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Compact UAV systems, while advancing delivery and surveillance, pose significant security challenges due to their small size, which hinders detection by traditional methods. This paper presents a cost-effective, unsupervised UAV detection…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Hanfang Liang , Yizhuo Yang , Jinming Hu , Jianfei Yang , Fen Liu , Shenghai Yuan

This paper presents the design, implementation, and flight test results of two novel 3D path-following guidance algorithms based on nonlinear model predictive control (MPC), with specific application to fixed-wing small uncrewed aircraft…

Robotics · Computer Science 2026-01-01 Camron Alexander Hirst , Chris Reale , Eric Frew

This paper addresses the three-dimensional path-following guidance problem for unmanned aerial vehicles under explicit actuator constraints. Unlike conventional approaches that assume unbounded control inputs or handle saturation…

Systems and Control · Electrical Eng. & Systems 2026-03-31 Vinay Kathiriya , Saurabh Kumar , Shashi Ranjan Kumar

Single visual object tracking from an unmanned aerial vehicle (UAV) poses fundamental challenges such as object occlusion, small-scale objects, background clutter, and abrupt camera motion. To tackle these difficulties, we propose to…

Computer Vision and Pattern Recognition · Computer Science 2022-02-28 Stéphane Vujasinović , Stefan Becker , Timo Breuer , Sebastian Bullinger , Norbert Scherer-Negenborn , Michael Arens

Micro unmanned aerial vehicles (mUAV) became very common in recent years. As a result of their widespread usage, when they are flown by hobbyists illegally, crucial risks are imposed and such mUAVs need to be sensed by security systems.…

Computer Vision and Pattern Recognition · Computer Science 2020-01-20 Fatih Gökçe

Small Unmanned Aerial Vehicles (UAVs) exhibit immense potential for navigating indoor and hard-to-reach areas, yet their significant constraints in payload and autonomy have largely prevented their use for complex tasks like high-quality…

This paper studies the leaderless formation flying problem with collision avoidance for a group of unmanned aerial vehicles (UAVs), which requires the UAVs to navigate through cluttered environments without colliding while maintaining the…

Systems and Control · Electrical Eng. & Systems 2025-05-13 Yiming Wang , Yao Fang , Jie Mei , Youmin Gong , Guangfu Ma

The use of autonomous UAVs for surveillance purposes and other reconnaissance tasks is increasingly becoming popular and convenient.These tasks requires the ability to successfully ingress through the rectangular openings or windows of the…

Computer Vision and Pattern Recognition · Computer Science 2016-07-26 Abhinav Pachauri , Vikrant More , Pradeep Gaidhani , Nitin Gupta

Monocular visual navigation methods have seen significant advances in the last decade, recently producing several real-time solutions for autonomously navigating small unmanned aircraft systems without relying on GPS. This is critical for…

Computer Vision and Pattern Recognition · Computer Science 2020-09-24 Kyung Kim , Robert C. Leishman , Scott L. Nykl

This paper presents the development of a real time tracking algorithm that runs on a 1.2 GHz PC/104 computer on-board a small UAV. The algorithm uses zero mean normalized cross correlation to detect and locate an object in the image. A…

Computer Vision and Pattern Recognition · Computer Science 2012-03-13 Ashraf Qadir , Jeremiah Neubert , William Semke

This paper proposes a control algorithm for a UAV to circumnavigate an unknown target at a fixed radius when the location information of the UAV is unavailable. By assuming that the UAV has a constant velocity, the control algorithm makes…

Optimization and Control · Mathematics 2013-09-25 Araz Hashemi , Yongcan Cao , David Casbeer , George Yin

This work addresses the problem of coupling vision-based navigation systems for Unmanned Aerial Vehicles (UAVs) with robust obstacle avoidance capabilities. The former problem is solved by maximizing the visibility of the points of…

Robotics · Computer Science 2019-11-06 Ciro Potena , Daniele Nardi , Alberto Pretto

In order to improve usability and safety, modern unmanned aerial vehicles (UAVs) are equipped with sensors to monitor the environment, such as laser-scanners and cameras. One important aspect in this monitoring process is to detect…

Computer Vision and Pattern Recognition · Computer Science 2019-09-24 Boitumelo Ruf , Sebastian Monka , Matthias Kollmann , Michael Grinberg

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…

Robotics · Computer Science 2020-12-29 Han Chen , Peng Lu

In this paper, we present an autonomous unmanned aerial vehicle (UAV) landing system based on visual navigation. We design the landmark as a topological pattern in order to enable the UAV to distinguish the landmark from the environment…

Robotics · Computer Science 2019-10-30 Zhixin Wu , Peng Han , Ruiwen Yao , Lei Qiao , Weidong Zhang , Tielong Shen , Min Sun , Yilong Zhu , Ming Liu , Rui Fan

Recent advances in Unmanned Aerial Vehicles (UAVs) have resulted in their quick adoption for wide a range of civilian applications, including precision agriculture, biosecurity, disaster monitoring and surveillance. UAVs offer low-cost…

Robotics · Computer Science 2023-08-22 Juan Sandino , Peter A. Caccetta , Conrad Sanderson , Frederic Maire , Felipe Gonzalez

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 paper presents a decentralized, collision-free framework for path following guidance of multiple uncrewed aerial vehicles (UAVs), while maintaining uniform spacing along a reference path. A vector field-based guidance law is employed…

Multiagent Systems · Computer Science 2026-04-22 Gautam Kumar , Amit Shivam , Ashwini Ratnoo

As unmanned aerial vehicles (UAVs) become more accessible with a growing range of applications, the potential risk of UAV disruption increases. Recent development in deep learning allows vision-based counter-UAV systems to detect and track…

Computer Vision and Pattern Recognition · Computer Science 2021-12-03 Daniel Organisciak , Matthew Poyser , Aishah Alsehaim , Shanfeng Hu , Brian K. S. Isaac-Medina , Toby P. Breckon , Hubert P. H. Shum

Unmanned Aerial Vehicle (UAV) has already demonstrated its potential in many civilian applications, and the fa\c{c}ade inspection is among the most promising ones. In this paper, we focus on enabling the autonomous perception and control of…

Robotics · Computer Science 2021-02-03 Yang Lyu , Muqing Cao , Shenghai Yuan , Lihua Xie