Article
Computer Science, Information Systems
Hua Yan, Yunfei Chen, Shuang-Hua Yang
Summary: The translated passage highlights the importance of accurate and convenient energy consumption models for rotary-wing UAVs in communication designs. The author introduces a simple model with closed-form expression based on initial velocity, acceleration, and time duration, and analyses UAV flight control parameters using this model. Numerical results demonstrate the validity and reliability of the proposed model.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Computer Science, Information Systems
Hsin-An Hou, Li-Chun Wang, Hsin-Piao Lin
Summary: This letter discusses the potential use of rotary-wing UAVs in wireless communications and the micro-Doppler effects associated with their propellers. A method to estimate the micro-Doppler effects is proposed, with simulation results showing an estimated root-mean-squared error of less than 18.83 Hz for a micro-Doppler frequency shift of 963.09 Hz in sub-6 GHz communications systems of rotary-wing UAVs.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Engineering, Multidisciplinary
Shane Kyi Hla Win, Luke Soe Thura Win, Danial Sufiyan, Shaohui Foong
Summary: The monocopter is a micro aerial vehicle inspired by botanical samaras, with a single wing design that generates efficient aerodynamic forces. By incorporating a foldable semi-rigid wing, the craft achieves compactness without compromising flight performance.
BIOINSPIRATION & BIOMIMETICS
(2021)
Article
Automation & Control Systems
Xinyu Cai, Shane Kyi Hla Win, Hitesh Bhardwaj, Shaohui Foong
Summary: In this study, a novel modular aerial robotic platform called ARROWs is introduced, which can be easily reconfigured with customized wing and control modules. Unlike conventional multirotor aerial vehicles, ARROWs generate more lift through revolving wings. However, the complex dynamics pose challenges in flight controller development. To address this, a cascaded flight controller is designed based on simplified flight dynamics and relaxed hovering conditions, while inertial measurement units are employed to estimate flight configuration. Experimental results validate the proposed platform and flight control strategy in 12 different configurations.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Engineering, Aerospace
Jianghao Wu, He Yan, Chao Zhou, Yanlai Zhang
Summary: The study found that in forward flight, a flapping rotary wing demonstrates reduced thrust and lift as well as enhanced rotational moment, mainly due to changes in aerodynamics on the retreating side. Factors such as a larger advance ratio and severe forward tilt of the rotational plane are disadvantageous for thrust production, but beneficial for enhancing the rotational moment.
AEROSPACE SCIENCE AND TECHNOLOGY
(2021)
Article
Multidisciplinary Sciences
Yuxuan Fang, Yiping Yao, Feng Zhu, Kai Chen
Summary: The multi-UAV path planning method based on artificial potential field (APF) has advantages of rapid processing speed and ability to handle dynamic obstacles. However, it lacks consideration of the initial heading constraint of UAVs, resulting in local minimum traps and insufficiently smooth paths. This paper proposes a fixed-wing UAV formation path planning method based on piecewise potential field (PPF) to address these issues. Simulation experiments show that the PPF-based method considers the initial heading limits of UAVs, resulting in considerably smoother paths and the ability to plan multiple UAV tracks without conflicts in complex scenarios.
SCIENTIFIC REPORTS
(2023)
Article
Engineering, Multidisciplinary
Hitesh Bhardwaj, Xinyu Cai, Luke Soe Thura Win, Shaohui Foong
Summary: The paper introduces a novel rotary wing platform that can fold and expand its wings during flight, inspired by birds' wing-folding ability. The design is based on the monocopter platform, inspired by the flight of Samara seeds. Origami techniques are applied to fold the wings in flight. Two configurations are presented, featuring active or passive mechanisms for wing-folding depending on specific application requirements. These platforms can reduce their overall footprint by approximately 39% and 69% while in flight. Experimental results are presented to demonstrate the control of the platform in different modes.
BIOINSPIRATION & BIOMIMETICS
(2023)
Article
Telecommunications
Rodrigo A. C. da Silva, Nelson L. S. da Fonseca
Summary: Fog computing complements cloud computing by enabling latency-sensitive applications. This paper proposes the use of fixed-wing UAVs as fog nodes and presents a Spatio-Temporal UAV Fog Node Location algorithm to solve the node location problem. Evaluation results with actual data show that fixed-wing UAVs can efficiently handle the demands.
VEHICULAR COMMUNICATIONS
(2023)
Article
Engineering, Aerospace
Iuliu-Cezar Ardelean, Dima Usov, Antonio Filippone, Ben Parslew, Peter Hollingsworth
Summary: The study focuses on the allometric scaling of unmanned rotorcraft and excludes compound unmanned rotorcraft. A dataset of 93 unmanned rotorcraft is compiled, including size and performance parameters. Rotorcraft are grouped based on rotor configuration, propulsion type, and perceived application. The study finds a performance limit for electric rotorcraft and establishes a regression analysis for designing unmanned rotorcraft.
