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Car to car communication of autonomous driving vehicles in dangerous situationsN A M E: FA B I A N KA LEU NMO D U LE: I N T EL L IG ENT RO B OT I C SMAT RI C UL AT ION N R. : 7 32 4 727
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Content1. Introduction to autonomous driving vehicles
2. How car to car communication of autonomous driving vehicles works
3. Decision making in dangerous situations
4. Ethics
Intelligent Robotics; Fabian Kaleun, University Hamburg 2
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1. Introduction to autonomous driving vehicles
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1. Introduction to autonomous driving vehicles
Intelligent Robotics; Fabian Kaleun, University Hamburg 4
Source: https://www.youtube.com/watch?v=eU5jezjdXxA&list=LL6l3dDxfAkUqal1kytuRgzQ&index=5&t=0s
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1.1 Necessary definitions• Autonomous DrivingSelf driving of a vehicle to a specific target in real traffic without the intervention
of a human driver. (Daimler)
• Artificial IntelligenceSimulation of human intelligence processes by machines, especially computer
systems.
• Intelligent BehaviorA person's aggregate capacity to act purposefully, think rationally, and deal
effectively with the environment
Intelligent Robotics; Fabian Kaleun, University Hamburg 5
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1.2 Basic functionality: The 5 Levels of autonomous driving
• Driver Assistance
Level 1Level 1
• Partly automated driving
Level 2Level 2• Highly
automated driving
Level 3Level 3
• Fully automated driving
Level 4Level 4• Full
automation
Level 5Level 5
Intelligent Robotics; Fabian Kaleun, University Hamburg 6
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1.3 History of autonomous vehicles• Norman Bel Geddes created first self
driving car concept in 1939
• 1958: Concept made reality by GM
• 1977: Japanese improved that idea
• 1987: Germans gave another improvement
Intelligent Robotics; Fabian Kaleun, University Hamburg 7
For the picture source please refer to the “Picture Sources” Slide
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1.4 Upcoming Future
• How far is the technology?
• When does it start in public?
• Where will that technology lead?
Intelligent Robotics; Fabian Kaleun, University Hamburg 8
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2. How car to car communication of autonomous driving vehicles works
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2. How car to car communication of autonomous driving vehicles works Outline
1. Detection of other objects
2. Communication technologies
Intelligent Robotics; Fabian Kaleun, University Hamburg 10
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2.1 Detection of other objects• Object detection nature:
• Object Classification
• Object Localization• Done by defining a bounding box
• Object detection• More bounding boxes with same variables
Intelligent Robotics; Fabian Kaleun, University Hamburg 11
For the picture source please refer to the “Picture Sources” Slide
For the picture source please refer to the “Picture Sources” Slide
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2.2 Communication technologies• Radar/Ultrasound
• Information feed for the (artificial) driver
• Wireless network connection
Intelligent Robotics; Fabian Kaleun, University Hamburg 12
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2.2.1 Radars/Ultrasound• Very short range
• Easily disturbed by poor weather
• Detection stops at first obstacle
• Cameras insights are very limited as well
Intelligent Robotics; Fabian Kaleun, University Hamburg 13
For the picture source please refer to the “Picture Sources” Slide
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2.2.2 Information feed for the (artificial) driver• Vehicles broadcast data within a few hundred meters like:
• Position
• Speed
• Steering wheel position
• Brake status
• Other vehicles use that information to picture their environment
Intelligent Robotics; Fabian Kaleun, University Hamburg 14
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2.2.3 Wireless network connection• Creating a car to car network is a complex challenge
• 5G is a crucial must have here (transfer of 2 petabits per week)
• Possible due to combination of bandwidth of 5G frequencies and new digital radio architectures
• Broadcasted data is processed 10 times per second
• Transmitters use 802.11p (new wireless standard) to authenticate each message
Intelligent Robotics; Fabian Kaleun, University Hamburg 15
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3. Decision making in dangerous situations
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3. Decision making in dangerous situationsOutline
1. Artificial Intelligence Challenges
2. Case examples
Intelligent Robotics; Fabian Kaleun, University Hamburg 17
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3.1 Artificial Intelligence Challenges• Safe, secure and highly responsive
solutions, made in split seconds required
• Extensive amount of training for AI network necessary
• One autonomous vehicle is projected to have more code than any other software ever created
Intelligent Robotics; Fabian Kaleun, University Hamburg 18
For the picture source please refer to the “Picture Sources” Slide
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3.2. Case examples1. City traffic
2. Overtaking
3. Obstacles on the pathway
4. Not preventable accidents
Intelligent Robotics; Fabian Kaleun, University Hamburg 19
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3.2.1 Case example: City traffic
Intelligent Robotics; Fabian Kaleun, University Hamburg 20
For the picture source please refer to the “Picture Sources” Slide
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3.2.1 Case example: City traffic• Vehicle to Infrastructure –
Communication (V2I)
• Vehicle to pedestrian –Communication (V2P)
Intelligent Robotics; Fabian Kaleun, University Hamburg 21
For the picture source please refer to the “Picture Sources” Slide
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3.2.2 Case example: Overtaking
Intelligent Robotics; Fabian Kaleun, University Hamburg 22
For the picture source please refer to the “Picture Sources” Slide
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3.2.2 Case example: Overtaking
Intelligent Robotics; Fabian Kaleun, University Hamburg 23
For the picture source please refer to the “Picture Sources” Slide
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3.2.3 Case example: Obstacles on the pathway • Traffic Jam
• Communication with other vehicles alerts in time
• Damaged Street/Accident• Information Broadcast online
• Fallen Tree?• Bugs?
