursue a graduate degree, why and how to apply, and the benefits of attending.
Dr. Ibibia Dabipi, Professor & Assistant Director in the Department of Engineering and Aviation Science at the University of Maryland Eastern Shore, covers how to best match your graduate school interests with a program, and how to prepare for it.
Dr. Deo Chimba, a Professor of Civil and Environmental Engineering at Tennessee State University gave a presentation on the experience of graduate school students. He covers graduate versus undergraduate, Masters versus PhD, and what challenges a student may come across.
Dr. Edgar Blevins, Professor of Mechanical Engineering at Southern University in Baton Rouge, gave a presentation on Choosing Faculty Mentors and your Communities to foster academic success.
Dr. Luis Vázquez, Regents Professor at New Mexico State University, presents on "Understanding Funding and Budgeting Finances". For more information, please visit https://matc.unl.edu.
Ms. Amy Maki, Founder and President of A. O. Maki & Associates, L.L.C., discusses appropriate communication skills. For more information, please visit https://matc.unl.edu.
Dr. Edgar Blevins, Professor at Southern University and A&M College, presents on "Choosing Faculty Mentors & Finding 'Mentoring Communities' for Academic Success. For more information, please visit https://matc.unl.edu.
Dr. Deo Chimba, Interim Department Chair and Associate Professor at Tennessee State University, presents on "Graduate School Student Experiences". For more information, please visit https://matc.unl.edu.
Dr. Ibibia Dabipi, Professor at the University of Maryland-Eastern Shore, presents on "Choosing a Graduate Program: Making a Short List". For more information, please visit https://matc.unl.edu
Mr. Juhann Waller, Adjunct Assistant Professor at North Carolina Agricultural and Technical State University, presents on "Why Graduate School?". For more information, please visit https://matc.unl.edu
In this talk, Dr. Haitao Li will introduce the food supply chain configuration problem (FSCCP) to optimize the tactical-level mode selection and inventory positioning decisions for a general multi-echelon food supply chain. Computational studies show that the optimal FSCCP solutions significantly outperform two heuristic solutions that focus solely on cost or quality. Managerial insights are obtained on the impacts of key input parameters on the optimal configuration and performance metrics.
Each summer, MATC interns work with transportation professionals to provide themselves with experiences that will assist them when they enter the field of transportation research. Madison Vater spent this summer working with Alfred Benesch & Company. This presentation summarizes her experience during her internship
Each summer, MATC interns work with transportation professionals to provide themselves with experiences that will assist them when they enter the field of transportation research. Ryan Weyers spent this summer working with Lincoln Transportation and Utilities. This presentation summarizes his experience during his internship.
Each summer, MATC interns work with transportation professionals to provide themselves with experiences that will assist them when they enter the field of transportation research. Abdulla Al Ajmi spent this summer working with Alfred Benesch & Company. This presentation summarizes his experience during his internship.
Each summer, MATC interns work with transportation professionals to provide themselves with experiences that will assist them when they enter the field of transportation research. Jose Aguilar spent this summer working with JEO Consulting Group. This presentation summarizes his experience during his internship.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
2. Acknowledgements
• Mid-America Transportation Center
– 1 year project to survey literature and report on state
of the art in autonomous vehicles
– Co-PI: Prof. Geb Thomas
– Undergraduate students
• Kory Nelson
• Michael McCrary
• Mathew Powell
• Nicholas Schlarmann
– http://matc.unl.edu/research/research_projects.php?researchID=405
– https://www.zotero.org/groups/autonomous_vehicles/items
3.
4. Why Autonomous Vehicles?
• Safety
– 32,000 people killed each year, 93% due to driver error,
billions in property damage
– Autonomous vision is ‘crashless’
• Mobility
– Safely increase traffic density (x2)-(x3)
– Greater access for elderly, disabled, etc.
• Sustainability
– Fuel savings due to platooning (20%), eliminating traffic
jams, reducing trip times, reducing ownership, reducing
parking spaces
7. An early experiment on automatic highways was conducted by RCA and the
state of Nebraska on a 400 foot strip of public highway just outside Lincoln
(“Electronic Highway of the Future - Science Digest (Apr, 1958)” 2013)
A G
P M
8. CMU NAVLAB
• RALPH, ALVINN, YARF
• In 1995, RALPH drove NAVLAB 5 over 3000
miles from Pittsburgh to Washington, DC.
