MERL

• We demonstrate MERL's particle filter-based planning for autonomous vehicle using Hamster mini-cars. One car is controlled by MERL's planning algorithm and executes different driving maneuvers in traffic, constituted by two cars that follow the center of pre-assigned lanes. The path planner algorithm generates target trajectories and velocities that are tracked by decoupled PID loops.

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• We demonstrate MERL's particle filter-based planning and MPC control using PRESAS solver for autonomous vehicle using Hamster mini-cars. One car is controlled by MERL's planning algorithm and executes different driving maneuvers in traffic, constituted by two cars that follow the center of pre-assigned lanes. The path planner algorithm generates target trajectories and velocities that are tracked by a single multi-variable MPC controller solving the optimization problem in real-time.

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