The Generation of Directional Velocity Grid Map for Traversability Analysis of Unmanned Ground Vehicle

무인차량의 주행성분석을 위한 방향별 속도지도 생성

  • Published : 2009.10.05

Abstract

One of the basic technology for implementing the autonomy of UGV(Unmanned Ground Vehicle) is a path planning algorithm using obstacle and raw terrain information which are gathered from perception sensors such as stereo camera and laser scanner. In this paper, we propose a generation method of DVGM(Directional Velocity Grid Map) which have traverse speed of UGV for the five heading directions except the rear one. The fuzzy system is designed to generate a resonable traveling speed for DVGM from current patch to the next one by using terrain slope, roughness and obstacle information extracted from raw world model data. A simulation is conducted with world model data sampled from real terrain so as to verify the performance of proposed fuzzy inference system.

Keywords

References

  1. Elfes, A., 'Using Occupancy Grids for Mobile Robot Perception and Navigation', IEEE Computer Magazine, 1989 https://doi.org/10.1109/2.30720
  2. Ye, C., & Borenstein, J., 'T-transformation: Traversability Analysis for Navigation on Rugged Terrain', the Defense and Security Symposium, 2004
  3. H. Seraji and A. Howard, E. Tunstel, 'Safe Navigation on Hazardous Terrain', Proc. of the 2001 IEEE Int. Conf. on Robotics and Automation, pp. 3084-3091, 2001 https://doi.org/10.1109/ROBOT.2001.933091
  4. A. Howard, H. Seraji and E. Tunstel, 'A Rule-based Fuzzy Traversability Index for Mobile Robot Navigation', Proc. of the 2001 IEEE Int. Conf. on Robotics and Automation, 2001 https://doi.org/10.1109/ROBOT.2001.933088
  5. H. Seraji and B. Bon, 'Multi-range Traversability Indices for Terrain-Based Navigation', Proc. of the 2002 IEEE Int. Conf. on Robotics and Automation, pp. 2674-2681, 2002 https://doi.org/10.1109/ROBOT.2002.1013635
  6. N. Yokoya and K. Yamamoto, 'Fractal-Based Analysis and Interpolation of 3D Natural Surfaces and Their Application to Terrain Modeling', Computer Vision, Graphic, and Image Processing, Vol. 46, pp. 284-302, 1989 https://doi.org/10.1016/0734-189X(89)90034-0
  7. D. Langer, J. K. Rosenblatt and M. Hebert, 'A Behavior-Based System for Off-Road Navigation', IEEE Trans. Robotics and Automation, Vol. 10, No. 6, pp. 776-783, 1994 https://doi.org/10.1109/70.338532
  8. R. Hoffman and E. Krotkov, 'Terrain Roughness Measurements from Elevation Maps', SPIE Mobile Robots, Vol. 1195, 1989
  9. 진강규, 이현식, 이윤형, 소명옥, 신옥근, 채정숙, 이영일, '지형 고도 맵으로부터 기울기와 거칠기 추출 방법', 제어로봇시스템학회, Vol. 14, pp. 909-915, 2008
  10. H. Seraji, 'Traversability Index : A New Concept for Planetary Robers', Proc. of the 1999 IEEE Int. Conf. on Robotics and Automation, pp. 2006-2013, 1999
  11. L. Huajun, Y. Jingyu and Z. Chunxia, 'A Generic Approach to Rugged Terrain Analysis Based on Fuzzy Inference', Proc. of the 8th Int. Conf. on Control, Automation, Robotics and Vision, pp. 1108-1113, 2004 https://doi.org/10.1109/ICARCV.2004.1468999
  12. M Castelnovi, R. C. Arkin and T. R. Collins, 'Reactive Speed Control System Based on Terrain Roughness Detection', http://smartech. gatech.edu/handle/1853/20784
  13. 진강규, 이현식, 이윤형, 이영일, '지형 고도 맵으로부터 Binary 장애물 탐지', 2008년도 한국군사과학기술학회 종합학술대회논문집, pp. 1081-1084, 2008. 8
  14. Bryan Nage and Alonzo Kelly, 'Trajectory Generation for Car-like Robots Using Cubic Curvature Plynomials', Robotics Institute, Carnegie Mellon University, 2001