SOLVING THE FAILING TRACK MARKER PROBLEM IN AUTOMATED GUIDED VEHICLE SYSTEMS – A CASE STUDY

Bandyopadhyay S.: Intelligent Vehicles and Materials Transportation in the Manufacturing Sector: Emerging Research and Opportunities. IGI Global 2017.
DOI: https://doi.org/10.4018/978-1-5225-3064-0   Google Scholar

Campion G., Bastin G., D’Andréa-Novel B.: Structural properties and classification of kinematic and dynamic models of wheeled mobile robots. Proceedings IEEE International Conference on Robotics and Automation (IEEE) 1993, [http://doi.org/10.1109/ROBOT.1993.292023].
DOI: https://doi.org/10.1109/ROBOT.1993.292023   Google Scholar

Clausing D.: Taguchi methods to improve the development process. IEEE International Conference on Communications – Spanning the Universe 2, 1988 826–832, [http://doi.org/10.1109/ICC.1988.13674].
DOI: https://doi.org/10.1109/ICC.1988.13674   Google Scholar

Deming W. E.: Sample Design in Business Research. Wiley-Interscience, 1990.
  Google Scholar

Dreyfus S.: An Appraisal of Some Shortest-Path Algorithms. Operations Research 17(3), 1969, [http://doi.org/10.1287/opre.17.3.395].
DOI: https://doi.org/10.1287/opre.17.3.395   Google Scholar

Ismail A. H., Ramli H. R., Ahmad M. H., Marhaban M. H.: Vision-based system for line following mobile robot. IEEE Symposium on Industrial Electronics & Applications 2009, 642–645, [http://doi.org/10.1109/ISIEA.2009.5356366].
DOI: https://doi.org/10.1109/ISIEA.2009.5356366   Google Scholar

Lee J-W., Choi S-U., Lee C-H., Lee Y-J., Lee K-S: A study for AGV steering control and identification using vision system. IEEE International Symposium on Industrial Electronics Proceedings 3, 2001, 1575–1578 (Cat. No. 01TH8570), [http://doi.org/10.1109/ISIE.2001.931941].
DOI: https://doi.org/10.1109/ISIE.2001.931941   Google Scholar

Leitner S. H., Mahnke W.: OPC UA–service-oriented architecture for industrial applications. ABB Corporate Research Center 48, 2006, 61–66.
  Google Scholar

Li L., Schultze L.: Comparison and Evaluation of SLAM Algorithms for AGV Navigation. F.-J. Villmer, E. Padoano (Eds.): Department of Production Engineering and Management. Production Engineering and Management. Lemgo 2018.
  Google Scholar

Pang Y., De La Cruz A. L., Lodewijks G.: Bipolar magnetic positioning system for automated guided vehicles. IEEE Intelligent Vehicles Symposium 2008, 883–888, [http://doi.org/10.1109/IVS.2008.4621228].
DOI: https://doi.org/10.1109/IVS.2008.4621228   Google Scholar

Park J., Kim J. Y., Kim B., Kim S.: Global Map Generation using LiDAR and Stereo Camera for Initial Positioning of Mobile Robot. International Conference on Information and Communication Technology Robotics (ICT-ROBOT), 2018, 1–4, [http://doi.org/10.1109/ICT-ROBOT.2018.8549897].
DOI: https://doi.org/10.1109/ICT-ROBOT.2018.8549897   Google Scholar

Park J., Lee J., Park Y., Kim S. W.: AGV parking system based on tracking landmark. 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology 2009, 340–343 [http://doi.org/10.1109/ECTICON.2009.5137022].
DOI: https://doi.org/10.1109/ECTICON.2009.5137022   Google Scholar

Quan S., Chen J.: AGV Localization Based on Odometry and LiDAR. 2nd World Conference on Mechanical Engineering and Intelligent Manufacturing 2019, 483–486, [http://doi.org/10.1109/WCMEIM48965.2019.00102].
DOI: https://doi.org/10.1109/WCMEIM48965.2019.00102   Google Scholar

Ray K. A., Gupta M., Behera L., Jamshidi M.: Sonar based Autonomous Automatic Guided Vehicle (AGV) navigation. IEEE International Conference on Systems and System Engineering 2008, 1–6,[http://doi.org/10.1109/SYSOSE.2008.4724179].
DOI: https://doi.org/10.1109/SYSOSE.2008.4724179   Google Scholar

Wiklund U., Andersson U., Hyyppä K.: AGV navigation by angle measurements. Automated guided vehicle systems: Proceedings of the 6th International Conference 1988, 199–212.
  Google Scholar

Wang D., Low C. B.: Modeling Skidding and Slipping in Wheeled Mobile Robots: Control Design Perspective. IEEE/RSJ International Conference on Intelligent Robots and Systems 2006, 1867–1872,[http://doi.org/10.1109/IROS.2006.282309].
DOI: https://doi.org/10.1109/IROS.2006.282309   Google Scholar