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.

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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
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Applications of Deep Learning for Automatic Detection of the Lane in Autonomous Driving

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article en

Abstract

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.

Vinh University (VN), University of Da Nang (VN)
Openalex Percentile: Top 81%
Autonomous Vehicle Technology and Safety
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