Intelligent Robotics; Fabian Kaleun, University Hamburg 24
For the picture source please refer to the “Picture Sources” Slide
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3.2.4 Case example: Not preventable accidents• Very tough decision making
• Priority is always to not damage environment (including own car)
• What would you damage if you have no other choice?
Intelligent Robotics; Fabian Kaleun, University Hamburg 25
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4. Ethics
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4.1 Data protection• Which data is shared?
• Car position, speed, traffic status etc.
• Pick up?
• Destination?
• Creation of a movement profile
• Problem still not solved entirely
Intelligent Robotics; Fabian Kaleun, University Hamburg 27
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4.2 The trolley problemWhat would you do?
Intelligent Robotics; Fabian Kaleun, University Hamburg 28
For the picture source please refer to the “Picture Sources” Slide
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Sources• Definition autonomous driving: https://www.daimler.com/innovation/autonomous-
driving/special/definition.html
• Definition Artificial Intelligence: https://searchenterpriseai.techtarget.com/definition/AI-Artificial-Intelligence
• Definition Intelligence: https://medical-dictionary.thefreedictionary.com/Intelligent+behavior
• 5 Levels of autonomous driving: https://www.bmw.com/en/automotive-life/autonomous-driving.html
• History of autonomous vehicles: https://www.titlemax.com/resources/history-of-the-autonomous-car/
• Detection of other objects: https://skymind.ai/wiki/autonomous-vehicle
• Communication Technologies: https://www.technologyreview.com/s/534981/car-to-car-communication/
• 5G Information: https://www.machinedesign.com/motion-control/5g-s-important-role-autonomous-car-technology
• AI Challenges: https://www.micron.com/insight/on-the-road-to-full-autonomy-self-driving-cars-will-rely-on-ai-and-innovative-memory
Intelligent Robotics; Fabian Kaleun, University Hamburg 29
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Picture/Video Sources• Autonomous Driving Video: https://www.youtube.com/watch?v=eU5jezjdXxA&list=LL6l3dDxfAkUqal1kytuRgzQ&index=5&t=0s
• History of autonomous driving cars: https://www.bbc.com/news/business-45048264
• Object Classification and Localization: https://skymind.ai/wiki/autonomous-vehicle
• Radar: https://www.microwavejournal.com/articles/29424-ensilica-radar-imaging-co-processor-to-accelerate-development-of-self-drive-cars
• Artificial Intelligence: https://www.coe.int/en/web/commissioner/-/-we-need-to-act-now-and-put-human-rights-at-the-centre-of-artificial-intelligence-designs
• Empty Road: https://www.flickr.com/photos/33243855@N00/2708274425
• City Traffic: https://www.wbur.org/onpoint/2019/04/04/new-york-congestion-pricing-traffic
• Roundabout Traffic: https://www.citylab.com/design/2017/03/the-other-side-of-roundabouts-more-crashes/518484/
• V2V Communication: https://www.theverge.com/2016/12/13/13936342/wireless-vehicle-to-vehicle-communication-v2v-v2i-dot-nhtsa
• Overtaking math: http://www.scielo.br/img/revistas/lajss/v11n14/a02fig01.jpg
• Overtaking: https://s.yimg.com/uu/api/res/1.2/zYvVC1gQN43ipZu7na0W8w--~B/aD0xNTM1O3c9MjEyNjtzbT0xO2FwcGlkPXl0YWNoeW9u/http://media.zenfs.com/en_US/News/US-AFPRelax/643863_280113bos.ea66f162722.original.jpg
• Obstacle - Tree: https://www.abc.net.au/news/2012-06-10/tree-fallen-across-street-after-wa-storm/4063050
• Trolley Problem: https://www.inc.com/magazine/201811/tom-foster/artificial-intelligence-ethics.html
Intelligent Robotics; Fabian Kaleun, University Hamburg 30
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Thank you for your attentionT HO UG H TS TO T H E T RO L LEY P RO B LEM?
A N Y Q UES T I O NS?
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