Lane Line Detection for Autonomous Driving

Stay on Track: An accurate way to determine Lane for a safer Autonomous Car Operation!

Lane Line Detection for Autonomous Driving is one of the most essential tasks involved in the self-driving technology so as to help drivers keep the cars in the right lanes and in order to prevent the cars from running over the lanes safely. Employing computer vision and Python libraries such as open source computer vision library, this system analyses live video feeds in order to identify lane markings on the roads regardless of the lighting or weather conditions prevailing at the time of filming. This allows the system to make more accurate driving decisions to lanes and better control and safe navigation hence reducing collision incidences.

Road lines and edges feature detection in the system involves the use of edge detection functions, Hough transformations, and filtering to draw accurate solid and dashed lines. It interacts with different road classes and conditions and presents high stability on highways, city roads and country tracks. Without this technology, society cannot be able to form self- sufficient autonomous vehicle that will enable safe driving and efficient response to the road conditions that surround it.