LaneATT and Eigenlanes
About LaneATT
lucastabelini/LaneATT
Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)
This project provides an advanced system for real-time lane detection in vehicle camera feeds. It takes raw video or image data from a vehicle's perspective and outputs precise information about lane markings. This is useful for engineers and researchers developing autonomous driving systems or advanced driver-assistance features.
About Eigenlanes
dongkwonjin/Eigenlanes
Official code for "Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes", CVPR2022
This project helps self-driving car engineers and researchers accurately identify lane markings in diverse and complex driving scenarios. It takes raw image or video data of road scenes and outputs highly precise lane line detections, even when lanes are structurally varied or obscured. Autonomous vehicle perception system developers would use this to improve the robustness and reliability of their lane-keeping and navigation systems.
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