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    AG-LOAM Dataset

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    Sold by: Autonomous Robots and Control Systems Lab 
    Open data
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    Deployed on AWS
    AG-LOAM dataset has been released to facilitate the evaluation of LiDAR-based odometry algorithms in agricultural environments. 1) It was collected by a wheeled mobile robot at the Agricultural Experimental Station of the University of California, Riverside, during Winter 2022 and Winter 2023. 2) It provides LiDAR point cloud data captured using a Velodyne VLP-16 sensor, along with ground-truth trajectories obtained from an RTK-GPS system. 3) It consists of 18 sequences collected over three phases, covering diverse planting environments, terrain conditions, path patterns, and robot motion profiles. 4) It spans a total operation time of 3 hours, covers a total distance of 7.5 km, and constitutes 150 GB of data.

    Overview

    AG-LOAM dataset has been released to facilitate the evaluation of LiDAR-based odometry algorithms in agricultural environments.

    1. It was collected by a wheeled mobile robot at the Agricultural Experimental Station of the University of California, Riverside, during Winter 2022 and Winter 2023.
    2. It provides LiDAR point cloud data captured using a Velodyne VLP-16 sensor, along with ground-truth trajectories obtained from an RTK-GPS system.
    3. It consists of 18 sequences collected over three phases, covering diverse planting environments, terrain conditions, path patterns, and robot motion profiles.
    4. It spans a total operation time of 3 hours, covers a total distance of 7.5 km, and constitutes 150 GB of data.

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    Open Data Sponsorship Program

    This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
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    Usage information

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    Delivery details

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    Description
    AG-LOAM Dataset sequences
    Resource type
    S3 bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::ucr-robotics/ag-loam-dataset
    AWS region
    us-west-2
    AWS CLI access (No AWS account required)
    aws s3 ls --no-sign-request s3://ucr-robotics/ag-loam-dataset/

    Resources

    Vendor resources

    View this dataset on Github 

    Support

    Contact

    Hanzhe Teng (hteng007@ucr.edu ), Konstantinos Karydis (kkarydis@ece.ucr.edu )

    Managed By

    Autonomous Robots and Control Systems Lab 

    How to cite

    AG-LOAM Dataset was accessed on DATE from https://registry.opendata.aws/ag-loam .

    License

    Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).