A Study for Moving Object Extraction Method of Intelligent Vehicle Omnidirectional Lidar

Point cloud data can be obtained by vehicular laser radar, there are much noise, large amount of data and orderly data flow from its characteristics. This study has proposed a set of cloud data for the laser radar to process and efficiently extract the mobile target movement. The experimental results on range data show that the method can accurately and effectively identify the target in the radar scanning plane in a single frame based on the idea of dynamic programming. Simultaneously, to handle continuous frame data, and combine the results of each frame data by this method. When extracting the moving target information, the moving target can be continuously captured by an extremely low time complexity. The portability algorithm can adapt to a variety of processors, thus improving the use of laser radar to obtain the effect of moving targets.

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