JOURNAL OF AIRCRAFT
(2023)
Article
Computer Science, Information Systems
Yunlong Fan, Ou Li, Guangyi Liu
Summary: This paper proposes an object detection algorithm for rotary-wing UAVs based on a transformer network. By utilizing self-attention mechanism to extract features of the rotary-wing UAV, the accuracy of object detection is improved.
Article
Computer Science, Information Systems
Lei Liu, Chaofei Li, Yikun Zhao
Summary: With the development of IoT technology, the ATG system has become increasingly important for its ability to enhance communication coverage and quality through the use of frequency reuse technology. This paper focuses on cochannel interference between 5G BS and ATG airborne CPE terminals and proposes a machine learning approach to anticipate the RSRP of 5G BS in real time.
Article
Computer Science, Artificial Intelligence
Anthony Wagner, John Peterson, James Donnelly, Shivam Chourey, Kevin Kochersberger
Summary: This paper discusses a collaborative air-ground team of autonomous vehicles for exploring and navigating outdoors within an unknown environment. By using a custom multi-rotor equipped with onboard downward facing stereo cameras to capture imagery and reconstruct a height map of the ground surface online, and combining it with a simple terrain classifier, obstacles can be detected and navigation costs can be estimated. Through an online exploration algorithm, the team is able to discover a path for the ground vehicle from the current position to the goal and make progress with partial paths before a complete path is found.
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2022)
Article
Automation & Control Systems
Chaofang Hu, Zhuo Meng, Ge Qu, Hyo-Sang Shin, Antonios Tsourdos
Summary: This paper presents a real-time distributed path planning method for multiple fixed-wing UAVs to cooperatively track ground moving targets in urban environments. The method takes into account the uncertainty of target movement and various constraints in urban settings, and ensures the feasibility of solutions and balances optimization and priority by introducing varying domain and fuzzy objective functions.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2021)
Article
Automation & Control Systems
Lele Zhang, Feng Gao, Fang Deng, Lele Xi, Jie Chen
Summary: In this paper, we studied the problem of collaborative air-ground target search and localization in large outdoor environments. We proposed a distributed layered architecture and a corresponding distributed estimation algorithm that considers the differences in sensor capabilities between aerial and ground platforms. The algorithm was shown to produce accurate estimates of the target position.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Review
Robotics
Hakan Ucgun, Ugur Yuzgec, Cuneyt Bayilmis
Summary: This article reviews the development of unmanned aerial vehicles (UAVs), charging stations, and battery charging technology. By studying charging station technology, it can provide guidance for the development of UAV charging stations and help choose the appropriate charging method according to the needs.
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS
(2021)
Article
Computer Science, Software Engineering
J. A. de Jesus Osuna-Coutino, Jose Martinez-Carranza
Summary: High-level structure extraction involves recovering 3D elements on human-made surfaces, with most approaches relying on multiple camera views or 3D point cloud data. An alternative method involves processing a single RGB image to interpret human-made structures, with steps to simplify the extraction process.
Article
Chemistry, Multidisciplinary
Juan Manuel Fortuna-Cervantes, Marco Tulio Ramirez-Torres, Marcela Mejia-Carlos, Jose Salome Murguia, Jose Martinez-Carranza, Carlos Soubervielle-Montalvo, Cesar Arturo Guerra-Garcia
Summary: A new classification system based on Discrete Wavelet Transform Pooling is proposed in this paper to address the issue of information loss caused by pooling in CNNs, which shows feasibility and outperforms traditional methods in texture and material classification.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Multidisciplinary
Blanca Nydia Perez-Camacho, Gustavo Rodriguez Gomez, Juan Manuel Gonzalez-Calleros, Francisco J. Martinez-Lopez
Summary: This research proposes a methodology that uses mathematical modeling and simulator development to optimize residential electrical consumption in the context of IoT. It addresses the oversight of citizen awareness and behavior change regarding electricity consumption in existing systems.
APPLIED SCIENCES-BASEL
(2022)
Editorial Material
Automation & Control Systems
Jose Martinez-Carranza
Article
Automation & Control Systems
Aaron Lopez Luna, Hugo Rodriguez Cortes, Israel Cruz Vega, Jose Martinez-Carranza
Summary: This paper presents a position control algorithm for an aerial manipulator system (AMS) based on the Immersion and Invariance (I&I) theory. The proposed algorithm maintains the position of the aerial manipulator at the desired point under external and internal disturbances, utilizing a Visual-SLAM technique for AMS positioning.
