基于模型的智能车辆检测

J. M. Collado, C. Hilario, A. de la Escalera, J. M. Armingol
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引用次数: 58

摘要

目前正在研究的智能汽车高级驾驶辅助系统之一是检测和跟踪其他车辆。它将有许多应用:队列,走走停停,盲角感知,机动监督。本文提出了一种基于计算机视觉的系统。定义了车辆的几何模型,其能量函数包括车辆的形状和对称性及其产生的阴影的信息。采用遗传算法求解最优参数值。最后以实际图像为例对算法进行了验证。
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Model based vehicle detection for intelligent vehicles
One of the Advanced Driver Assistance Systems are being researched nowadays for Intelligent Vehicles has to deal -with the detection and tracking of other vehicles. It will have many applications: Platooning, Stop&go, Blind angle perception, Manoeuvres supervisor. In this paper, a system based on computer vision is presented. A geometric model of the vehicle is defined where its energy function includes information of the shape and symmetry of the vehicle and the shadow it produces. A genetic algorithm finds the optimum parameter values. Examples of real images are shown to validate the algorithm.
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