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Ana Rita Gaspar and Aníbal Matos
Some structures in the harbour environment need to be inspected regularly. However, these scenarios present a major challenge for the accurate estimation of a vehicle?s position and subsequent recognition of similar images. In these scenarios, visibility...
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Moon Hwan Kim, Teasuk Yoo, Seok Joon Park and Kyungwon Oh
Autonomous Underwater Vehicles (AUVs) have emerged as pivotal tools for intricate underwater missions, spanning seafloor exploration to meticulous inspection of subsea infrastructures such as pipelines and cables. Although terrestrial obstacle avoidance ...
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Zuodong Pan, Wei Guo, Hongming Sun, Yue Zhou and Yanjun Lan
To ensure the safety and energy efficiency of autonomous sampling operations for a deep-sea landing vehicle (DSLV), the Safety Energy-Dynamic Window Approach (SE-DWA) algorithm was proposed. The safety assessment sub-function formed from the warning obst...
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Wei Gao, Mengxue Han, Zhao Wang, Lihui Deng, Hongjian Wang and Jingfei Ren
A UUV can perform tasks such as underwater surveillance, reconnaissance, surveillance, and tracking by being equipped with sensors and different task modules. Due to the complex underwater environment, the UUV must have good collision avoidance planning ...
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Xiaokai Mu, Guan Yue, Nan Zhou and Congcong Chen
Simultaneous localization and mapping (SLAM) is an active localization method for Autonomous Underwater Vehicle (AUV), and it can mainly be used in unknown and complex areas such as coastal water, harbors, and wharfs. This paper presents a practical occu...
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Sergey Ulyanov, Igor Bychkov and Nikolay Maksimkin
The paper addresses path planning and path-following problems in an unknown complex environment for an underactuated autonomous underwater vehicle (AUV). The AUV is required to follow a given reference path represented as a sequence of smoothly joined li...
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