Ubiquitous sensing of marine activities via the cooperation of autonomous underwater vehicles.

Journal: Scientific reports
Published Date:

Abstract

Effective monitoring of marine activities is essential for optimizing the marine operations, ensuring the safety and protecting the marine environment. However, the existing monitoring approaches still have the problems of low intelligence, high cost and poor reliability. This article attempts to employ autonomous underwater vehicles (AUVs) to develop a ubiquitous monitoring system for marine activities. Particularly, it mainly includes AUVs, human operator, onshore cameras, and wireless communication networks. With the wireless communication networks, the human operator in the control center assigns monitoring tasks to AUVs and onshore cameras. After that, the cameras mounted on AUVs and shore collect the images of surface target (e.g., ship or buoy), such that the target attitudes can be estimated by using deep learning technology. For underwater target (e.g., shipwreck or drowning person), sonars are mounted on AUVs to carry out water depth detection. Finally, experimental results are provided to verify the effectiveness of our system. These results provide evidence that the AUV-assisted monitoring system can improve the reliability and reduce the cost over the manual monitoring system.

Authors

  • Jing Yan
    Department of Neurology, Shanghai Pudong New Area People's Hospital, Shanghai, China.
  • Yuehang Jiang
    Department of Electrical Engineering, Hebei Key Laboratory of Industrial Computer Control Engineering, Qinhuangdao, 066004, China. [email protected].
  • Xinxin Wang
    School of Science, Tianjin University of Commerce, Tianjin 300134, China.
  • Jianyu Yu
    Department of Electrical Engineering, Hebei Key Laboratory of Industrial Computer Control Engineering, Qinhuangdao, 066004, China.
  • Xian Yang
  • Cailian Chen
    Department of Automation, Shanghai Jiao Tong University, Shanghai, China.
  • Xinping Guan
    Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China. Electronic address: [email protected].

Keywords

No keywords available for this article.