DOI QR코드

DOI QR Code

K-9자주포의 자율주행 및 자주포 무인화 기술의 타당성 검토

A Feasibility Study of Autonomous Driving and Unmanned Technology of Self-Propelled Artillery, K-9

  • 구건우 (경상국립대학교 항공우주및소프트웨어공학부) ;
  • 윤동호 (한국생산기술연구원)
  • Koo, Keon-Woo ;
  • Yun, Dong-Ho (Korea Institute of Industrial Technology Senam Division Smart Mobility Materials & Components Research Group)
  • 투고 : 2021.07.29
  • 심사 : 2021.10.17
  • 발행 : 2021.10.31

초록

현재 대한민국의 인구절벽 현상으로 인한 한국군의 군 병력부족으로 대한민국의 심각한 국방 공백이 발생될 수 있는 상황이다. 따라서 인구감소로 인한 대한민국의 국방 공백을 해결하기 위해 한국군은 보병을 제외한 기계화 부대에 재편된 인원을 축소시키고 자율주행화하여 국방 공백을 상쇄해 유사시 북한군이 한국군에게 행할 수 있는 군사적 도발 및 선제공격에 대비하는 정책을 펼칠 가능성이 있다. 본 논문에서는 우리 군이 기계화 부대에 재편된 자주포와 같은 무기체계들에 있어 자동화와 자율주행화로 인원을 감축시킬 때 K-9자주포의 자율주행 및 진지 배치에 관한 운용 가능성을 확인하고 K-9자주포의 자율주행화와 이에 따른 운용방법과 그 필요성 및 타당성을 간단한 자율주행이 가능한 K-9자주포 모형 로봇으로 위의 내용을 모사하여 설명하였다. 그리고 자율주행이 가능한 실제 K-9자주포를 실전에 배치하였을 때 나타날 수 있는 문제점을 예측하여 서술하였다.

Currently, due to the demographic cliff phenomenon in Republic of Korea, A serious defense vacuum could occur due to the lack of South Korean military's personal strength. As a result, The South Korean military has a possibility to implement the polices the prepare for military provocations and preemptive strikes by the North Korean military while resolving the South Korean defense vacuum caused by the shrinking population. It seems like that the only way for the South Korean military to solve the shortage of personal strength due to the population decline is to reduce the number of Mechanized Units(MU) other than, infantry and automate, and autonomous driving the weapons system of the Mechanized Units(MU). In this paper, we propose the use of the virtual autonomous driving of the self propelled artillery K-9's in self selection of the position and occupation of position and self positioning in the position. At the same time in this paper, the self propelled artillery K-9 model robot is used to simulate and the explain about the operation method, necessity and feasibility in the self propelled artillery K-9. In addition, this paper predicted the problems that would arise if the South Korean military deployed autonomous driving self propelled K-9, in real combat.

키워드

과제정보

본 논문은 2021년도 한국생산기술연구원 (KITECH)의 지원으로 수행되었음.

참고문헌

  1. S. Jang, "A Study on The Need to Develop a Next-Generation K9 Through Opportunity Analysis," J. of Advances in Military Studies, vol. 3, no. 3, 2020, pp. 25-42. https://doi.org/10.37944/jams.v3i3.93
  2. S. Shin, "North Korean's Nuclear and Long Range Missile Development It's Implication for Northeast Asia," The J. of Strategic Studies, vol. 17, no. 1, 2010, pp. 133-163.
  3. H. Kim, "A Study on Development of the Military Intelligence Affairs which Apply Advances Information Capabilities -Focused on the Works of the Tactical Echelon ASIC-," Korea J. of Military Affairs, no. 2, 2017, pp. 103-145.
  4. H. Cho, "The Study on Recent Structural Change of Ground Forces of North Army & Follow-up Measures of SKA : Based on Mechanized Troops and Light Infantry Troops," The Quarterly J. of Defense Policy, vol. 29, no. 3, 2013, pp. 33-63.
  5. K. Kim and J. Seo, "The Present Tense and Future The World Best Artillery K-9," Defense&Technology, no. 485, July, 2019. pp.76-81
  6. Korea Defense Industry Association Editorial Staff, "K9 Self-Propelled Artillery Project Finishing : Strengthening Artillery Forces by Improving the Combat Capacity and Survival of the Korean Military, K-9," Defense&Technology, no. 502, Dec, 2020. pp.76-81
  7. S. Park and M. Lee, "Optimal Allocation Heuristic Method of Military Engineering Equipments During Artillery Position Construction operation," Society of Korea Industrial and Systems Engineering, vol. 40, no. 1, 2017, pp. 11-21. https://doi.org/10.11627/jkise.2017.40.1.011
  8. J. Hong, "A study for the possibility of Reducing the Size of Battery position," J. of The Military Operations Research Society of Korea, vol. 18, no. 1, 1992, pp. 74-85.
  9. H. Hyeong, "Evaluation of Defense Reform 2.0 and Future Challenges," Report, 2020.
  10. J. Cho and M. G. Lee, "Optimum Allocation Model of Military Engineer Equipments for Artillery Position Development," Korean Mangement Science Review, vol. 32, no. 2, 2017, pp. 103-113.
  11. M. Ahn and I. Choi, "Study on shortest Time Artillery Position Construction Plan," J. of The Korea Academia-Industrial Cooperation Society, vol. 17, no. 6, 2016, pp. 103-113. https://doi.org/10.5762/KAIS.2016.17.3.103
  12. Y. Lee, J. Park, H. Chung, and K. Kim, "A Data Augmentation Methodology for Predicting the Association of Microbiome Community and Diseases Based on Artificial Intelligence," J. of the Institute of Electronics and Information Engineers, vol. 58, no. 3, 2021, pp. 59-66.
  13. D. Choe and D. Kim, "Deep Learning-based Image Data Processing and Archival System for Object Detection of Endangered Species," J. of Information and Communication Convergence Engineering, vol. 18, no. 4, 2020, pp. 267-277. https://doi.org/10.6109/JICCE.2020.18.4.267
  14. J. Choi and J. Kim, "Prediction of Wind Power Generation using Deep Learning," The Journal of The Korea Institute of Electronic Communication Sciences, vol. 16, no. 2, 2021, pp. 329-338. https://doi.org/10.13067/JKIECS.2021.16.2.329
  15. J. Jeong, J. Kim, H. Lee, J. Kim, E. Seong, S. Song, and J. Han, "Avoid Over fitting of R3D Networks using Dropout," The Korea Institute of Information and Communication Engineering Conf., vol. 24, no. 1, 2020, pp. 426-430.
  16. S. Moon and S. Han, "3D Map Generation System for Indoor Autonomous Navigation," Aerospace Engineering and Technology, vol. 11, no. 2, 2012, pp. 140-148.
  17. H. Kim and Y. Choi, "Development of a LiDAR Sensor-based Small Autonomous Driving Robot for Underground Mines and Indoor Driving Experiments," J. of Korean Society Miner and Energy Resource Engineers, vol. 56, no. 5, 2019, pp. 407-415. https://doi.org/10.32390/ksmer.2019.56.5.407
  18. T. Kim, J. Choi, Y. Lee, and H. Choi, "VFH+ based Obstacle Avoidance using Monocular Vision of Unmanned Surface Vehicle," J. of Ocean Engineering and Technology, vol. 30, no. 5, 2019, pp. 426-430. https://doi.org/10.5574/KSOE.2016.30.5.426