An FPGA-based vehicle speed measurement system using an uncalibrated camera
An FPGA-based vehicle speed measurement system using an uncalibrated camera
复制标题
使用未校准相机的基于 FPGA 的车速测量系统
DOI：
10.1109/iccas.2010.5669765
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
J. Jeon
中科院分区：
文献类型：
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作者：
Ji Ho Song;Nguyen Tuong Thuy;S. Jin;Dongkyun Kim;J. Jeon
视频图像测速是智能交通系统中的一项重要技术。介绍了一种硬件实现的车辆速度测量系统。该系统的操作包括三个步骤。首先，我们从一系列捕获的图像中删除车辆以创建背景。为此，我们引入了一种针对硬件进行优化的简化排除算法。其次，从输入图像中去除背景，同时进行仿射校正。最后，根据校正后的图像对车辆进行跟踪并测量速度。该系统使用两个sram和一个FIFO来存储图像。在每个步骤中，我们提出了两个SRAM的内存管理方法，以便在一个SRAM中存储多个图像。这使我们的系统能够在一次全内存扫描中获得两个图像。通过对车速计与视觉测速结果的对比实验，系统获得了±7.5%的速度误差。
Measuring a vehicle's speed using a video image is an important technique in an intelligent transportation system. This paper presents a hardware implemented vehicle speed measurement (VSM) system. The operation of the system consists of three steps. First, we remove vehicles from a series of captured images to create a background. To do this, we introduce a simplified exclusion algorithm optimized to the hardware. Second, we subtract the background from the incoming image and concurrently apply affine rectification. Finally, based on the rectified image, we track the vehicles and measure the velocity. The system uses two SRAMs and one FIFO to store images. At each step, we present a memory management method of two SRAMs to store multiple images in one SRAM. This enables our system to obtain two images in a single full memory scan. Our system obtained ± 7.5% velocity error using an experiment comparing the vehicle's speedometer and the vision-based measured velocity.