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Distance Sensor and Wheel Encoder Sensor Fusion Method for Gyroscope Calibration Cover

Distance Sensor and Wheel Encoder Sensor Fusion Method for Gyroscope Calibration

Open Access
|Dec 2021

References

  1. [1] T. Zhang, Y. Kang, M. Achtelik, K. Kuhnlenz, and M. Buss, “Autonomous hovering of a vision/IMU guided quadrotor,” in 2009 International Conference on Mechatronics and Automation, Changchun, China, Aug. 2009, pp. 2870–2875. https://doi.org/10.1109/ICMA.2009.524642210.1109/ICMA.2009.5246422
  2. [2] S. Kuutti, S. Fallah, K. Katsaros, M. Dianati, F. Mccullough, and A.Mouzakitis, “A survey of the state-of-the-art localization techniques and their potentials for autonomous vehicle applications,” IEEE Internet of Things Journal, vol. 5, no. 2, pp. 829–846, Mar. 2018. https://doi.org/10.1109/JIOT.2018.281230010.1109/JIOT.2018.2812300
  3. [3] M. B. Alatise and G. P. Hancke, “A review on challenges of autonomous mobile robot and sensor fusion methods,” IEEE Access, vol. 8, pp. 39830–39846, Feb. 2020. https://doi.org/10.1109/ACCESS.2020.297564310.1109/ACCESS.2020.2975643
  4. [4] W. Lee, K. Eckenhoff, Y. Yang, P. Geneva, and G. Huang, “Visual-inertial-wheel odometry with online calibration,” in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, 2020, pp. 4559–4566. https://doi.org/10.1109/IROS45743.2020.934116110.1109/IROS45743.2020.9341161
  5. [5] H. Tang, Y. Liu, and L. Li, “Simultaneous calibration of odometry and camera extrinsic for a differential driven mobile robot,” in 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), Zhuhai, China, Dec. 2015, pp. 2246–2251. https://doi.org/10.1109/ROBIO.2015.741910810.1109/ROBIO.2015.7419108
  6. [6] C. Jung and W. Chung, “Accurate calibration of two wheel differential mobile robots by using experimental heading errors,” in 2012 IEEE International Conference on Robotics and Automation, Saint Paul, MN, USA, June 2012, pp. 4533–4538. https://doi.org/10.1109/ICRA.2012.622466010.1109/ICRA.2012.6224660
  7. [7] D. Tedaldi, A. Pretto, and E. Menegatti, “A robust and easy to implement method for IMU calibration without external equipments,” in 2014 IEEE International Conference on Robotics and Automation, Hong Kong, China, Sep. 2014, pp. 3042–3049. https://doi.org/10.1109/ICRA.2014.690729710.1109/ICRA.2014.6907297
  8. [8] C. Cadena et al., “Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age,” IEEE Transactions on Robotics, vol. 32, no. 6, pp. 1309–1332, Dec. 2016. https://doi.org/10.1109/TRO.2016.262475410.1109/TRO.2016.2624754
  9. [9] G. Balamurugan, J. Valarmathi, and V. P. S. Naidu, “Survey on UAV navigation in GPS denied environments,” in 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), Paralakhemundi, India, Oct. 2016, pp. 198–204. https://doi.org/10.1109/SCOPES.2016.795578710.1109/SCOPES.2016.7955787
  10. [10] J. Liu, W. Gao, and Z. Hu, “Visual-inertial odometry tightly coupled with wheel encoder adopting robust initialisation and online extrinsic calibration,” in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, Nov. 2019, pp. 5391–5397. https://doi.org/10.1109/IROS40897.2019.896760710.1109/IROS40897.2019.8967607
  11. [11] M. Bloesch, S. Omari, M. Hutter, and R. Siegwart, “Robust visual inertial odometry using a direct EKF-based approach,” in 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, Oct. 2015, pp. 298–304. https://doi.org/10.1109/IROS.2015.735338910.1109/IROS.2015.7353389
  12. [12] J. Rohac, M. Sipos, and J. Simanek, “Calibration of lowcost triaxial inertial sensors,” IEEE Instrumentation Measurement Magazine, vol. 18, no. 6, pp. 32–38, 2015. https://doi.org/10.1109/MIM.2015.733583610.1109/MIM.2015.7335836
  13. [13] M. Ekmanis, “Self-calibration in differential drive dynamics/kinematics model,” Applied Mathematics, Computational Science and Systems Engineering, pp. 54–59, 2013.
  14. [14] J. J. Hall and R. L. Williams, “Case study: Inertial measurement unit calibration platform,” Journal of Robotic Systems, vol. 17, no. 11, pp. 623–632, Nov. 2000. https://doi.org/10.1002/1097-4563(200011)17:11<623::AIDROB4>3.0.CO;2-710.1002/1097-4563(200011)17:11<623::AID-ROB4>3.0.CO;2-7
  15. [15] J. Lv, A. A. Ravankar, Y. Kobayashi, and T. Emaru, “A method of low-cost IMU calibration and alignment,” in 2016 IEEE/SICE International Symposium on System Integration (SII), Sapporo, Japan, Dec. 2016, pp. 373–378. https://doi.org/10.1109/SII.2016.784402710.1109/SII.2016.7844027
  16. [16] F. Tungadi and L. Kleeman, “Time synchronisation and calibration of odometry and range sensors for high-speed mobile robot mapping.” in Proc. of the Australasian Conference on Robotics and Automation 2008, Australia: Australian Robotics and Automation Association (ARAA), 2008, pp. 1–8.
  17. [17] S. M. LaValle, “Differential models,” in Planning Algorithms, Cambridge University Press, 2006, p. 590–650. https://doi.org/10.1017/CBO9780511546877.01710.1017/CBO9780511546877.017
  18. [18] Z. Diao, H. Quan, L. Lan, and Y. Han, “Analysis and compensation of mems gyroscope drift,” in 2013 Seventh International Conference on Sensing Technology (ICST), Wellington, New Zealand, Dec. 2013, pp. 592–596. https://doi.org/10.1109/ICSensT.2013.672772210.1109/ICSensT.2013.6727722
  19. [19] “Lsm6ds33 datasheet,” 2017. [Online]. Available on: www.st.com
  20. [20] O. J. Woodman, “An introduction to inertial navigation,” University of Cambridge, Research report 696, Aug. 2007. [Online]. Available on: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.63.7402
  21. [21] N. El-Sheimy, H. Hou, and X. Niu, “Analysis and modeling of inertial sensors using Allan variance,” IEEE Transactions on Instrumentation and Measurement, vol. 57, no. 1, pp. 140–149, Jan. 2008. https://doi.org/10.1109/TIM.2007.90863510.1109/TIM.2007.908635
  22. [22] J. Lv, J. Xu, K. Hu, Y. Liu, and X. Zuo, “Targetless calibration of LIDAR-IMU system based on continuous-time batch estimation,” in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA, 2020, pp. 9968–9975. https://doi.org/10.1109/IROS45743.2020.934140510.1109/IROS45743.2020.9341405
  23. [23] R. Siegwart, I. R. Nourbakhsh, and D. Scaramuzza, “Locomotion,” Introduction to Autonomous Mobile Robots, 2011, pp. 13–56.
DOI: https://doi.org/10.2478/acss-2021-0009 | Journal eISSN: 2255-8691 | Journal ISSN: 2255-8683
Language: English
Page range: 71 - 79
Published on: Dec 30, 2021
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2021 Aleksandrs Koršunovs, Valters Vēciņš, Vilnis Juris Turkovs, published by Riga Technical University
This work is licensed under the Creative Commons Attribution 4.0 License.