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Unmanned aerial vehicles (UAVs) are widely used platforms to carry data capturing sensors for various applications. The reason for this success can be found in many aspects: the high maneuverability of the UAVs, the capability of performing…

计算机视觉与模式识别 · 计算机科学 2023-05-18 Mehdi Maboudi , MohammadReza Homaei , Soohwan Song , Shirin Malihi , Mohammad Saadatseresht , Markus Gerke

This paper addresses path planning of an unmanned aerial vehicle (UAV) with remote sensing capabilities (or wireless communication capabilities). The goal of the path planning is to find a minimum-flight-time closed tour of the UAV visiting…

机器人学 · 计算机科学 2016-12-20 Dae-Sung Jang , Hyeok-Joo Chae , Han-Lim Choi

An important open problem in robotic planning is the autonomous generation of 3D inspection paths -- that is, planning the best path to move a robot along in order to inspect a target structure. We recently suggested a new method for…

人工智能 · 计算机科学 2019-01-23 Kai Olav Ellefsen , Herman A. Lepikson , Jan C. Albiez

This paper addresses a UAV path planning task that seeks to observe a set of objects while satisfying the observation quality constraint. A dynamic programming algorithm is proposed that enables the UAV to observe the target objects with…

机器人学 · 计算机科学 2024-11-12 Jiawei Wang , Weiwei Wu , Yijing Wang , Yan Lyu , Vincent Chau

Tunnel construction using the drill-and-blast method requires the 3D measurement of the excavation front to evaluate underbreak locations. Considering the inspection and measurement task's safety, cost, and efficiency, deploying lightweight…

机器人学 · 计算机科学 2024-01-17 Zhefan Xu , Baihan Chen , Xiaoyang Zhan , Yumeng Xiu , Christopher Suzuki , Kenji Shimada

Autonomous robotic inspection, where a robot moves through its environment and inspects points of interest, has applications in industrial settings, structural health monitoring, and medicine. Planning the paths for a robot to safely and…

The Unmanned Aerial Vehicle (UAV) path planning problem is a complex optimization problem in the field of robotics. In this paper, we investigate the possible utilization of this problem in benchmarking global optimization methods. We…

神经与进化计算 · 计算机科学 2025-01-27 Mhd Ali Shehadeh , Jakub Kudela

This work addresses the path planning problem for a group of unmanned aerial vehicles (UAVs) to maintain a desired formation during operation. Our approach formulates the problem as an optimization task by defining a set of fitness…

机器人学 · 计算机科学 2025-01-17 Van Truong Hoang , Manh Duong Phung

In this paper, a new demonstration-based path-planning framework for the visual inspection of large structures using UAVs is proposed. We introduce UPPLIED: UAV Path PLanning for InspEction through Demonstration, which utilizes a…

Unmanned aerial vehicles (UAVs) are being employed in many areas such as photography, emergency, entertainment, defence, agriculture, forestry, mining and construction. Over the last decade, UAV technology has found applications in numerous…

机器人学 · 计算机科学 2022-08-30 L. V. Nguyen , I. Torres Herrera , T. H. Le , M. D. Phung , R. P. Aguilera , Q. P. Ha

This paper addresses the problem of crack detection which is essential for health monitoring of built infrastructure. Our approach includes two stages, data collection using unmanned aerial vehicles (UAVs) and crack detection using…

系统与控制 · 计算机科学 2019-01-04 Manh Duong Phung , Van Truong Hoang , Tran Hiep Dinh , Quang Ha

Visual inspection is a crucial yet time-consuming task across various industries. Numerous established methods employ machine learning in inspection tasks, necessitating specific training data that includes predefined inspection poses and…

机器人学 · 计算机科学 2023-12-06 O. Tasneem , R. Pieters

We present the first scene-update aerial path planning algorithm specifically designed for detecting and updating change areas in urban environments. While existing methods for large-scale 3D urban scene reconstruction focus on achieving…

机器人学 · 计算机科学 2025-05-14 Mingfeng Tang , Ningna Wang , Ziyuan Xie , Jianwei Hu , Ke Xie , Xiaohu Guo , Hui Huang

Unmanned Aerial Vehicles (UAVs) represent a new frontier in a wide range of monitoring and research applications. To fully leverage their potential, a key challenge is planning missions for efficient data acquisition in complex…

机器人学 · 计算机科学 2020-01-10 Marija Popovic , Teresa Vidal-Calleja , Gregory Hitz , Jen Jen Chung , Inkyu Sa , Roland Siegwart , Juan Nieto

Efficient trajectory generation in complex dynamic environments remains an open problem in the unmanned surface vehicle (USV). The perception of the USV is usually interfered with by the swing of the hull and the ambient weather, making it…

机器人学 · 计算机科学 2023-01-31 Tao Huang , Zhe Chen , Wang Gao , Zhenfeng Xue , Yong Liu

Uncrewed aerial vehicles (UAVs) are increasingly used for exploration-driven monitoring in hazardous environments such as disaster zones, contaminated sites, wildfire areas, and damaged infrastructure, where limited flight endurance must be…

机器人学 · 计算机科学 2026-05-28 Jimin Choi , Grant Stagg , Cameron K. Peterson , Max Z. Li

Unmanned Aerial Vehicles (UAVs) are emerging as very important tools in search and rescue (SAR) missions at sea, enabling swift and efficient deployment for locating individuals or vessels in distress. The successful execution of these…

机器人学 · 计算机科学 2024-10-10 Martin Messmer , Andreas Zell

Wind power is a clean and widely deployed alternative to reducing our dependence on fossil fuel power generation. Under this trend, more turbines will be installed in wind farms. However, the inspection of the turbines in an offshore wind…

最优化与控制 · 数学 2020-06-18 Hwei-Ming Chung , Sabita Maharjan , Yan Zhang , Frank Eliassen , Kai Strunz

With the number of small Unmanned Aircraft Systems (sUAS) in the national airspace projected to increase in the next few years, there is growing interest in a traffic management system capable of handling the demands of this aviation…

机器人学 · 计算机科学 2019-11-07 Andrew W. Berning , Anouck Girard , Ilya Kolmanovsky , Sarah N. D'Souza

The ability to efficiently plan and execute search missions in challenging and complex environments during natural and man-made disasters is imperative. In many emergency situations, precise navigation between obstacles and time-efficient…