Design and Experimental Analysis of an Adaptive Cruise Control
Nowadays, cars are equipped with quite a few Advanced Driver Assistant Systems(ADAS) to increase comfortability and safety while driving. Adaptive Cruise Control (ACC) is one of these ADAS systems that keeps a certain distance to a heading vehicle in front by smoothly adapting the vehicle’s speed. Usually, this is implemented using a separate PID controller for the velocity and distance or a MIMO system. This paper proposes a novel Fuzzy Logic approach for an autonomous model car called Autominy. The AutoMiny platform was developed at Dahlem Center for Machine Learning and Robotics at Freie Universität Berlin. It is equipped with a software stack for fully autonomous driving with custom modules for localization, control, and navigation. AutoMiny navigates using a pre-build vector force field approach. The proposed Fuzzy Logic controller can handle two states with different profiles. We extend the evaluating between our approach against a standard PID controller approach.