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Objects classification is an important issue in environment perception of intelligent vehicles. Feature extraction is the basis for the classification. Due to the large amount of point clouds data measured by 3D LiDAR sensor and the real time performance demand of intelligent vehicles, the efficiency is a great challenge in data processing. This work proposes a new method of objects classification...
An algorithm based on grey innovation model GM (1, 1) of fixed length is introduced for the localization and tracking of moving targets. Kalman filter is an efficient computational method for tracking, but motion and noise assumption limits its process model to constant velocity model or constant acceleration model. The grey system theory uses the data characteristic of extrinsic randomicity and holistic...
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