Improved discrimination of microwave vehicle profiles

H. Roe, G. S. Hobson
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引用次数: 17

Abstract

The authors describe a combined FMCW (frequency modulated continuous wave) and Doppler radar system, which can separate traffic into five groups to accuracies of about 75% using length and height criteria. They discuss the possibility of increased determination using the more detailed profile information. In addition to the length and height data, it is possible to extract shape information for a vehicle. This shape has certain characteristics important for classification. It has been shown that the vertical face of vehicles such as buses can be identified and distinguished from other vehicles such as transit vans which have hoods or sloping fronts. Another important feature is the segmentation of the profile which occurs for trucks, which tend to have cabs and trailers, but not for buses, which are flat and continuous.<>
改进了微波车辆轮廓的识别
作者描述了一种结合FMCW(调频连续波)和多普勒雷达系统,该系统可以根据长度和高度标准将交通分为五组,精度约为75%。他们讨论了使用更详细的剖面信息增加测定的可能性。除了长度和高度数据外,还可以提取车辆的形状信息。这种形状具有某些对分类很重要的特征。有研究表明,公交车等车辆的垂直表面可以被识别出来,并与其他车辆(如有引擎盖或倾斜前部的运输货车)区分开来。另一个重要特征是轮廓的分割,这种分割出现在卡车上,卡车往往有驾驶室和拖车,而公交车则不是,公交车是平坦的、连续的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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