Chalmers-Formula-Student/coneScenes
A LiDAR dataset with 3D annotated cones for Formula Student Driverless teams
This dataset provides 3D annotated cone data from LiDAR pointclouds, specifically for Formula Student driverless teams. It helps engineers develop and test perception algorithms for autonomous race cars by providing realistic cone scene data as input, which then helps the car 'see' the track. Formula Student driverless teams and autonomous vehicle researchers would use this.
Use this if you are a Formula Student driverless team or researcher developing perception algorithms that need accurately labeled 3D cone data from LiDAR scans to train and validate your systems.
Not ideal if you need a dataset that is actively being developed or maintained, or if you are not prepared to contribute your own data to gain full access.
Stars
31
Forks
—
Language
Python
License
GPL-3.0
Category
Last pushed
Feb 11, 2026
Commits (30d)
0
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