A Review on Design and Characteristics of Landmine Detection Robot
Vikas Panwar, Imran Moujan, Aman Kazi, Pratik Kale, Satyam Rode, Anish Pandey, Shyam Mogal
- 发表年份
- 2024
- 引用次数
- 3
- 访问权限
- 开放获取
摘要
Landmines are underground explosive devices that explode when humans, vehicles, or animals pass them. Manual landmine detection is dangerous, time-consuming, and limited in difficult terrain. Mobility, flexibility to different terrains, precision, and real-time data processing are essential for landmine detection robots (LDR). Advanced sensor fusion and machine learning methods improve detection accuracy. Real-time data processing allows fast analysis and decisionmaking for mine detection and safe demining. Remote operation and autonomous functionalism improve these robots' productivity and safety, reducing human exposure to dangerous locations. The various kinds of LDR are described and illustrated in this article. The design considerations that render these robots appropriate for these duties have been prioritized. The necessary components and methods for autonomous navigation have been examined in light of the landmine detection mechanism and technologies.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002