Ultra-Fast-Lane-Detection
SNE-RoadSeg
Our great sponsors
| Ultra-Fast-Lane-Detection | SNE-RoadSeg | |
|---|---|---|
| 1 | 1 | |
| 1,680 | 290 | |
| - | - | |
| 0.0 | 1.8 | |
| over 1 year ago | almost 3 years ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Ultra-Fast-Lane-Detection
-
Lane Assist system I've been working on over the past few days.
The way this works is that great minds made a paper about lane detection.
SNE-RoadSeg
-
[R] Computer Vision for Driving Scene Understanding: from Autonomous Driving to Road Condition Assessment - Link to a free online lecture by the author in comments
Learning Collision-Free Space Detection from Stereo Images: Homography Matrix Brings Better Data Augmentation - https://arxiv.org/abs/2012.07890 git: https://github.com/hlwang1124/SNE-RoadSeg
What are some alternatives?
Euro-Truck-Simulator-2-Lane-Assist - Plugin based interface program for ETS2/ATS.
3DDFA_V2 - The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
PaddleSeg - Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
rethinking_road_reconstruction_pothole_detection - Rethinking Road Surface 3D Reconstruction and Pothole Detection: From Perspective Transformation to Disparity Map Segmentation (T-CYB)
Ultrafast-Lane-Detection-Inference-Pytorch- - Example scripts for the detection of lanes using the ultra fast lane detection model in Pytorch.
road_surface_3d_reconstruction_datasets - Road Surface 3D Reconstruction Based on Dense Subpixel Disparity Map Estimation (T-IP)
YOLOP - You Only Look Once for Panopitic Driving Perception.（MIR2022）
lanenet-lane-detection - Unofficial implemention of lanenet model for real time lane detection