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Wild-land fire fighting is a hazardous job. A key task for firefighters is to observe the "fire front" to chart the progress of the fire and areas that will likely spread next. Lack of information of the fire front causes many accidents.…

机器人学 · 计算机科学 2018-03-22 Huy Xuan Pham , Hung Manh La , David Feil-Seifer , Matthew Dean

Wildland fire fighting is a very dangerous job, and the lack of information of the fire front is one of main reasons that causes many accidents. Using unmanned aerial vehicle (UAV) to cover wildfire is promising because it can replace human…

机器人学 · 计算机科学 2017-04-11 Huy X. Pham , Hung M. La , David Feil-Seifer , Matthew Deans

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

This paper presents a UAV swarm system designed to assist first responders in disaster scenarios like wildfires. By distributing sensors across multiple agents, the system extends flight duration and enhances data availability, reducing the…

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

Current state of the art in the field of UAV activation relies solely on human operators for the design and adaptation of the drones' flying routes. Furthermore, this is being done today on an individual level (one vehicle per operators),…

人工智能 · 计算机科学 2016-11-18 Yaniv Altshuler , Alex Pentland , Shlomo Bekhor , Yoram Shiftan , Alfred Bruckstein

Wildfires are destructive and inflict massive, irreversible harm to victims' lives and natural resources. Researchers have proposed commissioning unmanned aerial vehicles (UAVs) to provide firefighters with real-time tracking information;…

机器人学 · 计算机科学 2019-03-19 Esmaeil Seraj , Andrew Silva , Matthew Gombolay

In this paper, we address the problem of collision avoidance for a swarm of UAVs used for continuous surveillance of an urban environment. Our method, LSwarm, efficiently avoids collisions with static obstacles, dynamic obstacles and other…

Fighting wildfires is a precarious task, imperiling the lives of engaging firefighters and those who reside in the fire's path. Firefighters need online and dynamic observation of the firefront to anticipate a wildfire's unknown…

系统与控制 · 电气工程与系统科学 2020-06-16 Esmaeil Seraj , Matthew Gombolay

The advancement in cyber-physical systems has opened a new way in disaster management and rescue operations. The usage of UAVs is very promising in this context. UAVs, mainly quadcopters, are small in size and their payload capacity is…

分布式、并行与集群计算 · 计算机科学 2024-05-02 Arindam Majee , Rahul Saha , Snehasish Roy , Srilekha Mandal , Sayan Chatterjee

Monitoring crop fields to map features like weeds can be efficiently performed with unmanned aerial vehicles (UAVs) that can cover large areas in a short time due to their privileged perspective and motion speed. However, the need for…

Multiple fixed-wing unmanned aerial vehicles (multi-UAVs) encounter significant challenges in cooperative path following over complex Digital Elevation Model (DEM) low-altitude airspace, including wind field disturbances, sudden obstacles,…

机器人学 · 计算机科学 2026-03-26 Zimao Sheng , Zirui Yu , Hong'an Yang

The growing use of mobile robots in sectors such as automotive, agriculture, and rescue operations reflects progress in robotics and autonomy. In unmanned aerial vehicles (UAVs), most research emphasizes visual SLAM, sensor fusion, and path…

机器人学 · 计算机科学 2025-06-26 Jingwen Wei

Unmanned Aerial Vehicles (UAVs) are becoming increasingly useful for tasks which require the acquisition of data over large areas. The coverage problem, i.e., the problem of periodically visiting all subregions of an area at a desired…

机器人学 · 计算机科学 2018-10-31 Floriana Benedetti , Alessio Capitanelli , Fulvio Mastrogiovanni , Gianni Vercelli

Climate changes brought about by global warming as well as man-made environmental changes are often the cause of sever natural disasters. ICT, which is itself responsible for global warming due to its high carbon footprint, can play a role…

网络与互联网体系结构 · 计算机科学 2019-04-04 Francesco Malandrino , Carla-Fabiana Chiasserini , Claudio Casetti , Luca Chiaraviglio , Andrea Senacheribbe

Unmanned aerial vehicles (UAVs) can be used as aerial wireless base stations when cellular networks go down. Prior studies on UAV-based wireless coverage typically consider an Air-to-Ground path loss model, which assumes that the users are…

Efficient exploration strategies are vital in tasks such as search-and-rescue missions and disaster surveying. Unmanned Aerial Vehicles (UAVs) have become particularly popular in such applications, promising to cover large areas at high…

机器人学 · 计算机科学 2023-01-23 Luca Bartolomei , Lucas Teixeira , Margarita Chli

Deployment of unmanned aerial vehicles (UAVs) performing as flying aerial base stations (BSs) has a great potential of adaptively serving ground users during temporary events, such as major disasters and massive events. However, planning an…

网络与互联网体系结构 · 计算机科学 2020-02-14 Tatsuaki Kimura , Masaki Ogura

Suitably equipped with cameras and sensors, uncrewed aerial vehicles (UAVs) can be instrumental for wildfire prediction, tracking, and monitoring, provided that uninterrupted connectivity can be guaranteed even if some of the ground access…

信号处理 · 电气工程与系统科学 2024-07-09 Carles Diaz-Vilor , Angel Lozano , Hamid Jafarkhani

We introduce a decentralized and online path planning technique for a network of unmanned aerial vehicles (UAVs) in the presence of weather disturbances. In our problem setting, the group of UAVs are required to collaboratively visit a set…

分布式、并行与集群计算 · 计算机科学 2018-07-16 Wei Zhao , Borzoo Bonakdarpour
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