Vision-Based Lane Keeping - A Survey

Chadaporn Keatmanee, Siriaksorn Jakborvornphan, Chakrapan Potiwanna, Wimol San-Uml, M. Dailey
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引用次数: 2

Abstract

Ahstract- Several intelligent transportation system applications, such as automatic steering systems, lane departure warning systems, and driver performance monitoring systems, depend on obtaining accurate estimates of the vehicle's trajectory with respect to the lane the vehicle is driving in. However, lane marking detection and tracking using video or laser sensors tend to be extremely noisy, requiring robust methods for lane marking detection and tracking. Therefore, it has been an active field of research for decades. In this paper, we survey methods for detecting lane marking as well as tracking lane boundaries in real time focusing on vision-based system. We present a generic problem and elaborate the broad ranged proposed method in vision-based system. Finally, we identify these gaps and recommend research direction that may bridge them.
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基于视觉的车道保持调查
摘要:智能交通系统的一些应用,如自动转向系统、车道偏离预警系统和驾驶员行为监控系统,都依赖于对车辆行驶轨迹的准确估计。然而,使用视频或激光传感器的车道标记检测和跟踪往往非常嘈杂,需要强大的车道标记检测和跟踪方法。因此,几十年来它一直是一个活跃的研究领域。本文以基于视觉的系统为重点,研究了车道标记检测和车道边界实时跟踪的方法。本文提出了基于视觉的系统中的一个通用问题,并详细阐述了广泛的提出方法。最后,我们确定了这些差距,并推荐了可能弥合它们的研究方向。
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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