Generalized Predictive Planning for Autonomous Driving in Dynamic Environments

Generalized Predictive Planning for Autonomous Driving in Dynamic Environments. Self-driving vehicle planner stochastically generates coupled spatial paths and velocity profiles, collision checking over space-time around predicted obstacle trajectories. Generality shown by same algorithm applied for planning onboard three vehicle platforms (scooter, buggy, and road car), in varied environments (pedestrian and on-road).

Research by Singapore-MIT Alliance for Research and Technology (SMART) and National University of Singapore (NUS)

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