HXMap/HRMapNet

[ECCV 2024] This is the official implementation of HRMapNet, maintaining and utilizing a low-cost global rasterized map to enhance online vectorized map perception.

40
/ 100
Emerging

HRMapNet helps autonomous vehicle systems create highly accurate, up-to-date vectorized maps of their surroundings, which are critical for safe navigation. It takes real-time sensor data and combines it with a low-cost, historical map (derived from past perceptions) to produce a detailed vectorized map. This tool is for engineers and researchers developing self-driving car technology.

107 stars. No commits in the last 6 months.

Use this if you need to significantly improve the accuracy and robustness of your online vectorized map perception in autonomous driving systems.

Not ideal if you are working on mapping tasks unrelated to autonomous vehicle perception or if you do not have access to historical map data.

autonomous-driving self-driving-cars robotics-navigation vehicle-perception HD-mapping
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

107

Forks

16

Language

Python

License

MIT

Last pushed

Sep 25, 2024

Commits (30d)

0

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