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CANOE (Canadian Aquatic Navigation for Observation of the Environment) Dataset

autonomous vehicles computer vision lidar radar robotics

Description

This autonomous marine navigation dataset includes data from a 360-degree Navtech radar, a 128-beam Ouster OS1 lidar with integrated IMU, a Teledyne Bumblebee stereo camera, Oculus M3000d imaging sonar, motor inputs, and GNSS. This dataset was collected on a lake and reservoir in Ontario, Canada. The intended purpose of this dataset is to enable the development and benchmarking of autonomous navigation algorithms in aquatic environments. In the future, we hope to release localization and odometry benchmarks.

Update Frequency

New sequences will be added as they are collected.

License

CC BY 4.0

Documentation

https://github.com/utiasASRL/pycanoe/blob/main/DATA_REFERENCE.md

Managed By

Autonomous Space Robotics Laboratory (ASRL)

See all datasets managed by Autonomous Space Robotics Laboratory (ASRL).

Contact

canoe@robotics.utias.utoronto.ca

How to Cite

CANOE (Canadian Aquatic Navigation for Observation of the Environment) Dataset was accessed on DATE from https://registry.opendata.aws/canoe.

Usage Examples

Tutorials

Resources on AWS

  • Description
    Canoe Dataset
    Resource type
    S3 Bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::canoe-data
    AWS Region
    us-west-2
    AWS CLI Access (No AWS account required)
    aws s3 ls --no-sign-request s3://canoe-data/
  • Description
    Notifications for new canoe data
    Resource type
    SNS Topic
    Amazon Resource Name (ARN)
    arn:aws:sns:us-west-2:455373446640:canoe-data-object_created
    AWS Region
    us-west-2

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