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Showing 13 of 33 academic articles

Vision-Based Autonomous Landing of a Quadrotor on the Perturbed Deck of an Unmanned Surface Vehicle

Riccardo Polvara, Sanjay Sharma, Jian Wan, Andrew Manning et al. • Drones (2018)

Autonomous landing on the deck of an unmanned surface vehicle (USV) is still a major challenge for unmanned aerial vehicles (UAVs). In this paper, a fiducial marker is located on the platform so as to facilitate the task since it is possibl...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones2020015

Algoritms for determining the attitude position of an unmanned aerial vehicle relative to the landing platform by using computer vision

T. Yu. Gainutdinova, S. V. Novikova, V. G. Gainutdinov, M. V. Trusfus et al. • Вестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение (2023)

Algorithms for determining the attitude position of an aircraft or helicopter-type unmanned aerial vehicle relative to the landing platform with special optical marks are considered. An assessment is made of the possibility of calculating t...

DOAJ Open Access (DOAJ) DOI: 10.18287/2541-7533-2023-22-4-37-51

New topic horizons for drone systems and applications

Karen Anderson, Brandi M. Shabaga, Serge Wich, Geoff Fink et al. • Drone Systems and Applications (2023)

Summary This journal (Drone Systems and Applications; DSA) conducted a targeted “horizon scan” during 2022 within our team of editors and associate editors. We asked—Which research areas currently under-represented in Drone Systems and Appl...

DOAJ Open Access (DOAJ) DOI: 10.1139/dsa-2023-0019

Condensing AI-Based Attitude Control Using Kolmogorov–Arnold Networks for Memory Efficiency

Kirill Djebko, Patrick Schurk, Tom Baumann, Frank Puppe et al. • Aerospace (2025)

Artificial Intelligence (AI) is rapidly transforming engineering fields, from robotics to aerospace, with applications in control systems for UAVs and satellites. This work builds on a previously developed AI attitude controller for the Inn...

DOAJ Open Access (DOAJ) DOI: 10.3390/aerospace12121039

Systemic Review and Meta-Analysis: The Application of AI-Powered Drone Technology with Computer Vision and Deep Learning Networks in Waste Management

Tyrone Bright, Sarp Adali, Cristina Trois • Drones (2025)

As the generation of Municipal Solid Waste (MSW) has exponentially increased, this poses a challenge for waste managers, such as municipalities, to effectively control waste streams. If waste streams are not managed correctly, they negative...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones9080550

An AI-Based Deep Learning with K-Mean Approach for Enhancing Altitude Estimation Accuracy in Unmanned Aerial Vehicles

Prot Piyakawanich, Pattarapong Phasukkit • Drones (2024)

In the rapidly evolving domain of Unmanned Aerial Vehicles (UAVs), precise altitude estimation remains a significant challenge, particularly for lightweight UAVs. This research presents an innovative approach to enhance altitude estimation ...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones8120718

Precise Cruise Control for Fixed-Wing Aircraft Based on Proximal Policy Optimization with Nonlinear Attitude Constraints

Haotian Wu, Yan Guo, Juliang Cao, Zhiming Xiong et al. • Aerospace (2025)

In response to the issues of severe pitch oscillation and unstable roll attitude present in existing reinforcement learning-based aircraft cruise control methods during dynamic maneuvers, this paper proposes a precise control method for air...

DOAJ Open Access (DOAJ) DOI: 10.3390/aerospace12080670

UAV-Embedded Sensors and Deep Learning for Pathology Identification in Building Façades: A Review

Gabriel de Sousa Meira, João Victor Ferreira Guedes, Edilson de Souza Bias • Drones (2024)

The use of geotechnologies in the field of diagnostic engineering has become ever more present in the identification of pathological manifestations in buildings. The implementation of Unmanned Aerial Vehicles (UAVs) and embedded sensors has...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones8070341

Leveraging AI to Estimate Caribou Lichen in UAV Orthomosaics from Ground Photo Datasets

Galen Richardson, Sylvain G. Leblanc, Julie Lovitt, Krishan Rajaratnam et al. • Drones (2021)

Relating ground photographs to UAV orthomosaics is a key linkage required for accurate multi-scaled lichen mapping. Conventional methods of multi-scaled lichen mapping, such as random forest models and convolutional neural networks, heavily...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones5030099

ID-Det: Insulator Burst Defect Detection from UAV Inspection Imagery of Power Transmission Facilities

Shangzhe Sun, Chi Chen, Bisheng Yang, Zhengfei Yan et al. • Drones (2024)

The global rise in electricity demand necessitates extensive transmission infrastructure, where insulators play a critical role in ensuring the safe operation of power transmission systems. However, insulators are susceptible to burst defec...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones8070299