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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…

Robotics · Computer Science 2023-12-29 Jiageng Zhong , Ming Li , Yinliang Chen , Zihang Wei , Fan Yang , Haoran Shen

In this paper, we propose a resource-efficient approach to provide an autonomous UAV with an on-board perception method to detect safe, hazard-free landing sites during flights over complex 3D terrain. We aggregate 3D measurements acquired…

Autonomous tracking of flying aerial objects has important civilian and defense applications, ranging from search and rescue to counter-unmanned aerial systems (counter-UAS). Ground based tracking requires setting up infrastructure, could…

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…

Computer Vision and Pattern Recognition · Computer Science 2024-03-19 Jakub Mandula , Jonas Kühne , Luca Pascarella , Michele Magno

Considering the accelerated development of Unmanned Aerial Vehicles (UAVs) applications in both industrial and research scenarios, there is an increasing need for localizing these aerial systems in non-urban environments, using GNSS-Free,…

Robotics · Computer Science 2022-10-19 Marius-Mihail Gurgu , Jorge Peña Queralta , Tomi Westerlund

The problem of reliably detecting and geolocating objects of different classes in soft real-time is essential in many application areas, such as Search and Rescue performed using Unmanned Aerial Vehicles (UAVs). This research addresses the…

Computer Vision and Pattern Recognition · Computer Science 2024-08-30 Piotr Rudol , Patrick Doherty , Mariusz Wzorek , Chattrakul Sombattheera

Vision-based pose estimation of Unmanned Aerial Vehicles (UAV) in unknown environments is a rapidly growing research area in the field of robot vision. The task becomes more complex when the only available sensor is a static single camera…

Computer Vision and Pattern Recognition · Computer Science 2019-03-22 Ram Prasad Padhy , Shahzad Ahmad , Sachin Verma , Pankaj Kumar Sa , Sambit Bakshi

Using Unmanned Aerial Vehicles (UAVs) to perform high-altitude manipulation tasks beyond just passive visual application can reduce the time, cost, and risk of human workers. Prior research on aerial manipulation has relied on either ground…

Robotics · Computer Science 2023-06-30 Guanqi He , Yash Jangir , Junyi Geng , Mohammadreza Mousaei , Dongwei Bai , Sebastian Scherer

Unmanned Aerial Vehicles (UAVs) rely on satellite systems for stable positioning. However, due to limited satellite coverage or communication disruptions, UAVs may lose signals from satellite-based positioning systems. In such situations,…

Computer Vision and Pattern Recognition · Computer Science 2023-08-14 Ming Dai , Enhui Zheng , Zhenhua Feng , Jiedong Zhuang , Wankou Yang

The global positioning system (GPS) has become an indispensable navigation method for field operations with unmanned surface vehicles (USVs) in marine environments. However, GPS may not always be available outdoors because it is vulnerable…

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…

Systems and Control · Computer Science 2017-01-05 Sotiris Papatheodorou , Anthony Tzes , Yiannis Stergiopoulos

Marker-based landing is widely used in drone delivery and return-to-base systems for its simplicity and reliability. However, most approaches assume idealized landing site visibility and sensor performance, limiting robustness in complex…

Robotics · Computer Science 2026-01-19 Jiaohong Yao , Linfeng Liang , Yao Deng , Xi Zheng , Richard Han , Yuankai Qi

Unmanned aerial vehicles (UAVs) have been used for many applications in recent years, from urban search and rescue, to agricultural surveying, to autonomous underground mine exploration. However, deploying UAVs in tight, indoor spaces,…

Computer Vision and Pattern Recognition · Computer Science 2022-03-07 Stuart Golodetz , Madhu Vankadari , Aluna Everitt , Sangyun Shin , Andrew Markham , Niki Trigoni

Unmanned Aerial Vehicle (UAV) based remote sensing system incorporated with computer vision has demonstrated potential for assisting building construction and in disaster management like damage assessment during earthquakes. The…

In recent years, consumer Unmanned Aerial Vehicles have become very popular, everyone can buy and fly a drone without previous experience, which raises concern in regards to regulations and public safety. In this paper, we present a novel…

Robotics · Computer Science 2016-02-29 Thomas Castelli , Aidean Sharghi , Don Harper , Alain Tremeau , Mubarak Shah

Autonomous operation of UAVs in a closed environment requires precise and reliable pose estimate that can stabilize the UAV without using external localization systems such as GNSS. In this work, we are concerned with estimating the pose…

Robotics · Computer Science 2023-02-06 Matěj Petrl\' ik , Tom\' aš Krajn\' ik , Martin Saska

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

There is an increased interest in the use of Unmanned Aerial Vehicles (UAVs) for agriculture, military, disaster management and aerial photography around the world. UAVs are scalable, flexible and are useful in various environments where…

Computer Vision and Pattern Recognition · Computer Science 2020-08-05 Bapireddy Karri

ViVa-SAFELAND is an open source software library, aimed to test and evaluate vision-based navigation strategies for aerial vehicles, with special interest in autonomous landing, while complying with legal regulations and people's safety. It…

Robotics · Computer Science 2025-03-20 Miguel S. Soriano-García , Diego A. Mercado-Ravell

In this paper, a simple technique for Unmanned Aerial Vehicles (UAVs) potential landing site detection using terrain information through identification of flat areas, is presented. The algorithm utilizes digital elevation models (DEM) that…

Computer Vision and Pattern Recognition · Computer Science 2021-07-16 Efstratios Kakaletsis , Nikos Nikolaidis