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Improvement in Measurement Area of Three-Dimensional LiDAR Using Mirrors Mounted on Mobile Robots

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Field and Service Robotics

Part of the book series: Springer Proceedings in Advanced Robotics ((SPAR,volume 16))

Abstract

By installing omnidirectional measurement light detection and ranging (LiDAR) on a mobile robot, it is possible to acquire the surrounding environment. However, not all measurement areas of LiDAR can be used because of laser rays blocked by the robot’s body. Hence, in this research, the authors aim to expand the measurement area of LiDAR by installing mirrors at the blocked area to improve an ability of acquiring information regarding the front environment. The installation position and mirror angle can be determined from the desired area to be measured and the geometrical condition of the laser rays reflecting on the mirror. Moreover, based on the method, the robot enabled the collection of the surface information of stairs during stair climbing, which was typically difficult to gather.

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References

  1. Abiko, S., Sakamoto, Y., Hasegawa, T., Yuta, S., Shimaji, N.: Development of constant altitude flight system using two dimensional laser range finder with mirrors (2017). https://doi.org/10.1109/AIM.2017.8014121

  2. Endo, D., Watanabe, A., Nagatani, K.: Stair climbing control for 4-DOF tracked vehicle based on internal sensors. J. Robot. (2017). https://doi.org/10.1109/SSRR.2016.7784286

    Article  Google Scholar 

  3. Guo, J., Shi, J., Zhu, W., Wang, J.: Approach to autonomous stair climbing for tracked robot. In: 2017 IEEE International Conference on Unmanned Systems (ICUS), pp. 182–186 (2017). https://doi.org/10.1109/ICUS.2017.8278337

  4. Lee, H., Chung, W.: Terrain classification for mobile robots on the basis of support vector data description. Int. J. Precision Eng. Manufact. 19(9), 1305–1315 (2018). https://doi.org/10.1007/s12541-018-0154-4

    Article  Google Scholar 

  5. Noguchi, H., Handa, M., Fukui, R., Mori, T., Sato, T., Sanada, H.: Capturing device for dense point cloud of indoor people using horizontal LIDAR and pan rotation of vertical LIDAR with mirrors. In: IEEE/SICE International Symposium on System Integration (SII), pp. 428–433 (2012)

    Google Scholar 

  6. Ohno, K., Tadokoro, S., Nagatani, K., Koyanagi, E., Yoshida, T.: Trials of 3-D map construction using the tele-operated tracked vehicle kenaf at disaster city. In: 2010 IEEE International Conference on Robotics and Automation, pp. 2864–2870 (2010). https://doi.org/10.1109/ROBOT.2010.5509722

  7. Quigley, M., Conley, K., Gerkey, B., Faust, J., Foote, T., Leibs, J., Wheeler, R., Ng, A.Y.: Ros: an open-source robot operating system. In: ICRA Workshop on Open Source Software, vol. 3, p. 5. Kobe, Japan (2009)

    Google Scholar 

  8. Sinha, A., Papadakis, P.: Mind the gap: detection and traversability analysis of terrain gaps using LIDAR for safe robot navigation. Robotica 31, 1085–1101 (2013). https://doi.org/10.1017/S0263574713000349

    Article  Google Scholar 

  9. Transport Ministry of Land I, (MLIT) T (2014) Efforts to take a far-sighted vision of social infrastructures. http://www.mlit.go.jp/common/001063080.pdf

  10. Westfechtel, T., Ohno, K., Mertsching, B., Hamada, R., Nickchen, D., Kojima, S., Tadokoro, S.: Robust stairway-detection and localization method for mobile robots using a graph-based model and competing initializations. Int. J. Robot. Res. 37(12), 1463–1483 (2018). https://doi.org/10.1177/0278364918798039

    Article  Google Scholar 

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Acknowledgements

Mitsubishi Heavy Industries supported this work.

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Correspondence to Kazuki Matsubara .

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Matsubara, K., Nagatani, K. (2021). Improvement in Measurement Area of Three-Dimensional LiDAR Using Mirrors Mounted on Mobile Robots. In: Ishigami, G., Yoshida, K. (eds) Field and Service Robotics. Springer Proceedings in Advanced Robotics, vol 16. Springer, Singapore. https://doi.org/10.1007/978-981-15-9460-1_7

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