Article

Learning Side-by-Side Navigation for Personal Mobility Vehicles from Human Drivers

The paper proposes a method for enabling two personal mobility vehicles (PMVs) to drive autonomously side by side: after a global path is given, each vehicle runs its own sampling-based model-predictive planner, the two exchange only the odometry information each can observe of the other, and a common rule is used to make a joint decision on a utility matrix over pairs of candidate trajectories.

Part of the event: Method proposed for side-by-side autonomous navigation of two personal mobility vehicles

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