Fleet Parking
Parking of Autonomous Vehicle Fleet in Tight Environments (ACC 2020)
Presented a system-level modeling and control framework which allows investigating different vehicle parking strategies while taking path planning and collision avoidance into consideration.
Implemented the numerical efficient algorithm, assessed different allocation strategies, and described the Braess’s paradox observed in parking scenario.
Xu Shen, Xiaojing Zhang, Francesco Borrelli, "Autonomous Parking of Vehicle Fleet in Tight Environments," 2020 American Control Conference (ACC), Denver, CO, USA, 2020, pp. 3035-3040, doi: 10.23919/ACC45564.2020.9147671. [pdf]
Scenario Rendered in Carla Simulator
Scenario Rendered in Carla Simulator
Comparison of Different Strategies
Comparison of Different Strategies