CEA-LIST/tri3d
A unified interface to various 3D driving datasets
This tool helps autonomous vehicle engineers and researchers work with diverse 3D driving datasets like Waymo or NuScenes. It takes raw sensor data (images, LiDAR point clouds) and 3D object annotations from these datasets, unifying them into a common format and coordinate system. The output is standardized sensor frames, timestamps, poses, and bounding box data, simplifying analysis and model development across different data sources.
Use this if you need to access, process, and compare data from multiple autonomous driving datasets with consistent conventions and simplified geometric transformations.
Not ideal if you only work with a single, specialized dataset and don't require interchangeable data formats or complex geometric transformations between sensors.
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15
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1
Language
Python
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Category
Last pushed
Nov 18, 2025
Commits (30d)
0
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