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首页> 外文会议>2010 International Symposium on Computer Communication Control and Automation >Embedded vision-based nighttime driver assistance system
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Embedded vision-based nighttime driver assistance system

机译：嵌入式基于视觉的夜间驾驶员辅助系统

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摘要

This study presents an effective method for detecting vehicles in front of the camera-assisted car during nighttime driving and implements it on an embedded system. The proposed method detects vehicles based on detecting and locating vehicle headlights and taillights using techniques of image segmentation and pattern analysis. Firstly, to effectively extract bright objects of interest, a segmentation process based on automatic multilevel thresholding applied on the grabbed road-scene images. Then the extracted bright objects are processed by to identify the vehicles by locating and analyzing their vehicle light patterns and to estimate their distances to the cameraassisted car by a rule-based procedure. Finally, we also implement the above vision-based techniques on a real-time system mounted in the host car. The proposed vision-based techniques are integrated and implemented on an ARMLinux embedded platform, as well as the peripheral devices, including image grabbing devices, voice reporting module, and other in-vehicle control devices, will be also integrated to accomplish an in-vehicle embedded vision-based nighttime driver assistance system.
机译：这项研究提出了一种在夜间驾驶过程中检测摄像辅助车前方车辆的有效方法，并将其实现在嵌入式系统上。所提出的方法通过使用图像分割和模式分析技术来检测和定位车辆前灯和尾灯，从而对车辆进行检测。首先，为了有效地提取感兴趣的明亮物体，对抓取的道路场景图像应用了基于自动多级阈值分割的分割过程。然后，对提取的明亮物体进行处理，以通过定位和分析车辆的灯光模式来识别车辆，并通过基于规则的程序来估计其与摄像辅助车的距离。最后，我们还将上述基于视觉的技术应用于安装在主车上的实时系统。所提出的基于视觉的技术已集成并实现在ARMLinux嵌入式平台上，并且还将集成外围设备（包括图像捕获设备，语音报告模块和其他车载控制设备）以完成车载嵌入式基于视觉的夜间驾驶员辅助系统。

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