Quo Vadis? Meaningful Multiple Trajectory Hypotheses Prediction in Autonomous Driving
2021 IEEE International Intelligent Transportation Systems Conference (ITSC)(2021)
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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