optimal feedback control

Car collision avoidance with velocity obstacle approach: Evaluation of the reliability and performace of the collision avoidance maneuver

The obstacle avoidance maneuver is required for an autonomous vehicle. It is essential to define the system's performance by evaluating the minimum reaction times of the vehicle and analyzing the probability of success of the avoiding operation. This paper presents a collision avoidance algorithm based on the velocity bstacle approach that guarantees collision-free maneuvers. The vehicle is controlled by an optimal feedback control named FLOP, designed to produce the best performance in terms of safety and minimum kinetic collision energy.

Auto-sapiens, an experimental autonomous driving system

This paper presents self-driving control experiments applied to a standard vehicle equipped with an autonomous driving kit. The Auto Sapiens project is an experimental platform to test different control strategies and develop new obstacle avoidance algorithms. The Smart Fortwo vehicle is equipped with steering, thrust and brake actuators, and proprioceptive and exteroceptive sensors to identify both real-time vehicle attitude and obstacles on the track.

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma