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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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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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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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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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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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Dongyi Wang, Guoli Wang and Hang Wang
Among so many autonomous driving technologies, autonomous lane changing is an important application scenario, which has been gaining increasing amounts of attention from both industry and academic communities because it can effectively reduce traffic con...
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Boyu Liu, Hao Wang, Yongqiang Wang, Congling Zhou and Lei Cai
The recognition of lane line type plays an important role in the perception of advanced driver assistance systems (ADAS). In actual vehicle driving on roads, there are a variety of lane line type and complex road conditions which present significant chal...
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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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Renteng Yuan, Shengxuan Ding and Chenzhu Wang
Accurate detection and prediction of the lane-change (LC) processes can help autonomous vehicles better understand their surrounding environment, recognize potential safety hazards, and improve traffic safety. This study focuses on the LC process, using ...
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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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