Boreas Autonomous Driving Dataset

autonomous vehicles computer vision lidar robotics

Description

This autonomous driving dataset includes data from a 128-beam Velodyne Alpha-Prime lidar, a 5MP Blackfly camera, a 360-degree Navtech radar, and post-processed Applanix POS LV GNSS data. This dataset was collect in various weather conditions (sun, rain, snow) over the course of a year. The intended purpose of this dataset is to enable benchmarking of long-term all-weather odometry and metric localization across various sensor types. In the future, we hope to also support an object detection benchmark.

Update Frequency

New driving sequences will be added as they are collected.

License

CC BY-NC-SA 4.0

Documentation

https://github.com/utiasASRL/pyboreas/blob/master/DATA_REFERENCE.md

Managed By

See all datasets managed by ASRL.

Contact

boreas@robotics.utias.utoronto.ca

How to Cite

Boreas Autonomous Driving Dataset was accessed on DATE from https://registry.opendata.aws/boreas.

Usage Examples

Tutorials
Publications

Resources on AWS

  • Description
    Boreas dataset
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::boreas
    AWS Region
    us-west-2
    AWS CLI Access (No AWS account required)
    aws s3 ls s3://boreas/ --no-sign-request

Edit this dataset entry on GitHub

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