Diverse Trajectory Forecasting with Determinantal Point Processes

ICLR 2020 Ye YuanKris Kitani

The ability to forecast a set of likely yet diverse possible future behaviors of an agent (e.g., future trajectories of a pedestrian) is essential for safety-critical perception systems (e.g., autonomous vehicles). In particular, a set of possible future behaviors generated by the system must be diverse to account for all possible outcomes in order to take necessary safety precautions... (read more)

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