DOI QR코드

DOI QR Code

Grid Map Building based on Reliability Model of Sonar Data

초음파 데이터의 신뢰도 모델 기반 지도 작성

  • Received : 2011.07.26
  • Accepted : 2011.11.15
  • Published : 2011.12.01

Abstract

This paper proposes a novel approach to building an occupancy grid map using sonar data. It is very important for a mobile robot to recognize and construct its surrounding environments for navigation. However, the grid map constructed by ultrasonic sensors cannot represent a realistic shape of given environments due to incorrect sonar measurements caused by specular reflection. To overcome this problem, we propose an advanced sonar sensor model which consists of distance and shape factors used to determine the reliability of sensor data. Through this sensor model, a robot can build a high-quality grid map. The proposed method was verified by various experiments and showed that the robot could build an accurate map with sonar data in various indoor environments.

Keywords

References

  1. Y. K. Choi, W. S. Choi, and J. B. Song, "Obstacle avoidance of a mobile robot using low-cost ultrasonic sensors with wide beam angle," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 15, no. 11, pp. 1102-1107, Nov. 2009. https://doi.org/10.5302/J.ICROS.2009.15.11.1102
  2. J. T. Park and J. B. Song, "Efficient exploration for room finding using wall-following based path planning," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 15, no. 12, pp. 1232-1239, Dec. 2009. https://doi.org/10.5302/J.ICROS.2009.15.12.1232
  3. H. P. Moravec and A. Elfes, "High resolution maps from wide angle sonar," Proc. IEEE Int. Conf. on Robotics and Autonomous, pp. 116-121, 1985.
  4. D. W. Cho and H. P. Moravec, "A bayesian method for certainty grids," AAAI Spring Symposium on Robot Navigation, pp. 55-60, 1990.
  5. J. H. Lim and D. W. Cho, "Specular reflection probability in the certainty grid representation," Journal of Dynamic Systems, Measurement, and Control, vol. 116, pp. 512-520. Sep. 1994. https://doi.org/10.1115/1.2899246
  6. Y. C. Lee, J. H. Lim, and D. W. Cho, "Sonar map construction for autonomous mobile robots using data association filter," The Transactions of the Korean Institute of Electrical Engineers (in Korean), vol. 54D, no 9, pp. 539-546, Sep. 2005.
  7. S. Thrun, W. Burgard, and D. Fox, Probabilistic Robotics, The MIT Press, Cambridge, 2005.
  8. A. Elfes, "Using occupancy grids for mobile robot perception and navigation," IEEE Journal of Computer, vol. 22, pp. 46-57, Jun. 1989.
  9. H. Choset, K. M. Lynch, S. Hutchinson, G. Kantor, W. Burgard, L. E. Kavraki, and S. Thrun, Principles of Robot Motion: Theory, Algorithms, and Implementations, The MIT Press, Boston, 2005.

Cited by

  1. Impulse Noise Removal of LRF for 3D Map Building Using a Hybrid Median Filter vol.18, pp.10, 2012, https://doi.org/10.5302/J.ICROS.2012.18.10.970