A fuzzy logic based hierarchical driver aid for parallel parking
Tarık Özkul, Mohammed Mukbil, Suheyl Al-Dafri · International Conference on Artificial Intelligence · 2008
This paper is about a fuzzy logic based driver aid which helps drivers perform flawless parallel parking. The tool gets its input from two low resolution cameras placed strategically outside the vehicle. The images are processed by an on-board CPU and crucial information necessary for parking is extracted from the scenery. A fuzzy logic based algorithm processes the information and make decisions about how the vehicle should be steered and what the speed of movement should be. The aid is a real time tool which provides recommendations on the fly as the vehicle moves. In case recommendations are not executed perfectly by the driver, instructions are reevaluated, updated and presented until the vehicle is parked acceptably.