Online Collecting Method of Real-time Situation Information of NEV Operation

In order to solve the problem of low efficiency of online acquisition based on smoothed window and integral graph, a real-time online acquisition method for NEV operation situation information is proposed. Using machine vision technology to identify the road and obstacles, eliminate interference information, determine the road nearest point. According to the principle of acquisition based on machine vision, the instruction of the internal acquisition module is given. Through remote online calibration, data acquisition sequence is controlled, remote program is upgraded, and the information can reach the instruction position quickly. A feedback loop is designed to control acquisition error by error feedback coefficient. The expérimentai resufts show that the maximum acquisition efficiency of this method is 80%, which has good acquisition effect.