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Intelligent vehicles can improve traffic safety and reduce damage caused by traffic accidents. Environmental perception system is the core of the intelligent vehicle which detects vehicles and pedestrians around the ego host-vehicle by using vehicle environmental perception sensors. Environmental perception system with the multi-sensor information fusion algorithm can utilize the advantages of each environmental perception sensor and detects targets with higher detection probability and precision. Most of the published papers are based on the sensor level fusion architecture which is not stable and robust in detecting target. This paper presents a multi-sensor fusion algorithm with central level architecture, which can improve the target detection probability compare to these with the sensor level fusion architecture.