
Overview
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.
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This is a publicly available data set. No subscription is required.
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AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- 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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How to cite
CANOE (Canadian Aquatic Navigation for Observation of the Environment) Dataset was accessed on DATE from https://registry.opendata.aws/canoe .
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