근거리 센서 기반 도심형 운전자 지원 시스템 성능평가 환경 구축

Driver Assistance System is widely under development to satisfy each safety issues including adaptive cruise control(ACC), forward vehicle collision warning system(FVCWS), pre-crash safety(PCS) and lane change aid. Low speed driver assistance system using low-cost sensors is more adopted due to its cost. This paper deals with low speed driver assistance system using short range sensors and a camera. A camera is used for lane deprature warning and forward collision warning. Blind spot detection uses two ultrasonic sensors and IR-based short range sensors are used for pre-crash safety and forward collision warning. Here, we developed an evaluation environment for low speed driver assistance system. That enables us to perform simulation and vehicle test synchronized in laboratory. Sensor simulation models are constructed in virtual driving environment and driver assistance systems logic is prepared to perform integrated simulation using composed sensor model. Real sensors can be tested in real target connected to simulation.