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Natural and human-made disasters can cause severe devastation and claim thousands of lives worldwide. Therefore, developing efficient methods for disaster response and management is a critical task for relief teams. One of the most…

机器人学 · 计算机科学 2025-12-18 Sina Kazemdehbashi , Yanchao Liu , Boris S. Mordukhovich

In emergency situations, actions that save lives and limit the impact of hazards are crucial. In order to act, situational awareness is needed to decide what to do. Geolocalized photos and video of the situations as they evolve can be…

计算机视觉与模式识别 · 计算机科学 2018-03-12 Laura Lopez-Fuentes , Joost van de Weijer , Manuel Gonzalez-Hidalgo , Harald Skinnemoen , Andrew D. Bagdanov

Infrastructure assistance has been proposed as a viable solution to improve the capabilities of commercial Unmanned Aerial Vehicles (UAV), especially toward fully autonomous operations. The airborne nature of these devices imposes…

网络与互联网体系结构 · 计算机科学 2019-07-26 Sabur Baidya , Marco Levorato

Emergency communication is extremely important to aid rescue and search operation in the aftermath of any disaster. In such scenario, Unmanned Aerial Vehicle (UAV) networks may be used to complement the damaged cellular networks over large…

网络与互联网体系结构 · 计算机科学 2021-03-31 Sharvari N P , Dibakar Das , Jyotsna Bapat , Debabrata Das

In recent years, unmanned aerial vehicles (UAVs) are used for numerous inspection and video capture tasks. Manually controlling UAVs in the vicinity of obstacles is challenging, however, and poses a high risk of collisions. Even for…

机器人学 · 计算机科学 2022-08-12 Daniel Schleich , Sven Behnke

Unmanned aerial vehicles (UAVs) have the potential to establish flexible and reliable emergency networks in disaster sites when terrestrial communication infrastructures go down. Nevertheless, potential security threats may occur on UAVs…

多智能体系统 · 计算机科学 2022-11-24 Yuntao Wang , Zhou Su , Qichao Xu , Ruidong Li , Tom H. Luan , Pinghui Wang

UAV-assisted integrated sensing and communication (ISAC) network is crucial for post-disaster emergency rescue. The speed of UAV deployment will directly impact rescue results. However, the ISAC UAV deployment in emergency scenarios is…

网络与互联网体系结构 · 计算机科学 2024-01-17 Zao Wang , Lianming Xu , Luyang Hou , Ruoguang Li , Li Wang

In the last decade, the rapid growth of Unmanned Aircraft Systems (UAS) and Unmanned Aircraft Vehicles (UAV) in communication, defense, and transportation has increased. The application of UAS will continue to increase rapidly. This has led…

Crisis management (CM) for critical infrastructures, natural disasters such as wildfires and hurricanes, terrorist actions, or civil unrest requires high speed communications and connectivity, and access to high performance computational…

系统与控制 · 电气工程与系统科学 2024-10-04 Hossein Rastgoftar , Salim Hariri

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…

The use of semi-autonomous Unmanned Aerial Vehicles (UAVs or drones) to support emergency response scenarios, such as fire surveillance and search-and-rescue, has the potential for huge societal benefits. Onboard sensors and artificial…

软件工程 · 计算机科学 2020-09-23 Ankit Agrawal , Jan-Philipp Steghofer , Jane Cleland-Huang

Recently, Unmanned Aerial Vehicle (UAV) based communications systems have attracted increasing research and commercial interest due to their cost effective deployment and ease of mobility.During natural disasters and emergencies, such…

网络与互联网体系结构 · 计算机科学 2021-06-03 Sai Teja Suggala , Siddhartha Pothukuchi , Naimat Ali Khan

Edge sensing and computing is rapidly becoming part of intelligent infrastructure architecture leading to operational reliance on such systems in disaster or emergency situations. In such scenarios there is a high chance of power supply…

新兴技术 · 计算机科学 2025-01-28 Talha Azfar , Kaicong Huang , Ruimin Ke

In the event of natural or man-made disasters in an urban environment, such as fires, floods, and earthquakes, a swarm of unmanned aerial vehicles (UAVs) can rapidly sweep and provide coverage to monitor the area of interest and locate…

机器人学 · 计算机科学 2024-06-17 Wai Lun Leong , Jiawei Cao , Rodney Teo

Assessing collision risk is a critical challenge to effective traffic safety management. The deployment of unmanned aerial vehicles (UAVs) to address this issue has shown much promise, given their wide visual field and movement flexibility.…

机器人学 · 计算机科学 2021-10-14 Shuya Zong , Sikai Chen , Majed Alinizzi , Yujie Li , Samuel Labi

Unmanned Aerial Vehicles (UAVs) have recently rapidly grown to facilitate a wide range of innovative applications that can fundamentally change the way cyber-physical systems (CPSs) are designed. CPSs are a modern generation of systems with…

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…

Unmanned Aerial Vehicles (UAVs) play a pivotal role in modern autonomous air mobility, and the reliability of UAV avionics systems is critical to ensuring mission success, sustainability practices, and public safety. The success of UAV…

密码学与安全 · 计算机科学 2025-04-11 Aaron Yu , Iuliia Kolotylo , Hashim A. Hashim , A. E. E. Eltoukhy

The safety of autonomous vehicles (AVs) depends on their ability to perform complex computations on high-volume sensor data in a timely manner. Their ability to run these computations with state-of-the-art models is limited by the…

机器人学 · 计算机科学 2023-08-08 Peter Schafhalter , Sukrit Kalra , Le Xu , Joseph E. Gonzalez , Ion Stoica

Dangerous surroundings and difficult-to-reach landscapes introduce significant complications for adequate disaster management and recuperation. These problems can be solved by engaging unmanned aerial vehicles (UAVs) provided with embedded…

计算机视觉与模式识别 · 计算机科学 2025-03-03 Branislava Jankovic , Sabina Jangirova , Waseem Ullah , Latif U. Khan , Mohsen Guizani