Autonomous Connected Vehicle Certificate Program Capstone Project Reports
Connected and Autonomous Vehicle Systems R&D Overview
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Cooperative Systems R&D Southwest Research Institute IVS.SwRI.ORG Connected and Autonomous Vehicle Systems R&D Overview Paul A. Avery Principal Engineer – Cooperative Systems Southwest Research Institute +1.210.522.6732 [email protected]
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Transcript of Connected and Autonomous Vehicle Systems R&D Overview
Cooperative Systems R&DSouthwest Research Institute
IVS.SwRI.ORG
Connected and Autonomous
Vehicle Systems R&D Overview
Paul A. AveryPrincipal Engineer – Cooperative Systems
Southwest Research [email protected]
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Let’s Talk About…
Connected Vehicles
Automated Vehicles
Cooperative Systems
Slate.com
Connected Vehicles
Illustrationsource.com
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En.wikibooks.org
Connected Vehicles Communication
Illustrationsource.com
However! Special Applications Like Platooning
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What is A Connected Vehicle?
Concentric Yellow Circles?
Lines and Dots?
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zzzzzzzz……..
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V2I – Overheight Detection,Notification, and Autonomous Disable
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V2V – Blind Spot Warning
V2I – Railroad Grade Crossing Notification
Environmental Efforts:Integration into a Traffic Management System
• Florida’s SunGuide enhanced to include environmental data• Average emissions• Total emissions
calculated from traffic volume
• Number of samples• Data aggregated by
roadway segments• Only requires a sample of
emissions data to calculate overall emissions impact
Ooops….
Vehicles are More Complex…(and Connected Vehicle is only part of it)
1965: No computers No software
2015: Up to ~200 computers
• Consider TPMS are 4 computers and wireless… >100 million lines of code LTE (or similar) enabled vehicles are becoming commonplace
http://www.informationisbeautiful.net
Challenges with Connected Vehicles
Recent attacks on Connected Vehicles: Jeep Cherokee: “Hackers Remotely
Kill a Jeep on the Highway—With Me in It”
GM OnStar: “This Gadget Hacks GM Cars to Locate, Unlock, and Start Them”
Tesla Model S: “Researchers Hacked a Model S, But Tesla’s Already Released a Patch”
Impact of these attacks:– Erodes public trust– Raises awareness – improves security
practices– Not a setback for DSRC
Image Source: Wired Magazine
Automated Vehicles
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http://william-flew.com/autocars/problems-not.html
Future of Traffic Enforcement?
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Source: All over the internet….
License and Source Code Please…
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!Google_Car
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Interacting with Humans….
Displays a cross walk for the human
Lights “move” to indicate direction in which human should proceed
Fastcodesign.com
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Maybe Releasing Autopilot Into the Wild Wasn’t A Great Idea?
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SwRI’s Automated Vehicle Technology Development
Off-RoadOn-Road
• 8 Fully-Automated Different Platforms
• On- and Off-Road Navigation
• Single- and Multi-Modal Low Cost Sensor Configurations
• Not dependent on GPS• Safe Operation near
Vulnerable Road Users• Platform, hardware, and
sensor agnostic.
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But How Do We Avoid This?
Connected-Automated Vehicles
Worldreviews.com
(But Only If The System Is Cooperative)
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Its.dot.gov
Vehicle Platooning
• Rules must be established for joining a team: Max/min speed, following distance, vehicle performance/efficiency characteristics, etc
• Special message must be used, including a “Team ID” to enable cooperation among specific vehicles
Cooperative Truck Teaming with Sensor Sharing
V2V Only SimulatedSimulated
Sensor Horizons
Commercial trucks form a cooperative team Share data regarding other vehicles
Enables enhanced situational awareness for all vehicles
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Intersections Too
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Developed under SwRI IR&D programMobile Autonomous Robotics Technology Initiative (MARTI)
Cooperative vehicle behaviors for sharing sensor data in a dynamic traffic environment
Utilizes the sensing capabilities of other vehicles as extension of perception system
Use-case: Pedestrian safety
Communicates V2V regarding position, speed, and heading of pedestrians at intersections
Receiving vehicle determines appropriate action
Jointly developed by SwRI (US) and INRIA (France)
Patent 7,994,902 awarded August, 2011
Jointly demonstrated in 2008 Versailles, France New York City, NY (ITS World Congress)
Cooperative Sensor Sharing for Unmanned Systems
SwRI’s MARTI in Manhattan 2008Cooperative Sensor Sharing
SwRI/INRIA in Versailles France 2008
Cooperative Sensor Sharing
Cooperative Vehicle Lane-level Model Generation Using DSRC
Vehicles broadcast message on their location (Basic Safety Message)
Roadside device collects messages for processing
Using learning algorithms, the noisy data is reduced to lane-level GPS coordinates
Data is reduced to minimum required set, and then re-broadcast to vehicles
If obstruction is removed, vehicles will begin traversing the area again, and a new map will be processed and re-broadcast
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Conclusions?
Connected vehicles are able to send and receive information about themselves, other vehicles, and their environment.
Automated vehicles are able to sense and respond to their environment within the constraints of their component technologies and programming.
Neither technology by itself provides a comprehensive solution to our traffic challenges.
The technologies combined have the potential to significantly enhance and improve many aspects of society.
Cooperative Systems R&DSouthwest Research Institute
Thank You
