Hardware Simulation of Advanced Driver Assistance Systems Based on Fuzzy Logic

Abstract

Advanced Driver Assistance Systems (ADAS) is a system that has the function of helping the driver to be safe the trip without reducing the convenience. The subsystems developed in ADAS among other Automatic Braking System (ABS) which functions to make braking decisions when there is an object in front of it, Rear-end Collision Avoidance System (RCAS) that serves to avoid rear-end collision, Active Lane Keeping Assist (ALKA) which serves to keep the vehicle from getting off lane from its proper lane, and Adaptive Cruise Control (ACC) which serves to adjust the distance of the car with another car in front. This paper discusses the development of fuzzy logic based algorithms for those subsystems. The developed algorithm test was conducted using experimental car. The test results on the three variations of speed: slow-speed, medium-speed, and high-speed shows that the algorithm developed of ABS, RCAS, ALKA, and ACC can work according to design.