Article
Automation & Control Systems
Jose Martinez-Carranza, Leticia Oyuki Rojas-Perez
Summary: This work presents an approach to warehouse inspection using a MicroAir Vehicle (MAV) that autonomously navigates in a GPS-denied environment. It uses a second onboard camera to observe QR codes on packages, and a metric monocular simultaneous localization and mapping (SLAM) system to estimate the MAV’s position. The MAV can communicate with a Ground Control Station (GCS) to display telemetry, images, and a list of found packages.
Article
Optics
Juan Martinez-Carranza, Tomasz Kozacki
Summary: This paper presents a method for reconstructing partial off-axis areas of arbitrary size for wide-angle viewing computer generated holograms. The proposed method reduces the numerical space-bandwidth product needed for off-axis wave field calculations, making it an efficient propagation method. The paper also introduces a memory optimized tiling implementation to solve the computer memory bottleneck issue when reconstructing very large off-axis areas.
Article
Optics
Tomasz Kozacki, Maksymilian Chlipala, Juan Martinez-Carranza, Rafal Kukolowicz, Moncy Sajeev Idicula
Summary: In this paper, two solutions are proposed to improve the quality of a large reconstructed image in a near-eye holographic display. The first solution successfully uses a non-coherent LED source to reduce speckle noise and achieve comparable resolution to coherent light. The second solution involves computing a large virtual nonparaxial hologram and determining a small support region for processing dense point clouds representing three-dimensional objects.
Article
Computer Science, Artificial Intelligence
L. Oyuki Rojas-Perez, Jose Martinez-Carranza
Summary: We propose DeepPilot4Pose, a compact convolutional neural network for visual pose estimation, which runs on the OAK-D smart camera. It is designed for micro aerial vehicle (MAV) localization in indoor environments, where GPS and external sensors are not available. We demonstrate that DeepPilot4Pose can run efficiently on the OAK-D camera at 65 Hz, achieving localization performance comparable to RGB-D ORB-SLAM on the Intel Compute Stick at 12 Hz. The evaluation includes benchmark datasets and real MAV flights in challenging indoor settings.
JOURNAL OF REAL-TIME IMAGE PROCESSING
(2023)
Article
Computer Science, Information Systems
J. A. de Jesus Osuna-Coutino, Jose Martinez-Carranza
Summary: High-Level Structure (HLS) recognition involves locating elements on human-made surfaces. Most approaches to HLS recognition process 3D data from point clouds extracted from camera images. A novel methodology for HLS recognition using a CNN-Superpixel approach from a single image is proposed, which achieves high performance and faster processing speed compared to previous work.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Jose Martinez-Carranza, Delia Irazu Hernandez-Farias, L. Oyuki Rojas-Perez, Aldrich A. Cabrera-Ponce
Summary: We propose a new approach that combines spoken language and visual object detection for real-time metric monocular SLAM without the need for depth or stereo camera. By using a compact matrix representation of language and objects, along with a partitioning algorithm, we can associate spoken descriptions with visually detected objects. Whisper, an automatic speech recognition system, processes the spoken language while YOLOv8 network handles object detection. Camera pose estimation and scene mapping are performed using ORB-SLAM. Our system allows users to explore the scene, observe detected objects, and provide depth information via spoken description in real time. Experimental results show comparable performance to RGB-D images without sacrificing real-time capability.
JOURNAL OF REAL-TIME IMAGE PROCESSING
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Jose G. Nava Zavala, Jose Martinez-Carranza
Summary: This paper presents a method for depth estimation from a single image using an intermediate representation in the form of line segments. By extracting line segments from the original image, even when the visual data is sparse, it is still possible to infer a depth image. Experimental results confirm the feasibility of this method.
ADVANCES IN ARTIFICIAL INTELLIGENCE-IBERAMIA 2022
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Leticia Oyuki Rojas-Perez, Jose Martinez-Carranza
Summary: This study presents a two-step approach for autonomous drone racing that does not require knowledge of the race track. By using a neural network and a visual detector, the drone can navigate autonomously in an unknown track and achieve high speed flights at key positions.
ADVANCES IN ARTIFICIAL INTELLIGENCE-IBERAMIA 2022
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Sergio A. Serrano, Jose Martinez-Carranza, L. Enrique Sucar
Summary: This article presents a transfer learning method for heterogeneous tasks and proposes a measure of inter-task similarity. Experimental evaluations show that the proposed measure can effectively rank tasks and enable early-stage knowledge transfer in the learning process.
ROBOT WORLD CUP XXIV, ROBOCUP 2021
(2022)
Proceedings Paper
Computer Science, Theory & Methods
Alvaro O. Lopez-Garcia, Gustavo Rodriguez-Gomez, Aurelio Lopez-Lopez
Summary: This paper presents an approach for solving the influence maximization problem by utilizing k-shell decomposition analysis and combining it with a Physarum-inspired model. The procedure was tested on both synthetic and real data-sets, showing promising results.
METAHEURISTICS AND NATURE INSPIRED COMPUTING, META 2021
(2022)
