Collision Avoidance with Reinforcement Learning

Developed a collision avoidance algorithm that models human navigation behavior in human-robot coexisting environment, which satisfied admissible condition for reaching target position

This project develops predictive collision avoidance systems using ML and V2V/V2I communication. Featuring SUMO-based simulations, it enhances road safety, reduces congestion, and optimizes traffic flow for autonomous and traditional vehicles

This project had two main parts. The initial part of the project was to program a remote-controlled car to be controlled by a variety of controllers. The second part of the project was to program the remote-controlled car with a basic collision-avoidance algorithm. This algorithm utilized the surrounding environmental information to determine a …