Road intersection detection using the YOLO model based on traffic signs and road signs

3区 计算机科学 Q1 Computer Science Journal of Ambient Intelligence and Humanized Computing Pub Date : 2024-06-01 DOI:10.1007/s12652-024-04815-w
William Eric Manongga, Rung-Ching Chen
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Abstract

A road intersection is an area where more than two roads in different directions connect. It is a point of transition where the driver navigates and makes the decision, making it an area with a high risk for traffic accidents. Road intersection detection is identifying and analyzing road intersections in real time using various technologies and algorithms. It is an essential part of intelligent transportation systems and autonomous driving. Road intersection detection helps the driver to identify the road intersection early to make good driving decisions and avoid accidents. Despite its high importance, only a few research is found regarding this topic. Existing research mainly focuses on detecting and classifying traffic signs, vehicles, and pedestrians. In this research, we propose an algorithm to detect road intersections using an image from the front-facing camera installed on the car as an input. We use traffic sign detection to detect seven types of traffic signs having a high probability of intersection nearby and combine it with our novel road intersection detection algorithm to detect the location of the road intersection. Our road inter-section detection algorithm leverages the relationship between the area of the traffic signs and the location of the intersection. Our proposed method gives promising results from the experiments and can detect road intersections from further distances. Our method is also able to perform detection in real time.

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利用基于交通标志和道路标志的 YOLO 模型检测道路交叉口
交叉路口是两条以上不同方向的道路相连接的区域。它是驾驶员导航和做出决定的过渡点,是交通事故的高风险区域。道路交叉口检测是利用各种技术和算法对道路交叉口进行实时识别和分析。它是智能交通系统和自动驾驶的重要组成部分。道路交叉口检测可以帮助驾驶员及早识别道路交叉口,从而做出正确的驾驶决策,避免事故发生。尽管路口检测非常重要,但有关这一主题的研究却寥寥无几。现有研究主要集中在交通标志、车辆和行人的检测和分类上。在本研究中,我们提出了一种使用安装在汽车上的前置摄像头图像作为输入来检测道路交叉口的算法。我们使用交通标志检测来检测附近有高概率交叉的七种交通标志,并将其与我们新颖的道路交叉口检测算法相结合来检测道路交叉口的位置。我们的道路交叉口检测算法利用了交通标志区域与交叉口位置之间的关系。我们提出的方法在实验中取得了很好的结果,可以检测到更远距离的道路交叉口。我们的方法还能进行实时检测。
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来源期刊
Journal of Ambient Intelligence and Humanized Computing
Journal of Ambient Intelligence and Humanized Computing COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
9.60
自引率
0.00%
发文量
854
期刊介绍: The purpose of JAIHC is to provide a high profile, leading edge forum for academics, industrial professionals, educators and policy makers involved in the field to contribute, to disseminate the most innovative researches and developments of all aspects of ambient intelligence and humanized computing, such as intelligent/smart objects, environments/spaces, and systems. The journal discusses various technical, safety, personal, social, physical, political, artistic and economic issues. The research topics covered by the journal are (but not limited to): Pervasive/Ubiquitous Computing and Applications Cognitive wireless sensor network Embedded Systems and Software Mobile Computing and Wireless Communications Next Generation Multimedia Systems Security, Privacy and Trust Service and Semantic Computing Advanced Networking Architectures Dependable, Reliable and Autonomic Computing Embedded Smart Agents Context awareness, social sensing and inference Multi modal interaction design Ergonomics and product prototyping Intelligent and self-organizing transportation networks & services Healthcare Systems Virtual Humans & Virtual Worlds Wearables sensors and actuators
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