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.
2,531 stars. No commits in the last 6 months.
Use this if you are developing or evaluating computer vision models for autonomous vehicles and need to accurately detect and segment lane lines from camera footage in real-time.
Not ideal if you need a plug-and-play solution for non-automotive computer vision tasks or if you are not comfortable working with deep learning frameworks and datasets.
Stars
2,531
Forks
903
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 08, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/MaybeShewill-CV/lanenet-lane-detection"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
lucastabelini/LaneATT
Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane...
wvangansbeke/LaneDetection_End2End
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
cardwing/Codes-for-Lane-Detection
Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)
OpenDriveLab/PersFormer_3DLane
[ECCV 2022 Oral] Perspective Transformer on 3D Lane Detection
cfzd/Ultra-Fast-Lane-Detection-v2
Ultra Fast Deep Lane Detection With Hybrid Anchor Driven Ordinal Classification (TPAMI 2022)