cfzd/Ultra-Fast-Lane-Detection

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2048 stars · 528 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A PyTorch implementation of the ECCV 2020 paper 'Ultra Fast Structure-aware Deep Lane Detection', providing training and evaluation code for fast lane detection models. It includes pretrained ResNet-18 models on the CULane and TuSimple benchmarks running at hundreds of FPS.

Use cases

• detect lane markings in dashcam or driving footage
• train a lane detection model on CULane or TuSimple datasets
• run real-time lane detection on a GPU for autonomous driving research
• benchmark lane detection accuracy and speed
• replicate ECCV 2020 lane detection paper results

When to choose

• you need a fast, well-cited lane detection baseline in PyTorch
• you want pretrained models for CULane or TuSimple benchmarks
• you are doing autonomous driving perception research

When to avoid

• you need a production-ready lane detection SDK with deployment support
• you want the improved TPAMI 2022 version (use Ultra-Fast-Lane-Detection-v2)
• you need multi-task driving perception beyond lane detection

Facets

library · maturity maintenance

computer-vision machine-learning deep-learning autonomous-vehicles computer-vision deep-learning python lane-detection pytorch eccv-2020 autonomous-driving cnn research-code gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="cfzd/Ultra-Fast-Lane-Detection")