TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents

6 Nov 2018Yuexin MaXinge ZhuSibo ZhangRuigang YangWenping WangDinesh Manocha

To safely and efficiently navigate in complex urban traffic, autonomous vehicles must make responsible predictions in relation to surrounding traffic-agents (vehicles, bicycles, pedestrians, etc.). A challenging and critical task is to explore the movement patterns of different traffic-agents and predict their future trajectories accurately to help the autonomous vehicle make reasonable navigation decision... (read more)

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