Zobrazeno 1 - 10
of 453
pro vyhledávání: '"underwater object detection"'
Publikováno v:
Alexandria Engineering Journal, Vol 104, Iss , Pp 423-433 (2024)
In the realm of underwater object detection, conventional methodologies often encounter challenges in accurately identifying and detecting small targets. These difficulties stem primarily from the intricate nature of underwater environments, suboptim
Externí odkaz:
https://doaj.org/article/9dc5a1076cbd4184a3df90d840f00246
Publikováno v:
Alexandria Engineering Journal, Vol 108, Iss , Pp 694-705 (2024)
With the advancement of Internet of Things (IoT) technology, underwater target detection and tracking have become increasingly important for ocean monitoring and resource management. Existing methods often fall short in handling high-noise and low-co
Externí odkaz:
https://doaj.org/article/6a7641fe97804087a6cdc1995f69d01f
Autor:
Jiangfan Feng, Tao Jin
Publikováno v:
Ecological Informatics, Vol 82, Iss , Pp 102758- (2024)
Advances in underwater recording and processing systems have highlighted the need for automated methods dedicated to the accurate detection and tracking of small underwater objects in imagery. However, the unique characteristics of underwater optical
Externí odkaz:
https://doaj.org/article/e2c97cb49fe24ed78f35c129fb256514
Publikováno v:
JES: Journal of Engineering Sciences, Vol 52, Iss 2, Pp 73-86 (2024)
Among the various challenges in underwater exploration, the identification and classification of objects, especially metallic items, hold significant importance in diverse contexts. This paper introduces a comprehensive algorithmic framework leveragi
Externí odkaz:
https://doaj.org/article/a53c5ebeb0b543a191caa24fa38abe7c
Autor:
Jinyu Ou, Yijun Shen
Publikováno v:
IEEE Access, Vol 12, Pp 105165-105177 (2024)
Underwater target detection has developed greatly in recent years. However, the accuracy of underwater target detection is limited by the complex underwater environment. Based on YOLOv7, we propose an underwater object detection algorithm model to im
Externí odkaz:
https://doaj.org/article/845a14e3eb27418c9b1ee44d8487557b
Autor:
Anwar Khan, Mostafa M. Fouda, Dinh-Thuan Do, Abdulaziz Almaleh, Abdullah M. Alqahtani, Atiq Ur Rahman
Publikováno v:
IEEE Access, Vol 12, Pp 12618-12635 (2024)
This paper provides a study of the latest target (object) detection algorithms for underwater wireless sensor networks (UWSNs). To ensure selection of the latest and state-of-the-art algorithms, only algorithms developed in the last seven years are t
Externí odkaz:
https://doaj.org/article/5eeaa1813ea24a3e99363376a8f8f8fb
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7162 (2024)
The You Only Look Once (YOLO) series of object detection models is widely recognized for its efficiency and real-time performance, particularly under the challenging conditions of underwater environments, characterized by insufficient lighting and vi
Externí odkaz:
https://doaj.org/article/1f884a5119344e7ca516b7d68109dfda
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 2, Pp 101971- (2024)
Underwater object detection has been shown to exhibit significant potential for exploring underwater environments. However, underwater datasets often suffer from degeneration due to uneven underwater light distribution, complex underwater environment
Externí odkaz:
https://doaj.org/article/911d3b70a5534e4283d6d74cea614f11
Autor:
Guanbo Feng, Zhixin Xiong, Hongshuai Pang, Yunlei Gao, Zhiqiang Zhang, Jiapeng Yang, Zhihong Ma
Publikováno v:
Fishes, Vol 9, Iss 8, p 294 (2024)
Underwater object detection is essential for the advancement of automated aquaculture operations. Addressing the challenges of low detection accuracy and insufficient generalization capabilities for underwater targets, this paper focuses on the devel
Externí odkaz:
https://doaj.org/article/65e161374bf549ad912379489dc8ef5e
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 7, p 1110 (2024)
This study develops a YOLO (You Only Look Once)-based 3D perception algorithm for UVMS (Underwater Vehicle-Manipulator Systems) for precise object detection and localization, crucial for enhanced grasping tasks. The object detection algorithm, YOLOv5
Externí odkaz:
https://doaj.org/article/c84f1de0da4a4146a9914abcfaa23815