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The 3rd Workshop on Maritime Computer Vision (MaCVi) 2025 addresses maritime computer vision for Unmanned Surface Vehicles (USV) and underwater. This report offers a comprehensive overview of the findings from the challenges. We provide…

Small-sized unmanned surface vehicles (USV) are coastal water devices with a broad range of applications such as environmental control and surveillance. A crucial capability for autonomous operation is obstacle detection for timely reaction…

计算机视觉与模式识别 · 计算机科学 2022-02-10 Borja Bovcon , Jon Muhovič , Duško Vranac , Dean Mozetič , Janez Perš , Matej Kristan

With the advancement of maritime unmanned aerial vehicles (UAVs) and deep learning technologies, the application of UAV-based object detection has become increasingly significant in the fields of maritime industry and ocean engineering.…

计算机视觉与模式识别 · 计算机科学 2023-11-16 Chenjie Zhao , Ryan Wen Liu , Jingxiang Qu , Ruobin Gao

Unmanned Aerial Vehicles (UAVs) are of crucial importance in search and rescue missions in maritime environments due to their flexible and fast operation capabilities. Modern computer vision algorithms are of great interest in aiding such…

计算机视觉与模式识别 · 计算机科学 2021-10-20 Leon Amadeus Varga , Benjamin Kiefer , Martin Messmer , Andreas Zell

Multi-Object Tracking is one of the most important technologies in maritime computer vision. Our solution tries to explore Multi-Object Tracking in maritime Unmanned Aerial vehicles (UAVs) and Unmanned Surface Vehicles (USVs) usage…

计算机视觉与模式识别 · 计算机科学 2023-11-15 Kaer Huang , Weitu Chong

Obstacle detection plays an important role in unmanned surface vehicles (USV). The USVs operate in highly diverse environments in which an obstacle may be a floating piece of wood, a scuba diver, a pier, or a part of a shoreline, which…

计算机视觉与模式识别 · 计算机科学 2015-03-09 Matej Kristan , Vildana Sulic , Stanislav Kovacic , Janez Pers

With the advantage of high mobility, Unmanned Aerial Vehicles (UAVs) are used to fuel numerous important applications in computer vision, delivering more efficiency and convenience than surveillance cameras with fixed camera angle, scale…

计算机视觉与模式识别 · 计算机科学 2018-04-03 Dawei Du , Yuankai Qi , Hongyang Yu , Yifan Yang , Kaiwen Duan , Guorong Li , Weigang Zhang , Qingming Huang , Qi Tian

Autonomous maritime surveillance and target vessel identification in environments where Global Navigation Satellite Systems (GNSS) are not available is critical for a number of applications such as search and rescue and threat detection.…

计算机视觉与模式识别 · 计算机科学 2025-07-11 Antonella Barisic Kulas , Frano Petric , Stjepan Bogdan

Developing a robust and effective obstacle detection and tracking system for Unmanned Surface Vehicle (USV) at marine environments is a challenging task. Research efforts have been made in this area during the past years by GRAAL lab at the…

机器人学 · 计算机科学 2025-11-12 Yara AlaaEldin , Enrico Simetti , Francesca Odone

This article describes the 2023 IEEE Low-Power Computer Vision Challenge (LPCVC). Since 2015, LPCVC has been an international competition devoted to tackling the challenge of computer vision (CV) on edge devices. Most CV researchers focus…

Vision-based target tracking is crucial for unmanned surface vehicles (USVs) to perform tasks such as inspection, monitoring, and surveillance. However, real-time tracking in complex maritime environments is challenging due to dynamic…

计算机视觉与模式识别 · 计算机科学 2026-02-26 Muhayy Ud Din , Ahsan B. Bakht , Waseem Akram , Yihao Dong , Lakmal Seneviratne , Irfan Hussain

How can we effectively engineer a computer vision system that is able to interpret videos from unconstrained mobility platforms like UAVs? One promising option is to make use of image restoration and enhancement algorithms from the area of…

计算机视觉与模式识别 · 计算机科学 2020-11-23 Sreya Banerjee , Rosaura G. VidalMata , Zhangyang Wang , Walter J. Scheirer

Unmanned Surface Vehicles (USVs) have emerged as a major platform in maritime operations, capable of supporting a wide range of applications. USVs can help reduce labor costs, increase safety, save energy, and allow for difficult unmanned…

计算机视觉与模式识别 · 计算机科学 2024-12-03 Linh Trinh , Siegfried Mercelis , Ali Anwar

Visual perception is an important component for autonomous navigation of unmanned surface vessels (USV), particularly for the tasks related to autonomous inspection and tracking. These tasks involve vision-based navigation techniques to…

计算机视觉与模式识别 · 计算机科学 2023-08-09 Muhayyuddin Ahmed , Ahsan Baidar Bakht , Taimur Hassan , Waseem Akram , Ahmed Humais , Lakmal Seneviratne , Shaoming He , Defu Lin , Irfan Hussain

Unmanned surface vehicles (USVs) and boats are increasingly important in maritime operations, yet their deployment is limited due to costly sensors and complexity. LiDAR, radar, and depth cameras are either costly, yield sparse point clouds…

计算机视觉与模式识别 · 计算机科学 2025-01-13 Benjamin Kiefer , Yitong Quan , Andreas Zell

Recently, there has been an upsurge in the research on maritime vision, where a lot of works are influenced by the application of computer vision for Unmanned Surface Vehicles (USVs). Various sensor modalities such as camera, radar, and…

计算机视觉与模式识别 · 计算机科学 2023-11-21 Linh Trinh , Ali Anwar , Siegfried Mercelis

Marine robots, particularly Unmanned Surface Vessels (USVs), have gained considerable attention for their diverse applications in maritime tasks, including search and rescue, environmental monitoring, and maritime security. This paper…

Unmanned Aerial Vehicles (UAVs) are known for their fast and versatile applicability. With UAVs' growth in availability and applications, they are now of vital importance in serving as technological support in search-and-rescue(SAR)…

计算机视觉与模式识别 · 计算机科学 2024-09-18 Xiaomin Lin , Cheng Liu , Allen Pattillo , Miao Yu , Yiannis Aloimonous
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