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A novel prize-winner algorithm designed for a path following problem within the Unmanned Aerial Vehicle (UAV) field is presented in this paper. The proposed approach exploits the advantages offered by the pure pursuing algorithm to set up…

This paper presents the ARCAD simulator for the rapid development of Unmanned Aerial Systems (UAS), including underactuated and fully-actuated multirotors, fixed-wing aircraft, and Vertical Take-Off and Landing (VTOL) hybrid vehicles. The…

Robotics · Computer Science 2023-04-11 Azarakhsh Keipour , Mohammadreza Mousaei , Dongwei Bai , Junyi Geng , Sebastian Scherer

In this paper, a combat Unmanned Air Vehicle (UAV) is modeled in the simulation environment. The rotary wing UAV is successfully performed various tasks such as locking on the targets, tracking, and sharing the relevant data with…

Robotics · Computer Science 2022-06-28 A. Huzeyfe Demir , Berke Yavas , Mehmet Yazici , Dogukan Aksu , M. Ali Aydin

In recent years, aerial platforms have evolved from passive flying sensors into versatile, contact-aware robotic systems, leading to rapid advances in platform design. Standard coplanar and collinear quadrotors have been complemented by…

Robotics · Computer Science 2026-02-24 Nicola Cigarini , Giulia Michieletto , Angelo Cenedese

This paper presents a family of autonomous Unmanned Aerial Vehicles (UAVs) platforms designed for a diverse range of indoor and outdoor applications. The proposed UAV design is highly modular in terms of used actuators, sensor…

The vision of unmanned aerial vehicles is very significant for UAV-related applications such as search and rescue, landing on a moving platform, etc. In this work, we have developed an integrated system for the UAV landing on the moving…

Robotics · Computer Science 2023-01-03 Kangcheng Liu

We present a multirotor Unmanned Aerial Vehicle control (UAV) and estimation system for supporting replicable research through realistic simulations and real-world experiments. We propose a unique multi-frame localization paradigm for…

Robotics · Computer Science 2025-04-24 Tomas Baca , Matej Petrlik , Matous Vrba , Vojtech Spurny , Robert Penicka , Daniel Hert , Martin Saska

In this paper a vision-based system for detection, motion tracking and following of Unmanned Aerial Vehicle (UAV) with other UAV (follower) is presented. For detection of an airborne UAV we apply a convolutional neural network YOLO trained…

Robotics · Computer Science 2022-05-03 Antonella Barisic , Marko Car , Stjepan Bogdan

This paper presents a visual tracking system that is capable or running real time on-board a small UAV (Unmanned Aerial Vehicle). The tracking system is computationally efficient and invariant to lighting changes and rotation of the object…

Robotics · Computer Science 2012-05-28 Ashraf Qadir , William Semke , Jeremiah Neubert

While Unmanned Aerial Vehicles (UAVs) are increasingly deployed in several missions, their inability of reliable and consistent autonomous landing poses a major setback for deploying such systems truly autonomously. In this paper we present…

Robotics · Computer Science 2022-10-18 Michalis Piponidis , Panayiotis Aristodemou , Theocharis Theocharides

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…

A tracking controller for unmanned aerial vehicles (UAVs) is developed to track moving targets undergoing unknown translational and rotational motions. The main challenges are to control both the relative positions and angles between the…

Robotics · Computer Science 2021-09-16 Hsin-Ai Hung , Hao-Huan Hsu , Teng-Hu Cheng

Visual active tracking is a growing research topic in robotics due to its key role in applications such as human assistance, disaster recovery, and surveillance. In contrast to passive tracking, active tracking approaches combine vision and…

Robotics · Computer Science 2024-04-09 Alberto Dionigi , Simone Felicioni , Mirko Leomanni , Gabriele Costante

This work addresses the landing problem of an aerial vehicle, exemplified by a simple quadrotor, on a moving platform using image-based visual servo control. First, the mathematical model of the quadrotor aircraft is introduced, followed by…

Systems and Control · Electrical Eng. & Systems 2024-04-18 Haohua Dong

Unmanned Aerial Vehicles (UAVs) and Automated Guided Vehicles (AGVs) increasingly collaborate in logistics, surveillance, inspection tasks and etc. However, existing simulators often focus on a single domain, limiting cross-domain study.…

Robotics · Computer Science 2025-02-14 Wenhui Ma , Wenhao Li , Bo Jin , Changhong Lu , Xiangfeng Wang

This project aimed to develop an automated cinematography platform using an unmanned aerial vehicle. Quadcopters are a great platform for shooting aerial scenes but are difficult to maneuver smoothly and can require expertise to pilot. We…

Robotics · Computer Science 2024-09-04 Animesh Nema , Christopher Grontkowski , Derek Calzada , Sanjuksha Nirgude

Unmanned Aerial Vehicles (UAV) have emerged as versatile platforms, driving the demand for accurate modeling to support developmental testing. This paper proposes data-driven modeling software for UAV. Emphasizes the utilization of…

This paper presents a real-time control system for surface inspection using multiple unmanned aerial vehicles (UAVs). The UAVs are coordinated in a specific formation to collect data of the inspecting objects. The communication platform for…

Robotics · Computer Science 2019-07-09 Van Truong Hoang , Manh Duong Phung , Tran Hiep Dinh , Quang P. Ha

In this paper we present a vision based hardware-software control system enabling autonomous landing of a multirotor unmanned aerial vehicle (UAV). It allows the detection of a marked landing pad in real-time for a 1280 x 720 @ 60 fps video…

Computer Vision and Pattern Recognition · Computer Science 2021-03-30 Krzysztof Blachut , Hubert Szolc , Mateusz Wasala , Tomasz Kryjak , Marek Gorgon

Referring Multi-Object Tracking (RMOT) aims to achieve precise object detection and tracking through natural language instructions, representing a fundamental capability for intelligent robotic systems. However, current RMOT research…

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