Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories

16 Oct 2018Yanfu ZhangWenshan WangRogerio BonattiDaniel MaturanaSebastian Scherer

Predicting the motion of a mobile agent from a third-person perspective is an important component for many robotics applications, such as autonomous navigation and tracking. With accurate motion prediction of other agents, robots can plan for more intelligent behaviors to achieve specified objectives, instead of acting in a purely reactive way... (read more)

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