Image Processing Algorithms for Driver Assistance using Wide Angle Cameras

Q4 Computer Science
Sebastian Houben
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引用次数: 0

Abstract

Modern vehicles are deployed with a large number of sensors in order to provide a rich spectrum of driver assistance functionality. These systems enhance security and comfort of passengers and other traffic participants alike, but they also pave the road to fully autonomous traffic. In order to provide this functionality robustly and reliably, one currently makes use of numerous specialized sensors: laser, radar, ultrasound, and infrared sensors, as well as different kinds of video cameras. The diversity of sensors comes with high cost and enables complex assistance functions momentarily only for upper-class vehicles. The current research, thus, focuses on the development of better algorithms that make similar systems possible on inexpensive sensors. This thesis examines the aptitude of a new camera system, which has recently grown popular in vehicles of most of the large automobile manufacturers, for all major video-based driver assistance functionality. This so-called  Topview system consists of four wide angle cameras with a view angle of up to 200 degrees , usually mounted at the front bumper, the two side mirrors and the trunk lid. By these means, one is able to provide a view surrounding the entire vehicle. However, the single camera images are distorted which substantiates the need for adapted image processing algorithms.
基于广角摄像头的驾驶辅助图像处理算法
现代车辆配备了大量传感器,以提供丰富的驾驶员辅助功能。这些系统提高了乘客和其他交通参与者的安全性和舒适性,但它们也为全自动交通铺平了道路。为了强大而可靠地提供这一功能,人们目前使用了许多专门的传感器:激光、雷达、超声波和红外传感器,以及不同种类的摄像机。传感器的多样性带来了高昂的成本,并使复杂的辅助功能暂时只适用于高级车辆。因此,目前的研究重点是开发更好的算法,使类似的系统在廉价的传感器上成为可能。本文研究了一种新的摄像系统的能力,该系统最近在大多数大型汽车制造商的车辆中越来越流行,用于所有主要的基于视频的驾驶员辅助功能。这种所谓的Topview系统由四个视角高达200度的广角摄像头组成,通常安装在前保险杠、两个侧视镜和后车盖上。通过这些方法,人们可以看到整个车辆的周围。然而,单相机图像是扭曲的,这证实了需要适应的图像处理算法。
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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来源期刊
Electronic Letters on Computer Vision and Image Analysis
Electronic Letters on Computer Vision and Image Analysis Computer Science-Computer Vision and Pattern Recognition
CiteScore
2.50
自引率
0.00%
发文量
19
审稿时长
12 weeks
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