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.
Applications of Deep Learning for Automatic Detection of the Lane in Autonomous Driving
2024-08-30
616986 byte
Conference paper
Electronic Resource
English
Three-Feature Based Automatic Lane Detection Algorithm (TFALDA) for Autonomous Driving
Online Contents | 2003
|Three-Feature Based Automatic Lane Detection Algorithm (TFALDA) for Autonomous Driving
British Library Conference Proceedings | 1999
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