PhD Thesis: Autonomous Driving: Path Planning Based on Multi-Criteria Optimization
Keywords: autonomous driving, optimization, path planning, constrained control, trajectory planning
Thesis abstract: The thesis proposes a convex optimization framework for autonomous vehicle motion planning, providing safe and computationally efficient path and trajectory generation in complex dynamic environments. The framework integrates obstacle avoidance, vehicle dynamics, and optimization-based control within a unified formulation.
Duration: December 2023 – November 2026
Funding: Ampere Software Technology (Renault Group)
Supervising team:
CentraleSupélec
- Sorin Olaru (L2S)
- Silviu-Iulian Niculescu (L2S)
Ampere Software Technology
- Iris Ballesteros-Tolosana
- Simon Mustaki
- Carlos Flores
