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An approach of laser-based vehicle monitor

机译:一种基于激光的车辆监控器

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摘要

Monitoring vehicles and analyzing their activities are considered very useful in various fields. So far, motion analysis with video data has been a major method to accomplish such a task. But there are several drawbacks of visual-based tracking systems. In this paper, we propose a system for real-time vehicle monitor in a wide and open area by using single-row laser range scanners (LD-A), which each has a profiling rate of 10 Hz and a scanning angle of 270 degrees. LD-A is set directly on the floor conducting horizontal scanning above the ground, so that horizontal cross sections of the surroundings, containing moving objects as well as still objects, are obtained in a rectangular coordinate system of real dimension. Considering both the processing speed and the robust feature extraction, a simplified and suitable vehicle model based on the typical appearance in the LD-data source is defined. An improved algorithm based on SVM (Support Vector Machine) is used in the implementation to get the better monitor result. Experiments are conducted at first by using one LD-A in simple case, and then being extended to use several LD-As in more complicated environment, to monitor the vehicles' movement in a crossroad side. Trajectories of the passing vehicles are tracked simultaneously, while their statistical information is given at the same time. (c) 2006 Elsevier Inc. All rights reserved.
机译:在各个领域,监视车辆并分析其活动被认为非常有用。迄今为止,利用视频数据进行运动分析已经成为完成该任务的主要方法。但是基于视觉的跟踪系统存在一些缺点。在本文中,我们提出了一种通过使用单行激光距离扫描仪(LD-A)在宽阔和空旷区域进行实时车辆监控的系统,每个扫描仪的轮廓率均为10 Hz,扫描角度为270度。 LD-A直接放置在地板上,在地面上进行水平扫描,以便在实际尺寸的直角坐标系中获得包含运动对象和静止对象的环境的水平横截面。考虑到处理速度和鲁棒的特征提取,基于LD数据源中的典型外观,定义了一种简化且合适的车辆模型。在实现中使用了一种基于支持向量机的改进算法,以获得更好的监控效果。首先在简单的情况下使用一个LD-A进行实验,然后扩展到在更复杂的环境中使用多个LD-A,以监视车辆在十字路口侧的运动。同时跟踪过往车辆的轨迹,同时提供其统计信息。 (c)2006 Elsevier Inc.保留所有权利。

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