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Evaluating Sequential Reasoning about Hidden Objects in Traffic
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- Nyberg, Truls (author)
- KTH,Robotik, perception och lärande, RPL,Scania CV AB
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- Gaspar Sánchez, José Manuel (author)
- KTH,Mekatronik
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- Pek, Christian (author)
- KTH,Robotik, perception och lärande, RPL
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- (creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2022
- 2022
- English.
- In: ICCPS '22: Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems. - : Institute of Electrical and Electronics Engineers (IEEE).
- Conference paper (peer-reviewed)
Abstract
Subject headings
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- Hidden traffic participants pose a great challenge for autonomous vehicles. Previous methods typically do not use previous observations, leading to over-conservative behavior. In this paper, we present a continuation of our work on reasoning about objects outside the current sensor view. We aim to demonstrate our recently proposed method on an autonomous platform and evaluate its reliability and real-time feasibility when using real sensor data. Showing a significant driving performance increase on a real platform, without compromising safety, would be a significant contribution to the field of autonomous driving.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Robotteknik och automation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Robotics (hsv//eng)
Keyword
- Autonomous Vehicles
- Hidden Traffic Participants
- Traffic Occlusions
- Motion Planning
- Reachability Analysis
- Safe Autonomy
- Electrical Engineering
- Elektro- och systemteknik
Publication and Content Type
- ref (subject category)
- kon (subject category)
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