Verification of a Predictive Method for Obstacle Detection and Safe Operation of Autonomous Vehicles

This paper focuses on the verification of an object detection and avoidance method for autonomous vehicles to maneuver their way safely and efficiently. The model predictive control approach is explored and compared with other control approaches based on variables such as safe detection distance and safe operating time. The results indicate that the proposed approach could be promising for autonomous vehicles that often comprise various types of sensors and components and could otherwise be difficult to test and verify with traditional methods.