Lane Instance

Lane instance understanding involves identifying and characterizing individual lane markings in images, crucial for autonomous driving and other vision-based navigation systems. Current research focuses on improving the accuracy and robustness of lane detection algorithms, particularly in challenging conditions like rain or poor visibility, employing deep learning architectures such as Transformers and convolutional neural networks with innovative modules for feature extraction and refinement. These advancements aim to enhance the reliability and precision of lane detection, ultimately contributing to safer and more efficient autonomous vehicles and advanced driver-assistance systems.