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Lane detection using hybrid colour segmentation and perpendicular traversal linear search algorithm

Road lane recognition and departure tracking systems provide an additional level of assistance and security to have a safe drive. This Application identifies the roadway by recognizing the lanes on the road considering the current movements of the vehicle. This research contributes to resolving some of the outstanding challenges in real time lane detection systems. Research has proposed a perpendicular traversal linear search algorithm with hybrid colour segmentation to address appearance variations in lane marking occurs due to various weather conditions, shadows, and occlusions such as traffic on the road. Robustness of the application has been tested under various road conditions and experimental results have achieved an accuracy of 89% for the overall application performance.