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The Method of Detecting Nearest Distance between Obstacles and Vehicle Tail Based on Binocular Vision System

机译:基于双目视觉系统的障碍物与车辆尾部最近距离检测方法

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In order to provide auxiliary information for car parking, a strategy of detecting the nearest distance between obstacle and vehicle tail was studied based on the binocular vision system and a parking assist system was designed. The captured images processed and analyzed by using binocular vision system, the image distortion was improved by using the histogram correction method, and the influence of noise in space was eliminated by using GAUSS FILTER. Harris algorithm was used to detect the characteristic points accurately, and the feature points were matched. A kind of strategy about detecting the recent distance between obstacles and the rear of vehicle was put forward. When fitting the curve, the curve of car tail was instead by polygon approximation. The detection of closest distance between obstacles and the rear of the vehicle was accomplished by using the binocular vision principle. The distance could be used to provide useful parking information to drivers.
机译:为了给停车提供辅助信息,研究了一种基于双目视觉系统的障碍物与车辆尾部之间最近距离的检测策略,并设计了一种停车辅助系统。使用双目视觉系统处理和分析捕获的图像,使用直方图校正方法改善图像失真,并使用高斯滤波器消除空间噪声的影响。利用Harris算法准确地检测出特征点,并进行特征点匹配。提出了一种检测障碍物与车辆后方最近距离的策略。拟合曲线时,尾巴的曲线改为多边形近似。通过使用双目视觉原理来检测障碍物与车辆后方之间的最近距离。该距离可用于向驾驶员提供有用的停车信息。

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