Evaluating Sequential Reasoning about Hidden Objects in Traffic

Conference paper (2022)

Authors

Truls Nyberg KTH Royal Institute of Technology

Jose Manuel Gaspar Sanchez KTH Royal Institute of Technology

Christian Pek KTH Royal Institute of Technology

Jana Tumova KTH Royal Institute of Technology

Martin Torngren KTH Royal Institute of Technology

Affiliation

External organisation

Autonomous Vehicles Motion Planning Reachability Analysis Hidden Traffic Participants Safe Autonomy Traffic Occlu-sions

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Published Date

2022

Language

English

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Abstract

Hidden traffic participants pose a great challenge for autonomous vehicles. Previous methods typically do not use previous obser-vations, leading to over-conservative behavior. In this paper, we present a continuation of our work on reasoning about objects out-side the current sensor view. We aim to demonstrate our recently proposed method on an autonomous platform and evaluate its relia-bility and real-time feasibility when using real sensor data. Showing a significant driving performance increase on a real platform, with-out compromising safety, would be a significant contribution to the field of autonomous driving.