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Verification of Feasibility of Detecting Road Surface Conditions Using Visual Images

机译:使用视觉图像验证检测路面条件的可行性

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Advanced Cruise-Assist Highway Systems (AHS) are expected to solve various road traffic problems such as traffic accidents and congestion, and research is being actively promoted toward the introduction of these systems. One of the key technologies needed for AHS is "technology for detecting road surface conditions", or technology which recognizes road surface conditions (dry, wet, snow-covered, frozen, etc.) using sensors. In research and development on technology for detecting road surface conditions thus far, laser radar and various other sensor devices have been proposed, and the feasibility of their application has been investigated.[1] On the other hand, large numbers of cameras have already been installed for monitoring operations by road controllers. If software-based functions for detecting road surface conditions can be achieved using these cameras as the sensors, then AHS can be introduced quickly and with low cost. This paper presents principles for detecting road surface conditions using cameras which are shared with other applications, confirms the appropriateness of these principles through tests using these principles, and examines problems remaining for implementation. In addition, the paper also presents policies for solving these problems, and investigates the degree to which such a system might approach the practical level.
机译:高级巡航协助公路系统(AHS)预计将解决各种道路交通问题,如交通事故和拥堵,并积极促进研究这些系统。 AHS所需的关键技术之一是“检测道路表面条件的技术”,或使用传感器识别道路表面条件(干燥,湿,湿,覆盖,冷冻等)的技术。在迄今为止检测道路表面条件的技术研究和开发中,已经提出了激光雷达和各种其他传感器装置,并研究了其应用的可行性。[1]另一方面,已经安装了大量相机用于通过道路控制器监控操作。如果可以使用这些相机作为传感器可以实现基于软件的用于检测道路表面条件的功能,则可以快速和低成本引入AHS。本文介绍了使用与其他应用共享的摄像机检测道路表面条件的原理,通过使用这些原则来证实这些原则的适当性,并检查了实施的问题。此外,本文还提出了解决这些问题的政策,并调查这种系统可能接近实际水平的程度。

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