Images of the lane given as an input to the algorithm, which will provide information about the lane and the Environmental condition which will be analysed by algorithm inorder to support the driver. The type of lane or the structure of the lane can be a type of information provided by algorithm. While Lane analysis the algorithm will completely ignore the useless information (such as surrounding area of lane or background) and will completely focus on the Lane. Only the lane lines will be the region of Interest in the LDS. The developed system can surely reduce the complexity of vision data and will meet the real time requirements. Based on the problems encountered in detecting objects by autonomous vehicles an effort has been made to demonstrate lane detection using Open CV library.
Algorithm for Lane Detection Using Python
2022
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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IEEE | 2021
|AN EFFICIENT LANE DETECTION ALGORITHM FOR LANE DEPARTURE DETECTION
British Library Conference Proceedings | 2013
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