Abstract:

The blind area of a driver's vision is a key problem in the frequent occurrence of traffic accidents.The existing cameras,corner mirrors and sensors are vulnerable to weather or insufficient light when sensing the environment,resulting in accidents.Therefore,based on the low power consumption,low cost and all-day ubiquitous perception capability of the Wi-Fi network,this paper proposes a blind area dynamic object monitoring system based on intelligent perception of wireless channel status.In scenes similar to corners or turns,wireless sensing technology and pattern recognition are used to monitor whether pedestrians are about to enter the blind area of vehicle vision perpendicular to the travel direction in advance,so as to realize "visual turning",warn passing vehicles and avoid accidents.Experimental results show that the proposed blind area monitoring system can achieve an average accuracy of 96% in the blind area within 5 meters,and has the advantages of robustness and universality.Compared with traditional monitoring methods,the system can work well in the dark environment without violating people's privacy so that it has application potential in the complex urban traffic network and is of great significance to improving traffic conditions and ensuring pedestrian travel safety.

Key words: Wi-Fi network, wireless sensing, channel state information, blind area of visual field, pattern recognition