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相关论文: Multi-UAV trajectory planning for 3D visual inspec…

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This paper presents a new swarm intelligence-based approach to deal with the cooperative path planning problem of unmanned aerial vehicles (UAVs), which is essential for the automatic inspection of infrastructure. The approach uses a 3D…

系统与控制 · 电气工程与系统科学 2024-02-14 Duy Nam Bui , Thuy Ngan Duong , Manh Duong Phung

In this paper, we propose a cost-effective strategy for heterogeneous UAV swarm systems for cooperative aerial inspection. Unlike previous swarm inspection works, the proposed method does not rely on precise prior knowledge of the…

机器人学 · 计算机科学 2024-03-05 Xinhang Xu , Muqing Cao , Shenghai Yuan , Thien Hoang Nguyen , Thien-Minh Nguyen , Lihua Xie

Online path planning for multiple unmanned aerial vehicle (multi-UAV) systems is considered a challenging task. It needs to ensure collision-free path planning in real-time, especially when the multi-UAV systems can become very crowded on…

机器人学 · 计算机科学 2022-03-08 Huaxing Huang , Guijie Zhu , Zhun Fan , Hao Zhai , Yuwei Cai , Ze Shi , Zhaohui Dong , Zhifeng Hao

Inspecting indoor environments such as tunnels, industrial facilities, and construction sites is essential for infrastructure monitoring and maintenance. While manual inspection in these environments is often time-consuming and potentially…

机器人学 · 计算机科学 2025-04-15 Hanyu Jin , Zhefan Xu , Haoyu Shen , Xinming Han , Kanlong Ye , Kenji Shimada

Autonomous inspection of large geographical areas is a central requirement for efficient hazard detection and disaster management in future cyber-physical systems such as smart cities. In this regard, exploiting unmanned aerial vehicle…

系统与控制 · 计算机科学 2018-08-21 Momena Monwar , Omid Semiari , Walid Saad

We present a waypoint planning algorithm for an unmanned aerial vehicle (UAV) that is teamed with an unmanned ground vehicle (UGV) for the task of search and rescue in a subterranean environment. The UAV and UGV are teamed such that the…

机器人学 · 计算机科学 2021-02-12 Matteo De Petrillo , Jared Beard , Yu Gu , Jason N. Gross

For accomplishing a variety of missions in challenging environments, the capability of navigating with full autonomy while avoiding unexpected obstacles is the most crucial requirement for UAVs in real applications. In this paper, we…

机器人学 · 计算机科学 2020-12-29 Han Chen , Peng Lu

This article addresses the visual area coverage problem using a team of Unmanned Aerial Vehicles (UAVs). The UAVs are assumed to be equipped with a downward facing camera covering all points of interest within a circle on the ground. The…

系统与控制 · 计算机科学 2017-01-05 Sotiris Papatheodorou , Anthony Tzes , Yiannis Stergiopoulos

Safe navigation of Micro Aerial Vehicles (MAVs) requires not only obstacle-free flight paths according to a static environment map, but also the perception of and reaction to previously unknown and dynamic objects. This implies that the…

机器人学 · 计算机科学 2019-08-29 Matthias Nieuwenhuisen , Sven Behnke

Unmanned aerial vehicles (UAVs) are recognized as promising technologies for area coverage due to the flexibility and adaptability. However, the ability of a single UAV is limited, and as for the large-scale three-dimensional (3D) scenario,…

信号处理 · 电气工程与系统科学 2023-09-22 Jia He , Ziye Jia , Chao Dong , Junyu Liu , Qihui Wu , Jingxian Liu

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…

This article presents a three-dimensional nonlinear trajectory tracking control strategy for unmanned aerial vehicles (UAVs) in the presence of spatial constraints. As opposed to many existing control strategies, which do not consider…

系统与控制 · 电气工程与系统科学 2024-07-16 Saurabh Kumar , Shashi Ranjan Kumar , Abhinav Sinha

We present a multi-UAV Coverage Path Planning (CPP) framework for the inspection of large-scale, complex 3D structures. In the proposed sampling-based coverage path planning method, we formulate the multi-UAV inspection applications as a…

机器人学 · 计算机科学 2020-07-28 Wei Jing , Di Deng , Yan Wu , Kenji Shimada

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

This paper presents an adaptive coverage control method for a fleet of off-road and Unmanned Ground Vehicles (UGVs) operating in dynamic (time-varying) agricultural environments. Traditional coverage control approaches often assume static…

机器人学 · 计算机科学 2025-09-09 Sajad Ahmadi , Mohammadreza Davoodi , Javad Mohammadpour Velni

In response to the gap in considering wind conditions in the bridge inspection using unmanned aerial vehicle (UAV) , this paper proposes a path planning method for UAVs that takes into account the influence of wind, based on the simulated…

系统与控制 · 电气工程与系统科学 2024-03-25 Jian Xu , Hua Dai

The ability to efficiently plan and execute automated and precise search missions using unmanned aerial vehicles (UAVs) during emergency response situations is imperative. Precise navigation between obstacles and time-efficient searching of…

Unmanned Aerial Vehicle (UAV) spectral remote sensing technology is widely used in water quality monitoring. However, in dynamic environments, varying illumination conditions, such as shadows and specular reflection (sun glint), can cause…

机器人学 · 计算机科学 2026-03-23 Yuanshuang Fu , Qianyao Wang , Qihao Wang , Bonan Zhang , Jiaxin Zhao , Yiming Cao , Zhijun Li

Today, low-altitude fixed-wing Unmanned Aerial Vehicles (UAVs) are largely limited to primitively follow user-defined waypoints. To allow fully-autonomous remote missions in complex environments, real-time environment-aware navigation is…

机器人学 · 计算机科学 2017-12-12 Philipp Oettershagen , Florian Achermann , Benjamin Müller , Daniel Schneider , Roland Siegwart

Unmanned Aerial Vehicle (UAV) swarm systems necessitate efficient collaborative perception mechanisms for diverse operational scenarios. Current Bird's Eye View (BEV)-based approaches exhibit two main limitations: bounding-box…

计算机视觉与模式识别 · 计算机科学 2025-10-16 Zefu Lin , Wenbo Chen , Xiaojuan Jin , Yuran Yang , Lue Fan , Yixin Zhang , Yufeng Zhang , Zhaoxiang Zhang