Applications of Deep Learning for Automatic Detection of the Lane in Autonomous Driving
Autonomous cars are intelligent machines that can operate and move automatically without human control. It is capable of detecting and determining the surrounding environmental conditions, thereby making decisions to navigate to the destination in a stable and safe manner. This paper demonstrates that one of the important applications of image processing technology in autonomous cars is lane detection and tracking. The use of cameras enables the self-driving car to identify and analyze lane markings, thus adjusting its direction of movement to be appropriate and safe.
Authors
- Duc Lich Luu (ORCID: https://orcid.org/0000-0001-5612-5126)
- Quoc Thai Pham (ORCID: https://orcid.org/0000-0003-4783-2659)
- Ha Vu Le (ORCID: https://orcid.org/0000-0003-3441-1409)
- Katelyn Le
- Peng Bao
- Doan Trung Quan
Institutions
- Vinh University (VN)
- University of Da Nang (VN)
Publication Details
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1109/atigb63471.2024.10717716
- Primary Topic
- Autonomous Vehicle Technology and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00