cnzzx/GeMap

[ECCV'24] Online Vectorized HD Map Construction using Geometry

41
/ 100
Emerging

This project helps self-driving car engineers and researchers build highly accurate, detailed digital maps of urban road systems in real-time. It takes sensor data from autonomous vehicles (like cameras and LiDAR) and produces precise, vectorized High-Definition (HD) maps of lanes, intersections, and other road features. This is crucial for autonomous navigation and planning.

253 stars. No commits in the last 6 months.

Use this if you need to generate highly accurate and geometrically consistent vectorized HD maps on-the-fly from vehicle sensor data for autonomous driving applications.

Not ideal if you are looking for a pre-built mapping service or a solution for static, offline map generation rather than dynamic, real-time map construction.

autonomous-driving HD-mapping robotics-navigation vehicle-perception urban-planning
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 15 / 25

How are scores calculated?

Stars

253

Forks

26

Language

Python

License

Apache-2.0

Last pushed

Aug 28, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/cnzzx/GeMap"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.