SDLane: Efficient Lane Detection via Sparse Anchors and Dynamic Fusion
The complexity of real-world scenes poses significant challenges to lane detection. Existing methods often sacrifice inference speed and model simplicity by relying on excessive anchors or complex associations. To tackle these issues, we propose SDLane, a highly efficient, accurate, and concise lane detection model....