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In recent years, the combination of artificial intelligence (AI) and unmanned aerial vehicles (UAVs) has brought about advancements in various areas. This comprehensive analysis explores the changing landscape of AI-powered UAVs and…

人工智能 · 计算机科学 2023-10-26 Osim Kumar Pal , Md Sakib Hossain Shovon , M. F. Mridha , Jungpil Shin

Unmanned aerial vehicle (UAV) techniques have developed rapidly within the past few decades. Using UAVs provides benefits in numerous applications such as site surveying, communication systems, parcel delivery, target tracking, etc. The…

系统与控制 · 电气工程与系统科学 2024-04-05 Siyuan Li

In this paper, we develop a position estimation system for Unmanned Aerial Vehicles formed by hardware and software. It is based on low-cost devices: GPS, commercial autopilot sensors and dense optical flow algorithm implemented in an…

系统与控制 · 计算机科学 2018-07-18 L. Arreola , A. Montes de Oca , A. Flores , J. Sanchez , G. Flores

With the advancement in drone technology, in just a few years, drones will be assisting humans in every domain. But there are many challenges to be tackled, communication being the chief one. This paper aims at providing insights into the…

Currently, research in robotics, artificial intelligence and drones are advancing exponentially, they are directly or indirectly related to various areas of the economy, from agriculture to industry. With this context, this project covers…

Unmanned Aerial Vehicles (UAVs) are gaining popularity in civil and military applications. However, uncontrolled access to restricted areas threatens privacy and security. Thus, prevention and detection of UAVs are pivotal to guarantee…

计算机视觉与模式识别 · 计算机科学 2024-03-19 Jakub Mandula , Jonas Kühne , Luca Pascarella , Michele Magno

There has been a rapid growth in the deployment of Unmanned Aerial Vehicles (UAVs) in various applications ranging from vital safety-of-life such as surveillance and reconnaissance at nuclear power plants to entertainment and hobby…

信号处理 · 电气工程与系统科学 2021-11-09 Alireza Famili , Angelos Stavrou , Haining Wang , Jung-Min , Park , Ryan Gerdes

This work aims at showing that it is feasible and safe to use a swarm of Unmanned Aerial Vehicles (UAVs) indoors alongside humans. UAVs are increasingly being integrated under the Industry 4.0 framework. UAV swarms are primarily deployed…

机器人学 · 计算机科学 2024-09-02 Shrutarv Awasthi , Nils Gramse , Christopher Reining , Moritz Roidl

Drones, also known as unmanned air vehicles (UAVs), have revolutionised various industries, from farming to national security. (Wexler., Lesley. 2016) However, their broad use has revealed a severe weakness in cybersecurity. (Jean-Paul…

密码学与安全 · 计算机科学 2024-04-29 Charles Abdulrazak

Within the context of Industry 4.0, mobile robot systems such as automated guided vehicles (AGVs) and unmanned aerial vehicles (UAVs) are one of the major areas challenging current communication and localization technologies. Due to…

机器人学 · 计算机科学 2018-11-30 Amina Fellan , Christian Schellenberger , Marc Zimmermann , Hans D. Schotten

Drones or unmanned aerial vehicles are traditionally used for military missions, warfare, and espionage. However, the usage of drones has significantly increased due to multiple industrial applications involving security and inspection,…

计算机视觉与模式识别 · 计算机科学 2025-02-11 Purbaditya Bhattacharya , Patrick Nowak

The Internet of Drones (IoD) recently gained momentum due to its high adaptability to a wide variety of complex scenarios. Indeed, Unmanned Aerial Vehicles (UAVs) can successfully be employed in different applications, thanks to some…

系统与控制 · 电气工程与系统科学 2021-07-22 Pietro Boccadoro , Domenico Striccoli , Luigi Alfredo Grieco

Drone technology is proliferating in many industries, including agriculture, logistics, defense, infrastructure, and environmental monitoring. Vision-based autonomy is one of its key enablers, particularly for real-world applications. This…

Unmanned aerial vehicles (UAV) are commonly used for missions in unknown environments, where an exact mathematical model of the environment may not be available. This paper provides a framework for using reinforcement learning to allow the…

机器人学 · 计算机科学 2018-01-17 Huy X. Pham , Hung M. La , David Feil-Seifer , Luan V. Nguyen

Recent technological advancements in small-scale unmanned aerial vehicles (UAVs) have led to the development of companion UAVs. Similar to conventional companion robots, companion UAVs have the potential to assist us in our daily lives and…

机器人学 · 计算机科学 2020-01-15 Chun Fui Liew , Takehisa Yairi

Owing to effective and flexible data acquisition, unmanned aerial vehicle (UAV) has recently become a hotspot across the fields of computer vision (CV) and remote sensing (RS). Inspired by recent success of deep learning (DL), many advanced…

计算机视觉与模式识别 · 计算机科学 2021-10-26 Xin Wu , Wei Li , Danfeng Hong , Ran Tao , Qian Du

Unmanned Aerial Vehicles (UAVs) have revolutionized numerous application fields since their introduction. Alongside this, advancements in mechanics and electronics have simplified and decreased the cost of system design. As a consequence,…

系统与控制 · 电气工程与系统科学 2023-08-29 Tanay Kumar , Mangal Kothari

Unmanned Aerial Vehicles (UAVs) or drones are being introduced in a wide range of commercial applications. This has also made them prime targets of attackers who compromise their fundamental security properties, including confidentiality,…

密码学与安全 · 计算机科学 2025-12-04 Sonali Rout , Vireshwar Kumar

Unmanned aerial vehicles (UAVs) have become important in many applications including last-mile deliveries, surveillance and monitoring, and wireless networks. This paper aims to design UAV trajectories that simultaneously perform multiple…

信息论 · 计算机科学 2019-11-14 Mohammadjavad Khosravi , Hamid Saeedi , Hossein Pishro-Nik

Recent years have seen tremendous advancements in the area of autonomous payload delivery via unmanned aerial vehicles, or drones. However, most of these works involve delivering the payload at a predetermined location using its GPS…

计算机视觉与模式识别 · 计算机科学 2023-10-11 Aditya Vadduri , Anagh Benjwal , Abhishek Pai , Elkan Quadros , Aniruddh Kammar , Prajwal Uday