Quo Vadis? Meaningful Multiple Trajectory Hypotheses Prediction in Autonomous Driving

2021 IEEE International Intelligent Transportation Systems Conference (ITSC)(2021)

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摘要
Predicting the future behavior of traffic participants in the scene surrounding the ego vehicle is essential for the autonomous vehicle to plan a safe, comfortable, and legal route. The prediction of the other participants' future trajectories can be interpreted as a multiple-hypotheses prediction (MHP) task, due its inherent multi-modality and non-determinism. We introduce an algorithm to generat...
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关键词
Training,Roads,Urban areas,Euclidean distance,Prediction algorithms,Trajectory,Topology
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