Zhaoting Li

Master student at ETH Zurich

A sampled-based trajectory planning method for urban autonomous vehicles


A sampled-based trajectory planning method for urban autonomous vehicles

  • Advisor: Masayoshi Tomizuka , IEEE Fellow and Professor of Mechanical Engineering, UC Berkeley

In this project, we designed a motion planning method for urban autonomous vehicles. This method have the advantages of fast sampling speed, time-bounded collison-free path generation and sampling-based decision making method.