Autonomous vehicle motion planning system with behavioral planning, local path optimization, and velocity profiling. Features collision avoidance, stop sign compliance, and lead vehicle following. Implemented in Python with CARLA simulator integration.

Build a path planner in c++ , that creates smooth, safe trajectories to drive a car down a highway with other cars .

Implemented a path planner to intelligently navigate a vehicle through a highway environment using trajectory generation, behavioral planning, and prediction of surrounding vehicles.

A proactive behavioral agent for the CARLA Simulator. It leverages a Chain of Responsibility architecture and tactical execution engines to achieve zero-collision navigation through complex intersections and dynamic obstacle evasion.