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Wireless sensor networks have been proven to be attractive in vehicle monitoring. To apply wireless sensor network in vehicle monitoring, the fundamental problems, vehicle detection should be explored. To address this problem, challenges like strong noise disturbance, severely limited node resource, should be overcome. In this paper, we propose a CBNP algorithm to accurately detection vehicle presence. To apply cross-correlation in vehicle detection, we build a vehicle response model for cross-correlation calculation. Simulation indicates that the detection accuracy of the CBNP algorithm is as high as 90%.