The Journal of Korea Robotics Society (로봇학회논문지)

Korea Robotics Society (한국로봇학회)
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GPS Error Filtering using Continuity of Path for Autonomous Mobile Robot in Orchard Environment

과수원 환경에서 자율주행로봇을 위한 경로 연속성 기반 GPS오정보 필터링 연구

  • Received : 2023.12.15
  • Accepted : 2024.01.16
  • Published : 2024.02.29
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Abstract

This paper studies a GPS error filtering method that takes into account the continuity of the ongoing path to enhance the safety of autonomous agricultural mobile robots. Real-Time Kinematic Global Positioning System (RTK-GPS) is increasingly utilized for robot position evaluation in outdoor environments due to its significantly higher reliability compared to conventional GPS systems. However, in orchard environments, the robot's current position obtained from RTK-GPS information can become unstable due to unknown disturbances like orchard canopies. This problem can potentially lead to navigation errors and path deviations during the robot's movement. These issues can be resolved by filtering out GPS information that deviates from the continuity of the waypoints traversed, based on the robot's assessment of its current path. The contributions of this paper is as follows. 1) The method based on the previous waypoints of the traveled path to determine the current position and trajectory. 2) GPS filtering method based on deviations from the determined path. 3) Finally, verification of the navigation errors between the method applying the error filter and the method not applying the error filter.

Keywords

Acknowledgement

This research was supported in part by the Korea Evaluation Institute of Industrial Technology (20018401), Republic of Korea

References

  1. A. Bechar and C. Vigneault, "Agricultural robots for field operations: Concepts and components," Biosystems Engineering, vol. 149, pp. 94-111, Sept., 2016, DOI: 10.1016/j.biosystemseng.2016.06.014. 
  2. S. Fountas, N. Mylonas, L. Malounas, E. Rodias, C. H. Santos, and E. Pekkeriet, "Agricultural Robotics for Field Operations," Seonsors, vol. 20, no. 9, pp. 2672-2699, May, 2020, DOI: 10.3390/s20092672. 
  3. K. G. Fue, W. M. Porter, E. M. Barnes, and G. C. Rains, "An Extensive Review of Mobile Agricultural Robotics for Field Operations: Focus on Cotton Harvesting," AgriEngineering, vol. 2, no. 1, pp. 150-174, Mar., 2020, DOI: 10.3390/agriengineering2010010. 
  4. K.-H. Jo, J.-H. Lee, and C.-S. Jang, "Cooperative Localization in 2D for Multiple Mobile Robots by Optimal Fusion of Odometer and Inexpensive GPS data," The Journal of Korea Robotics Society, vol. 2, no. 3, pp. 255-261, Sept., 2007, [Online], https://koreascience.kr/article/JAKO200723736028084.paget. 
  5. H. Gil, D. Lee, G. Song, S. An, and A. Kim, "Tightly-Coupled GNSS-LiDAR-Inertial State Estimator for Mapping and Autonomous Driving," The Journal of Korea Robotics Society, vol. 18, no. 1, pp. 72-81, Feb., 2023, DOI: 10.7746/jkros.2023.18.1.072. 
  6. H. K. Tripathy, S. Mishra, H. K. Thakkar, and D. Rai, "CARE: A Collision-Aware Mobile Robot Navigation in Grid Environment using Improved Breadth First Search," Computers & Electrical Engineering, vol. 94, pp. 10737-107347, Sept., 2021, DOI: 10.1016/j.compeleceng.2021.107327. 
  7. D. Atunggal, B. Ma'ruf, T. A. Sunantyo, and C. A. Rokhmana, "Evaluation on the performance of single and dual frequency low cost GPS module observation using geodetic antenna," Communications in Science and Technology, vol. 3, no. 1, pp. 9-14, 2018, DOI: 10.21924/cst.3.1.2018.78.