Han, Yi and Wang, Biyao and Guan, Tian and Tian, Di and Yang, Guangfeng and Wei, Wei and Tang, Hongbo and Chuah, Joon Huang (2023) Research on road environmental sense method of intelligent vehicle based on tracking check. IEEE Transactions on Intelligent Transportation Systems, 24 (1). pp. 1261-1275. ISSN 1524-9050, DOI https://doi.org/10.1109/TITS.2022.3183893.
Full text not available from this repository.Abstract
Environment perception is the premise for intelligent vehicles to drive safely and stably. Despite the rapid development of road detection technology based on visual images, it is still challenging to robustly identify road areas in visual images due to the influence of illumination changes and noise. In order to solve this problem, we introduce a new optimized lidar and camera sensor fusion method for road environment sensing of intelligent vehicles. In road boundary detection based on laser data, a median point filtering method of ordered pole cloud is proposed. A method of boundary search, boundary seed point growth and obstacle clustering is proposed to identify road boundary. In the lane line classification based on visual image, a lane line search classification method is proposed, which can effectively classify lane lines and extract single lane lines. On the basis of the optimization of sensors, several constraint conditions are proposed based on the fusion of the two data, and the location of missing
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Roads; Laser radar; Intelligent vehicles; Cameras; Surface emitting lasers; Sorting; Visualization; Multi-sensor fusion; intelligent vehicle; environmental perception; lidar; machine vision |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering Faculty of Engineering > Department of Electrical Engineering |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 30 Oct 2024 08:29 |
| Last Modified: | 30 Oct 2024 08:29 |
| URI: | http://eprints.um.edu.my/id/eprint/39519 |
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