A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles

doi:10.1007/s11633-019-1204-9

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	A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles
	Madhusmita Panda 1; Bikramaditya Das 1; Bidyadhar Subudhi 2; Bibhuti Bhusan Pati 3
发表期刊	International Journal of Automation and Computing
ISSN	1476-8186
	2020
卷号	17 期号:3 页码:321-352
摘要	The underwater path planning problem deals with finding an optimal or sub-optimal route between an origin point and a termination point in marine environments. The underwater environment is still considered as a great challenge for the path planning of autonomous underwater vehicles (AUVs) because of its hostile and dynamic nature. The major constraints for path planning are limited data transmission capability, power and sensing technology available for underwater operations. The sea environment is subjected to a large set of challenging factors classified as atmospheric, coastal and gravitational. Based on whether the impact of these factors can be approximated or not, the underwater environment can be characterized as predictable and unpredictable respectively. The classical path planning algorithms based on artificial intelligence assume that environmental conditions are known apriori to the path planner. But the current path planning algorithms involve continual interaction with the environment considering the environment as dynamic and its effect cannot be predicted. Path planning is necessary for many applications involving AUVs. These are based upon planning safety routes with minimum energy cost and computation overheads. This review is intended to summarize various path planning strategies for AUVs on the basis of characterization of underwater environments as predictable and unpredictable. The algorithms employed in path planning of single AUV and multiple AUVs are reviewed in the light of predictable and unpredictable environments.
关键词	Autonomous underwater vehicle (AUV) cooperative motion formation control optimization path planning (PP).
DOI	10.1007/s11633-019-1204-9
引用统计	被引频次：95[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/42284
专题	学术期刊_Machine Intelligence Research
作者单位	1.Department of Electronics and Telecommunication, Veer Surendra Sai University of Technology, Burla 768018, India 2.School of Electrical Sciences, Indian Institute of Technology, Goa 403401, India 3.Department of Electrical Engineering, Veer Surendra Sai University of Tecnlogy, Burla 768018, India
推荐引用方式 GB/T 7714	Madhusmita Panda,Bikramaditya Das,Bidyadhar Subudhi,et al. A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles[J]. International Journal of Automation and Computing,2020,17(3):321-352.
APA	Madhusmita Panda,Bikramaditya Das,Bidyadhar Subudhi,&Bibhuti Bhusan Pati.(2020).A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles.International Journal of Automation and Computing,17(3),321-352.
MLA	Madhusmita Panda,et al."A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles".International Journal of Automation and Computing 17.3(2020):321-352.

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