ag-loam.yaml

Name: AG-LOAM Dataset
Description: |
  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.
Documentation: https://github.com/UCR-Robotics/AG-LOAM
Contact: Hanzhe Teng (hteng007@ucr.edu), Konstantinos Karydis (kkarydis@ece.ucr.edu)
ManagedBy: "[Autonomous Robots and Control Systems Lab](https://sites.google.com/view/arcs-lab)"
UpdateFrequency: NA
Tags:
  - aws-pds
  - robotics
  - agriculture
  - lidar
  - localization
  - mapping
License: Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).
Resources:
  - Description: AG-LOAM Dataset sequences
    ARN: arn:aws:s3:::ucr-robotics/ag-loam-dataset
    Region: us-west-2
    Type: S3 Bucket
DataAtWork:
  Tools & Applications:
    - Title: Source code of the LiDAR-only odometry and mapping system
      URL: https://github.com/UCR-Robotics/AG-LOAM
      AuthorName: Hanzhe Teng et al.
  Publications:
    - Title: Adaptive LiDAR Odometry and Mapping for Autonomous Agricultural Mobile Robots in Unmanned Farms
      URL: https://www.sciencedirect.com/science/article/pii/S0168169925001292
      AuthorName: Hanzhe Teng, Yipeng Wang, Dimitrios Chatziparaschis, Konstantinos Karydis
    - Title: Adaptive LiDAR Odometry and Mapping for Autonomous Agricultural Mobile Robots in Unmanned Farms
      URL: https://arxiv.org/abs/2412.02899
      AuthorName: Hanzhe Teng, Yipeng Wang, Dimitrios Chatziparaschis, Konstantinos Karydis