Meicen Liu

Time-Optimized Online Planning For Parallel Parking With Nonlinear Optimization and Improved Monte Carlo Tree Search

Automatic parallel parking is critical to increase safety in urban narrow parking spots, maximize the traffic efficiency, and provide human drivers with mobility and convenience. Recent research integrates Monte Carlo tree search (MCTS) and artificial neural networks (ANNs) to calculate optimal late