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Han Liang and Suyoung Seo
The system proposed in this paper provides a new idea for the recognition algorithm of road environments in safety-assisted driving systems, and subsequently improves the existing algorithm to reduce the computational cost and improve accuracy.
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Surya Michrandi Nasution,Emir Husni,Kuspriyanto Kuspriyanto,Rahadian Yusuf,Rahmat Mulyawan
Pág. pp. 42 - 61
This paper proposed an application for Android smartphone to collect road information. That information will be extracted to acquire road width, so the drivers could use right alternate routes for their types of vehicle. Object and lane detection are bot...
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Yongchao Song, Tao Huang, Xin Fu, Yahong Jiang, Jindong Xu, Jindong Zhao, Weiqing Yan and Xuan Wang
Lane line detection is a fundamental and critical task for geographic information perception of driverless and advanced assisted driving. However, the traditional lane line detection method relies on manual adjustment of parameters, and has poor universa...
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Zongxin Yang, Xu Yang, Long Wu, Jiemin Hu, Bo Zou, Yong Zhang and Jianlong Zhang
Visual navigation is an important guidance method for industrial automated guided vehicles (AGVs). In the actual guidance, the overexposure environment may be encountered by the AGV lane image, which seriously reduces the accuracy of lane detection. Alth...
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Jia-Shing Sheu, Chun-Kang Tsai, Po-Tong Wang
Pág. 137 - 145
In this study, a simple technology for a self-driving system called ?driver assistance system? is developed based on embedded image identification. The system consists of a camera, a Raspberry Pi board, and OpenCV. The camera is used to capture lane imag...
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Jia-Shing Sheu, Chun-Kang Tsai, Po-Tong Wang
Pág. 137 - 145
In this study, a simple technology for a self-driving system called ?driver assistance system? is developed based on embedded image identification. The system consists of a camera, a Raspberry Pi board, and OpenCV. The camera is used to capture lane imag...
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Jong-Ho Han and Hyun-Woo Kim
This paper proposes a lane detection algorithm using a laser range finder (LRF) for the autonomous navigation of a mobile robot. There are many technologies for ensuring the safety of vehicles, such as airbags, ABS, and EPS. Further, lane detection is a ...
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Tuan-Anh Pham and Myungsik Yoo
In recent years, vision-based vehicle detection has received considerable attention in the literature. Depending on the ambient illuminance, vehicle detection methods are classified as daytime and nighttime detection methods. In this paper, we propose a ...
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Fenglei Ren, Xin He, Zhonghui Wei, Lei Zhang, Jiawei He, Zhiya Mu and You Lv
Road detection is a crucial research topic in computer vision, especially in the framework of autonomous driving and driver assistance. Moreover, it is an invaluable step for other tasks such as collision warning, vehicle detection, and pedestrian detect...
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Dongbeom Kim, Hyemin Kim and Chulmin Jun
The growing concerns over road safety and the increasing popularity of two-wheeled vehicles highlight the need to address aggressive driving behaviors in this context. Understanding and detecting such behaviors can significantly contribute to rider safet...
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Chandan Keerthi Kancharla,Álvaro Jorge Maia Seco,Ana Maria César Bastos Silva
Pág. 1 - 8
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Jonas Kobbert, Anil Erkan, John D. Bullough and Tran Quoc Khanh
In order to find optimized headlight distributions based on real traffic data, a three-step approach is chosen. Since the complete investigations are too extensive to fit into a single publication, this paper is the first in a series of three publication...
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JongBae Kim
This technology can prevent accidents involving large vehicles, such as trucks or buses, by selecting an optimal driving lane for safe autonomous driving. This paper proposes a method for detecting forward-driving vehicles within road images obtained fro...
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Sepehr Tabrizchi, Shaahin Angizi and Arman Roohi
Convolutional Neural Networks (CNNs), due to their recent successes, have gained lots of attention in various vision-based applications. They have proven to produce incredible results, especially on big data, that require high processing demands. However...
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Martie van der Vlist, Luc Wismans, Paul van Beek, Leon Suijs
Pág. 3370 - 3379
Approximately 25 per cent of all congestion on motorways is caused by incidents. By virtual patrolling, incidents e.g. queues, accidents and car breakdowns on a road network, can be predicted or detected in an early stage. This early detection and predic...
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Xiao Zheng, Fumi Wu, Weizhang Chen, Elham Naghizade and Kourosh Khoshelham
Real-time traffic monitoring is essential in many novel applications, from traffic management to smart navigation systems. The large number of traffic cameras being integrated into urban infrastructures has enabled efficient traffic monitoring as an inte...
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Real-time traffic monitoring is essential in many novel applications, from traffic management to smart navigation systems. The large number of traffic cameras being integrated into urban infrastructures has enabled efficient traffic monitoring as an inte...
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Yarajarla Nagasree, Chiramdasu Rupa, Ponugumati Akshitha, Gautam Srivastava, Thippa Reddy Gadekallu and Kuruva Lakshmanna
Privacy preservation of image data has been a top priority for many applications. The rapid growth of technology has increased the possibility of creating fake images using social media as a platform. However, many people, including researchers, rely on ...
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Xiaolong Li, Yun Zhang, Longgang Xiang and Tao Wu
Lane-level road information is especially crucial now that high-precision navigation maps are in more demand. Road information may be obtained rapidly and affordably by mining floating vehicle data (FCD). A method is proposed to extract the number of lan...
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