johnwlambert/tbv

Official Repo of NeurIPS '21: "Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection"

44
/ 100
Emerging

This project helps autonomous vehicle engineers detect when real-world conditions diverge from their high-definition (HD) maps. By inputting sensor data from vehicle fleets and existing HD map data, it identifies changes like new lane markings or construction, outputting precise locations where the map needs updating. It's designed for AV map developers and operations teams to maintain map accuracy for safe navigation.

No commits in the last 6 months.

Use this if you need to automatically identify discrepancies between real-time sensor data from autonomous vehicles and your existing high-definition maps.

Not ideal if you are looking for a general-purpose mapping tool or a solution for standard GPS navigation systems.

autonomous-vehicles HD-mapping map-maintenance fleet-operations geospatial-data
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 19 / 25

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Stars

83

Forks

17

Language

Python

License

Last pushed

Apr 22, 2023

Commits (30d)

0

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