– Steered autonomously 96% of the way from
Pittsburgh, PA to Washington DC
Pomerleau, 1995, RALPH: Rapidly Adapting Lateral Position Handler,
IEEE Symposium on Intelligent Vehicles, September, 1995
A G
P M
9. National Automated Highway System
A demonstration of the automated highway
system in San Diego (1997). University of
California PATH Program
1994-1997
A G
P M
10. Intelligent Vehicle Initiative
• Prevent driver distraction
• Facilitate accelerated
deployment of crash
avoidance systems
– Normal conditions
• IVIS
– Degraded condition
• Visibility, drowsiness
– Imminent crash
• Rear end, lane depart,
intersection, ESC
1997-2005
Multiple ADAS system. Image from IVBSS
materials, courtesy of UMTRI
Forward Crash
Warning (FCW)
Lateral Drift
Warning (LDW)
Lane-change/Merge
(LCM)
Curve
speed
Warning
(CSW)
Radar
Vision
A G
P M
11. DARPA Grand Challenge
Grand Challenge:
2004 – no winner
2005 – Stanley (Stanford)
Urban Grand Challenge
2007 – Boss (CMU) A G
P M
12. Connected Vehicles
• DSRC (5.9 GHz)
– Allocated in 2004
• Goals
– Safety
• Forward collision, intersection
movement assist, lane change,
blind spot, do not pass, control
loss warning, emergency brake
light warning
– Mobility
– Sustainability
• AERIS
2004-present
VII -> IntelliDrive -> Connected Vehicles
Regulatory decision from NHTSA
recently announced. V2V will
eventually be required in new cars. A G
P M
14. NHTSA Automation Program
• Licensing
• Testing
• Regulations
• Cybersecurity
• Currently recommends
states only allow testing
2012-present
Level Example
Transition Time to Manual
(Heuristic)
0 – No Automation Warning only --
1 – Function-specific Automation ADAS < 1 second
2 – Combined Function Automation Super cruise < 1 minute
3 – Limited Self-Driving Automation Google car < 10 minutes
4 – Full Self-Driving Automation PRT --
NHTSA Levels of Automation
A G
P M
15. Future Societal Impacts
Light Cars: A Virtuous Cycle
Reduce
mass
Downsize
engine
Drivetrain
brakes
tires
Smaller
fuel
supply
Autonomous Car Sharing
MIT’s Stackable City Car
17. Advanced Driver Assistance Systems
ACC Pre-Crash LDWS
Sensor Year Sensor Year Sensor Year
Audi Radar/Video 2011 Camera 2007
BMW Camera 2007
Chrysler Laser 2006
Ford Radar 2009 Radar 2009 Camera 2010
GM Radar 2004 Camera 2008
Honda Radar 2003 Camera 2003
Kia Camera 2010
Jaguar Radar 1999
Lexus Laser 2001
Mercedes Radar 2001 Radar 2002 Camera 2009
Nissan Camera 2001
Saab Radar 2002
Toyota Laser 1998 Radar 2003 Camera 2002
Volkswagen Radar/Video 2011
Volvo Radar 2002 Radar/Video 2007
A 2011 review of commercial ADAS systems compares
manufacturers, model year, and sensor type for three
types of systems (Shaout, Colella, and Awad 2011)
18. ADAS Automation
Abb. System Abb. System
ESC Electronic Stability Control DD Drowsiness Detection
FCW Forward Collision Warning AL Adaptive Lighting
ACC Adaptive Cruise Control PM Pedal Misapplication
LDW Lane Departure Warning TSR Traffic Sign Recognition
LKA Lane Keeping Assist TJA Traffic Jam Assistant
LCA Lane Change Assist CZA Construction Zone Assist
RCTA Rear Cross Traffic Alert PA Parking Assistant
BSD Blind Spot Detection PP Parking Pilot
EBA Emergency Brake Assist HC Highway Chauffeur
AEBS Advanced Emergency Braking System HP Highway Pilot
ESA Emergency Steer Assist
20. Personal Rapid Transit (PRT)
• Fully autonomous
• No operator, no
controls
• Low speed
• May use a guideway
• Morgantown PRT
entered operation in
1975 in West Virginia
21. PRTs (cont.)
• Morgantown, WV
• Masdar City (on hold)
• London Heathrow
Airport
• City Mobil 2
• Suncheon, South Korea
• Punjab, India
• Early criticisms of PRTs
on guideways concern
the scalability of the
system
• But new concepts are
leaving guideways
behind, alleviating
some of these concerns
27. Digital Maps & Mapping
• Digital maps negate the need to dynamically
map the environment
• Simultaneous Localization & Mapping (SLAM)
used to create environments in unmapped
areas
• Many modern path planning algorithms are
based on A* algorithm
• Must find the proper correspondence
between the digital map and other sensor
inputs
30. Testing & Certification
Logic
Sensor Failures
Kalman Filters
False Positives
Histogram Filters
Particle Filters
Data Fusion
More data (images & video)
More test cases
Path Planning
Decision Making
Digital Maps
All speeds
Parking Lots
Many more tests
31. Transfer of Control
Transfer of Control to a Platoon
Level Example Transition Time to Manual
0 – No Automation Warning only --
1 – Function-specific Automation ADAS < 1 second
2 – Combined Function Automation Super cruise < 1 minute
3 – Limited Self-Driving Automation Google car < 10 minutes
4 – Full Self-Driving Automation PRT --
Example:
32. Legality
• “Automated vehicles are probably legal in the
United States” – Bryant Walker Smith
• 1949 Geneva Convention on Road Traffic
requires that the driver of a vehicle shall be at
all times able to control it
• Who is liable: the driver or the manufacturer?
