Neuroscience

Perception

Biology

Self driving

Computer science

Astronomy

Quantum mechanics

Engineering

Transport engineering

Competition (biology)

Control (management)

Trajectory

Parking guidance and information

Artificial intelligence

Ecology

Physics

Event (particle physics)

IEEE Transactions on Intelligent Vehicles

Automated parking is a typical function in a self-driving car. The trajectory planning module directly reflects the intelligence level of an automated parking system. Although many competitions have been launched for autonomous driving, most of them focused on on-road driving scenarios. However, driving on a structured road greatly differs from parking in an unstructured environment. In addition, previous competitions typically competed on the overall driving performance instead of the trajectory planning performance. A trajectory planning competition of automated parking (TPCAP) has been recently organized. This event competed on parking-oriented planners without involving other modules, such as localization, perception, or tracking control. This study reports the TPCAP benchmarks, achievements, experiences, and future perspectives.

Online Competition of Trajectory Planning for Automated Parking: Benchmarks, Achievements, Learned Lessons, and Future Perspectives