Title :
Fuzzy Adaptive Cruise Control system with speed sign detection capability
Author :
Rizvi, Raazi ; Kalra, Sandeep ; Gosalia, Chirag ; Rahnamayan, Shahryar
Author_Institution :
Dept. of the Electr., Univ. of Ontario Inst. of Technol., Oshawa, ON, Canada
Abstract :
Advanced Driver Assistance System (ADAS) is one of latest innovations in the auto-mobile industry and has become a premium feature in many luxury vehicles. ADAS assists drivers by integrating multiple safety and convenience features into a single system. Current ADAS technology usually comprises of an Adaptive Cruise Control (ACC) system in combination with one or more warning/prevention systems. Such as lane departure, collision avoidance, and parking assist systems. This paper outlines a fuzzy logic based ADAS with integrated speed sign detection (SSD) capability. The described system improves safety of the vehicle by dynamically adjusting the speed of the ACC in accordance with the speed limit of the road. The proposed ADAS system will be helpful in reducing speeding violations and enhancing smoother cruise control in heavy traffic conditions. All system design, implementation and testing was done using the MATLAB development environment, and TORCS virtual car simulator.
Keywords :
adaptive control; automobiles; collision avoidance; control engineering computing; digital simulation; driver information systems; fuzzy control; object detection; ACC; MATLAB development environment; SSD; TORCS virtual car simulator; advanced driver assistance system; auto-mobile industry; collision avoidance; cruise control; fuzzy adaptive cruise control system; fuzzy logic based ADAS; heavy traffic conditions; integrated speed sign detection capability; lane departure; luxury vehicles; parking assist systems; speed sign detection capability; speeding violations; warning-prevention systems; Acceleration; Adaptive systems; Artificial neural networks; Fuzzy logic; Roads; Sensors; Vehicles;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-2073-0
DOI :
10.1109/FUZZ-IEEE.2014.6891748