AUV Search Target Research Based meta-heuristic algorithm

Li, Jianjun; Zhang, RuBo; Yu, Yang

doi:10.14257/astl.2014.79.05

Cited by 1 publication

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The given method enabled examination of a wide unknown region with realtime obstacle avoidance. This approach allowed a multi AUV system to maintain a spatial formation [191] .…”

Section: Fuzzy Logicmentioning

confidence: 99%

See 1 more Smart Citation

A Comprehensive Review of Path Planning Algorithms for Autonomous Underwater Vehicles

Panda

Subudhi

Pati

2020

Int. J. Autom. Comput.

148

View full text Add to dashboard Cite

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.

show abstract

“…The given method enabled examination of a wide unknown region with realtime obstacle avoidance. This approach allowed a multi AUV system to maintain a spatial formation [191] .…”

Section: Fuzzy Logicmentioning

confidence: 99%

“…•Solves multiple AUVs coordination problem for collaborative task allocation •Computational cost increases with the increase in problem scale Unpredictable QPSO [190,191] Time optimal Achieved Moderate…”

Section: Open Accessmentioning

confidence: 99%