About this document
Motion Planning for Automated Vehicles by Ariel Ortiz is a document available to read on EtoBox.
The document discusses challenges and approaches for motion planning for automated vehicles. It describes recent progress in automated driving by companies like Google and Mercedes. Key challenges include coping with complex urban environments, accounting for vehicle dynamics and uncertainty, and proving safety. Common motion planning algorithms that will be covered include the Dynamic Window Approach, graph searches, and randomized approaches like RRT and RRT*. The goal is to provide knowledge and tools to
- Author
- Ariel Ortiz
- Language
- EN