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pit30m

README.md

The Aurora Multi-Sensor Dataset

Originally announced in an IROS 2020 paper titled Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars, the Aurora Multi-Sensor Dataset is a dataset containing camera and LiDAR data collected by a fleet of self-driving vehicles at unprecedented scale. The dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC 4.0).

To learn more and get started with the dataset, check out our Python software development kit. The project website at https://pit30m.github.io/ contains additional information and visualizations.

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  1. pit30m pit30m Public

    The Python SDK for the Pit30M large scale visual localization dataset.

    Python 15 1

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  • pit30m Public

    The Python SDK for the Pit30M large scale visual localization dataset.

    pit30m/pit30m’s past year of commit activity
    Python 15 MIT 1 23 4 Updated Jul 9, 2024
  • .github Public
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  • pit30m.github.io Public

    Pit30M dataset website

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    Svelte 0 0 0 0 Updated Jul 23, 2023

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