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相关论文: Research on an Autonomous UAV Search and Rescue Sy…

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Utilizing autonomous drones or unmanned aerial vehicles (UAVs) has shown great advantages over preceding methods in support of urgent scenarios such as search and rescue (SAR) and wildfire detection. In these operations, search efficiency…

机器人学 · 计算机科学 2022-11-30 Mohammadjavad Khosravi , Rushiv Arora , Saeede Enayati , Hossein Pishro-Nik

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

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

This paper tackles the challenge of autonomous target search using unmanned aerial vehicles (UAVs) in complex unknown environments. To fill the gap in systematic approaches for this task, we introduce Star-Searcher, an aerial system…

机器人学 · 计算机科学 2024-03-22 Yiming Luo , Zixuan Zhuang , Neng Pan , Chen Feng , Shaojie Shen , Fei Gao , Hui Cheng , Boyu Zhou

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

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…

This paper proposes a path planning algorithm for multi-agent unmanned aircraft systems (UASs) to autonomously cover a search area, while considering obstacle avoidance, as well as the capabilities and energy consumption of the employed…

系统与控制 · 电气工程与系统科学 2025-04-07 Sebastian Gasche , Christian Kallies , Andreas Himmel , Rolf Findeisen

An important capability of autonomous Unmanned Aerial Vehicles (UAVs) is autonomous landing while avoiding collision with obstacles in the process. Such capability requires real-time local trajectory planning. Although trajectory-planning…

机器人学 · 计算机科学 2021-11-19 Yossi Magrisso , Ehud Rivlin , Hector Rotstein

Advances in unmanned aerial vehicle (UAV) design have opened up applications as varied as surveillance, firefighting, cellular networks, and delivery applications. Additionally, due to decreases in cost, systems employing fleets of UAVs…

Aerial scans with unmanned aerial vehicles (UAVs) are becoming more widely adopted across industries, from smart farming to urban mapping. An application area that can leverage the strength of such systems is search and rescue (SAR)…

机器人学 · 计算机科学 2023-04-12 Phuoc Nguyen Thuan , Jorge Peña Queralta , Tomi Westerlund

In this work, our goal is to extend the existing search and rescue paradigm by allowing teams of autonomous unmanned aerial vehicles (UAVs) to collaborate effectively with human searchers on the ground. We derive a framework that includes a…

机器人学 · 计算机科学 2020-09-10 Barnabas Gavin Cangan , Larkin Heintzman , Amanda Hashimoto , Nicole Abaid , Ryan K. Williams

For intelligent quadcopter UAVs, a robust and reliable autonomous planning system is crucial. Most current trajectory planning methods for UAVs are suitable for static environments but struggle to handle dynamic obstacles, which can pose…

机器人学 · 计算机科学 2023-12-29 Jiageng Zhong , Ming Li , Yinliang Chen , Zihang Wei , Fan Yang , Haoran Shen

Autonomous exploration is a fundamental problem for various applications of unmanned aerial vehicles(UAVs). Existing methods, however, are demonstrated to static local optima and two-dimensional exploration. To address these challenges,…

机器人学 · 计算机科学 2023-10-25 Weiye Zhang , Wenshuai Yu , Licong Zhuang , Xiaoyi Zhang , Zhi Zeng , Jiasong Zhu

This paper presents a novel algorithm to plan energy-efficient trajectories for autonomous ornithopters. In general, trajectory optimization is quite a relevant problem for practical applications with \emph{Unmanned Aerial Vehicles} (UAVs).…

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…

Unmanned Aerial Vehicles (UAVs) equipped with bioradars are a life-saving technology that can enable identification of survivors under collapsed buildings in the aftermath of natural disasters such as earthquakes or gas explosions. However,…

机器人学 · 计算机科学 2024-03-08 Mayank Mittal , Rohit Mohan , Wolfram Burgard , Abhinav Valada

Autonomous exploration is one of the important parts to achieve the autonomous operation of Unmanned Aerial Vehicles (UAVs). To improve the efficiency of the exploration process, a fast and autonomous exploration planner (FAEP) is proposed…

机器人学 · 计算机科学 2022-02-28 Yinghao Zhao , Li Yan , Yu Chen , Hong Xie , Bo Xu

In this paper, we explore the application of Unmanned Aerial Vehicles (UAVs) in maritime search and rescue (mSAR) missions, focusing on medium-sized fixed-wing drones and quadcopters. We address the challenges and limitations inherent in…

机器人学 · 计算机科学 2024-03-22 Martin Messmer , Benjamin Kiefer , Leon Amadeus Varga , Andreas Zell

Target search with unmanned aerial vehicles (UAVs) is relevant problem to many scenarios, e.g., search and rescue (SaR). However, a key challenge is planning paths for maximal search efficiency given flight time constraints. To address…

机器人学 · 计算机科学 2019-02-28 Ajith Anil Meera , Marija Popovic , Alexander Millane , Roland Siegwart

Unmanned aerial vehicles (UAVs) are increasingly utilized in global search and rescue efforts, enhancing operational efficiency. In these missions, a coordinated swarm of UAVs is deployed to efficiently cover expansive areas by capturing…

机器人学 · 计算机科学 2024-05-21 Sina Kazemdehbashi , Yanchao Liu
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