• California, Nevada, and Florida have paved the
way with state laws for automated vehicles
33. Hacking Entry Points
Entry point Weakness
Telematics
The benefit of such systems is that the car can be remotely disabled if stolen, or
unlocked if the keys are inside. The weakness is that a hacker could potentially
do the same.
MP3 malware
Just like software apps, MP3 files can also carry malware, especially if
downloaded from unauthorized sites. These files can introduce the malware
into a vehicles network if not walled off from safety-critical systems.
Infotainment apps
Car apps are like smartphone apps…they can carry viruses and malware. If the
apps are not carefully screened, or if the car’s infotainment software is not
securely walled off from other systems, then an attack can start with a simple
app update.
Bluetooth
The system that connects your smartphone to your car can be used as another
entry point into the in-vehicle network.
OBD-II
This port provides direct access to the CAN bus, and potentially every system of
the car. If the CAN bus traffic is not encrypted, it is an obvious entry point to
control a vehicle.
Door Locks
Locks are interlinked with other vehicle data, such as speed and acceleration. If
the network allows two-way communication, then a hacker could control the
vehicle through the power locks.
Tire Pressure
Monitoring System
Wireless TPMS systems could be hacked from adjacent vehicles, identify and
track a vehicle through its unique sensor ID, and corrupt the sensor readings.
Key Fob
It’s possible to extend the range of the key fob by an additional 30’ so that it
could unlock a car door before the owner is close enough to prevent an
unwanted entry.
34. Vehicle Networks to Secure
Network Weakness
LIN Vulnerable at a single point of attack. Can put LIN slaves to sleep or make
network inoperable
CAN Can jam the network with bogus high priority messages or disconnect controllers
with bogus error messages
FlexRay Can send bogus error messages and sleep commands to disconnect or deactivate
controllers
MOST Vulnerable to jamming attacks
Bluetooth Wireless networks are generally much more vulnerable to attack than wired
networks. Messages can be intercepted and modified, even introducing worms
and viruses
35. Privacy
• Electronic Data Recorders (Black Box)
• Identified network traffic
• De-identified data
– The myth of anonymity
• “Google’s self-driving car gathers almost 1 Gb
per second” – Bill Gross, Idealab
36. Privacy By Design
• Proactive not reactive
• Privacy by default
• Privacy embedded into the design
• Full functionality (positive sum, not zero sum)
• End-to-end security (full lifecycle protection)
• Visibility and transparency
• Respect for user privacy
38. Case Study: Autonomous Intersections
and Time to Collision Perception
• Time to Collision (TTC)
– range / range rate
• Autonomous Intersection
Management
– U Texas at Austin
– Reservation system
Van der Horst, 1991
Autonomous Intersection (Top down)
Autonomous Intersection (Driver's View)
39. The Trouble With Levels
The evolution of vehicle automation and associated challenges
• Levels are not a roadmap
• Levels are not design guidelines
• Levels discourage potentially helpful ideas like
adaptive automation strategies
40. 5 – 30 years until autonomous vehicles hit the road
Editor's Notes
Autonomous vehicles have a lot of hype right now.
Even if you don’t see many on the roads, you almost can’t avoid seeing news stories and articles about them.
Vehicle Automation has been coming a long time. We can identify cycles of innovation that start with basic research and evolve into design prototypes and finally commercial products. It is a spiral process that seems to repeat over and over, but advances the state of the art each time around.
Academic research
Government non-military initiatives
Private R&D
Military research
There have been 11 versions of NAVLAB.
NAVLAB is a platform upon which projects, such as RALPH and ALVINN build upon
IVI changed the focus onto specific safety systems; and spurred the development of many of the ADAS systems in production today
VII = Vehicle Infrastructure Integration
NHTSA announced in February its intention to take steps to enable V2V technology for light vehicles at 10Hz. They expect to begin requiring V2V in cars at some date in the future.
What the future holds, who can tell?
Radical changes in an environment of autonomous vehicles include very light vehicles and car sharing.
What sensors do for you is tell you where you are in the world (that’s called localization), and where other objects are in the world (object detection).
The methods that made many advancements in automation possible were probabilistic in nature.
Snow, heavy rain, fog.
Obscured lines, snow buildup on cars cover the sensors.
The ‘cruise control problem’ is more critical in high-level automation systems
Testing becomes exponentially more complex as more sensors and actuators are added to the vehicle.
One of the first problems that NHTSA has turned its attention to is a narrow group of human factors issues including transfer of control in L2 systems.
The transition times are a heuristic that indicate how vigilant the driver must be.
Bryant Walker Smith has written what I think so far is the most comprehensive summary of the legality of automated vehicles; and his definitive conclusion on the matter is “automated vehicles are probably legal in the United States”
Positive sum means ‘win-win’, not ‘win-lose’
This example is not to pick on autonomous intersections, but it represents the tip of a big iceberg of unconsidered issues and unintended consequences.