lanenet-lane-detection and LVLane
About lanenet-lane-detection
MaybeShewill-CV/lanenet-lane-detection
Unofficial implemention of lanenet model for real time lane detection
This project helps self-driving car engineers and researchers develop and test lane detection systems. It takes in raw camera images from a vehicle and outputs segmented images that clearly highlight lane markings, distinguishing between different lanes. This allows for real-time identification of road boundaries and pathways, which is crucial for autonomous navigation.
About LVLane
zillur01/LVLane
This repository implements a lane detection and classification model.
This project helps self-driving car engineers and researchers train models to accurately detect and classify road lanes, even in difficult conditions. It takes raw image data, along with lane location and classification annotations, and outputs a trained model capable of identifying different types of lanes (e.g., solid, dashed, double yellow) in new images. This is essential for developing robust autonomous driving systems.
Scores updated daily from GitHub, PyPI, and npm data. How scores work