The target 3D position information provided by the microsystem for the embodied intelligent robot and UAV has broad application value in visual 3D positioning, target tracking, obstacle avoidance, formation and other fields, as shown in Figs 1 (a) and (d)....
The study focuses on enhancing the effectiveness of precision agriculture through the application of deep learning technologies. Precision agriculture, which aims to optimize farming practices by monitoring and adjusting various factors influencing crop
A coordinated R&D environment is provided via recurring meetings, which guarantee that everyone is in complete control of the process. All work is also recorded in the form of publications and reports. 4.1.5. Non-technical For privacy protection, data anonymization is not an issue in the ...
Journal of Biomechanics, 2021, 128: 110722. Article Google Scholar W Zhang, G Xu, Y Cheng, et al. Research on orthogonal iteration algorithm of visual pose estimation for UAV landing. 2018 IEEE CSAA Guidance, Navigation and Control Conference (GNCC), Xiamen, China, 2018: 1-6. G Hu, ...
UAV unreal engine archaeology Previous article View issue table of contents Next article 1. Introduction The ancient city of Uruk, set in the alluvial plain of southern Iraq, is distinguished by its historical prominence. The archaeological mounds covering an area of more than five square kilomete...
Guo et al. [10] derived a closed-form expression for determining the optimal locations for the relays. Although in [10], the optimal locations for UAVs were also discussed, the reported study was fundamentally different from our work. In our work, the UAV position is determined based on ...
This paper reviews the state of the art and future trends of indoor Positioning, Localization, and Navigation (PLAN). It covers the requirements, the main players, sensors, and techniques for indoor PLAN. Other than the navigation sensors such as Inertia
(defined by the free-form deformation method, class-function shape-function transformation, and related methods), flight status variables (such as Mach number, angle of attack, Reynolds number, and flight altitude), and wing control surface deflection variables. The outputs are the predicted ...
solve computation offloading and resource allocation problems in a blockchain-based multi-UAV-assisted dynamic environment. Computation offloading that focuses on the minimization of system cost comprising the trade-off between energy and task execution delay in the form of a weighted sum has been ...
Based on the formulation of the optimal control problem for quadrotors in form of the stable manifold as in Section 2.2, we seek NN approximation for the stable manifold inspired by Chen [Citation34]. 3.1. Pretreatment of the model for deep learning algorithm To design an efficient deep learnin...