摘 由于演化算法求解多目标优化问题所得结果是一个优化解集―――Pareto最优集,而现有的演化算法收 敛性分析只适合针对单目标优化问题的单个最优解。利...

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We present a real-time model-based vision approach for detecting and tracking vehicles from a moving platform. It was developed in the context of the CMU Navlab project and is intended to provide the Navlabs with situational awareness in mixed trac. Tracking is done by combining a simple image processing technique with a 3D extended Kalman lter and a measurement equation that projects from the 3D model to image space. No ground plane assumption is made. The resulting system runs at frame rate or higher, and produces excellent estimates of road curvature, distance to and relative speed of a tracked vehicle. We have complemented the tracker with a novel machine learning based algorithm for car detection, the CANSS algorithm, which serves to initialize tracking

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