Evaluating Sequential Reasoning about Hidden Objects in Traffic

QC 20221004
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.

TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Robotteknik och automation hsv//swe
ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Robotics hsv//eng
Autonomous Vehicles
Hidden Traffic Participants
Traffic Occlusions
Motion Planning
Reachability Analysis
Safe Autonomy
Electrical Engineering
Elektro- och systemteknik

Gaspar Sánchez, José ManuelKTH,Mekatronik(Swepub:kth)u1fwbxsa (author)
Pek, ChristianKTH,Robotik, perception och lärande, RPL(Swepub:kth)u1nft8ah (author)
Tumova, JanaKTH,Robotik, perception och lärande, RPL(Swepub:kth)u19qofjk (author)
Törngren, Martin,1963-KTH,Mekatronik(Swepub:kth)u1ehupq1 (author)
KTHRobotik, perception och lärande, RPL (creator_code:org_t)

In:ICCPS '22: Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems: Institute of Electrical and Electronics Engineers (IEEE)

By the author/editor: Nyberg, Truls; Gaspar Sánchez, ...; Pek, Christian; Tumova, Jana; Törngren, Martin ...

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Electrical Engin ...; and Robotics

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