DOI QR코드

DOI QR Code

4D 환경정보를 반영한 광역 경로수정계획 기법에 관한 연구

An Approach to Global Path Replanning Method Considering 4D Environmental Information

  • 곽동준 (국방과학연구소 제5기술연구본부) ;
  • 신종호 (국방과학연구소 제5기술연구본부) ;
  • 김종희 (국방과학연구소 제5기술연구본부)
  • Kwak, Dong Jun (The 5th Research and Development Institute, Agency for Defense Development) ;
  • Shin, Jongho (The 5th Research and Development Institute, Agency for Defense Development) ;
  • Kim, Chong Hui (The 5th Research and Development Institute, Agency for Defense Development)
  • 투고 : 2016.05.09
  • 심사 : 2016.11.18
  • 발행 : 2016.12.05

초록

In this paper, a global path replanning method is proposed in order to plan a global path minimizing the risk of the unmanned vehicle on the battlefield. We first introduce 4D environmental information consisting of mobility, visibility, kill, and hit attributes, and a unified threat map and a mobility map are defined by the four attributes. Using the mobility map, the unmanned vehicle can find the shortest path on the traversable area. And then taking into account the deterrent according to the type of the unmanned vehicle on the integrated threat map, the vehicle can generate a route to suppress or avoid the threat of enemy as well. Moreover, we present a waypoints bypassing method to exclude unnecessary waypoints rather than the mission point when planning paths for the multiple waypoints.

키워드

참고문헌

  1. J. Choi, "Technology Development Trends and Challenges of Autonomous Vehicles by Major Countries and Companies," ICT & Media Policy, Vol. 28, No. 15, Issue 629, pp. 43-52, 2016.
  2. Google, "Google Self-Driving Car Project Monthly Report," March, 2016.
  3. H. W. Chun and S. J. Koe, "Policy Trends in Autonomous Vehicle," Electronics and Telecommunications Trends, Vol. 30, No. 5, pp. 129-137, October, 2015.
  4. Y. Park, C. Ryu, S. Kang and T. Choe, “Development Status of Multipurpose Dog-Horse Robot,” Journal of Korea Robotics Society, Vol. 4, No. 2, pp. 27-35, 2007.
  5. H. Lee, Y. Lee and M. Lee, "Mission Oriented Global Path Generation for Unmanned Combat Vehicle Based on the Mission Type and Multiple Grid Maps," Journal of the Korea Institute of Military Science and Technology, Vol. 13, No. 2, pp. 180-187, April, 2010.
  6. Y. Lee, H. Lee and Y. Park, "Local Path Planning Manager for Autonomous Navigation of UGV," Journal of the Korea Institute of Military Science and Technology, Vol. 13, No. 6, pp. 990-997, December, 2010.
  7. S. M. LaValle, "Planning Algorithms," Cambridge University Press, pp. 28-30, 2006.
  8. D. J. Kwak, J. Shin and C. H. Kim, "A Method to Utilize 4D Environmental Information for Global Path Replanning," KIMST Annual Conference Proceedings, pp. 1314-1315, 2016.
  9. Y. R. Tsai, L. Cheng, S. Osher, P. Burchard and G. Sapiro, "Visibility and its Dynamics in a PDE based Implicit Framework," Journal of Computational Physics, Vol. 199, Issue 1, pp. 260-290, 2004. https://doi.org/10.1016/j.jcp.2004.02.015
  10. S. Koenig and M. Likhachev, “Fast Replanning for Navigation in Unknown Terrain,” IEEE Transactions on Robotics, Vol. 21, No. 3, pp. 354-363, 2005. https://doi.org/10.1109/TRO.2004.838026