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http://dx.doi.org/10.14702/JPEE.2022.593

Inter-Lane Distance Measurement Method for Predicting the Lateral Movement of the Vehicle in Front  

Sung-Jung Yong (Department of Computer Science and Engineering, Korea University of Technology and Education)
Hyo-Gyeong Park (Department of Computer Science and Engineering, Korea University of Technology and Education)
Seo-young Lee (Department of Computer Science and Engineering, Korea University of Technology and Education)
Yeon-Hwi You (Department of Computer Science and Engineering, Korea University of Technology and Education)
Il-Young Moon (Department of Computer Science and Engineering, Korea University of Technology and Education)
Publication Information
Journal of Practical Engineering Education / v.14, no.3, 2022 , pp. 593-600 More about this Journal
Abstract
Various sensors such as lidar, radar, and camera are fused and used in autonomous vehicles. Rider and radar sensors are difficult to popularize because they are expensive equipment. In order to popularize autonomous vehicles, research that can replace expensive equipment is continuously being conducted. In this paper, we use a single camera that is inexpensive and can be easily mounted. We propose a method for detecting the wheels and adjacent lanes of a front-side vehicle of a driving vehicle and estimating distances. Our proposed method detects lanes and wheels from frame images after frame extraction via input images. In addition, the distance is measured and compared with the actual distance measured in the actual road environment. The distance could be calculated relatively accurately within the error range of ± 3 cm. Through this, it is expected that the camera can be used as an alternative means when the cost of autonomous vehicles is reduced or when the lidar or radar sensor fails.
Keywords
Camera; Distance Estimation; Lane Recognition; ROI;
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Times Cited By KSCI : 1  (Citation Analysis)
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