走向自动车队驾驶:识别前方起步车辆

R. Kories, N. Rehfeld, G. Zimmermann
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引用次数: 15

摘要

研究了车辆启动过程中前车的自动检测及后续跟踪模型的推导问题。很少有关于车辆外观的知识被利用。运动信息是选择属于领先车辆的图像结构的主要线索。边缘模型是由两个相互交叉验证的独立的、互补的运动估计过程导出的。通过一个由130幅电视图像组成的图像序列,验证了聚合模型识别的适用性和运动估计过程的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards autonomous convoy driving: recognizing the starting vehicle in front
The problem of automatically detecting a leading vehicle in the process of starting off and deriving a model for further tracking is addressed. Very little knowledge about the appearance of the vehicle is utilized. Motion information is the main cue for selecting image structures belonging to the leading vehicle. An edge model is derived from two independent, complementary motion-estimation processes that cross-validate each other. The suitability of the aggregated model for recognition and the precision of the motion estimation process are demonstrated by means of an image sequence consisting of 130 TV images.<>
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