Hardware Simulation of Camera-based Rear-End Collision Avoidance System using Fuzzy Logic

Abstract

RCAS (Rear-end Collision Avoidance Systems) is one of the safety features in autonomous cars that can determine what kind of movement that a car installed with the RCAS system should perform to avoid any crashes with another car/object in front of it. This camera-based RCAS uses a Pixy CMUCAM5 camera to measure the distance of a leading car. The measured distance used as the input of a Fuzzy Logic Algorithm will determine the speed and steering angle of the car. This system is applied to a small toy car with an Active Steering Assist to execute the calculated movement that should be performed by the car. The use of this system is proven to improve the level of the safety of the car by successfully avoiding possible collisions.