3D Lane

3D lane detection aims to accurately identify and represent lane markings in three-dimensional space, a crucial task for autonomous driving systems. Current research focuses on developing robust and efficient models, often employing transformer architectures or leveraging physical priors and geometric constraints to improve accuracy and handle complex scenarios. These advancements are driven by the need for reliable perception systems in autonomous vehicles, impacting both the development of advanced driver-assistance systems and the broader field of computer vision. The use of multi-modal data (e.g., camera and LiDAR) is also a significant area of exploration to overcome limitations of individual sensor modalities.