tum-traffic-dataset/tum-traffic-dataset-dev-kit
TUM Traffic Dataset Development Kit
This kit helps researchers and engineers working on autonomous driving and intelligent traffic systems to load and process the TUM Traffic Dataset. It takes raw roadside sensor data, including camera images, LiDAR point clouds, and their associated object labels and calibration information, and provides tools to integrate and visualize them. The end user is typically a mobility researcher, automotive engineer, or AI developer focused on urban or highway traffic perception.
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Use this if you are working with the TUM Traffic Dataset and need a streamlined way to load, visualize, and prepare its camera, LiDAR, and labeled object data for analysis or algorithm development.
Not ideal if you are looking for a general-purpose traffic simulation tool or if your primary interest is in vehicle-side sensor data rather than roadside infrastructure data.
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Language
Python
License
MIT
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Last pushed
Mar 26, 2025
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