Results 71 to 80 of about 115,291 (290)

Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs

Advanced Intelligent Systems, EarlyView.
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza, Bruno José Olivieri de Souza, Markus Endler   +2 more
wiley   +1 more source

Research on a Three-Way Decision-Making Approach, Based on Non-Additive Measurement and Prospect Theory, and Its Application in Aviation Equipment Risk Analysis

Entropy
Due to the information non-independence of attributes, combined with a complex and changeable environment, the analysis of risks faces great difficulties. In view of this problem, this paper proposes a new three-way decision-making (3WD) method, combined
Ruicong Xia, Sirong Tong, Qiang Wang, Bingzhen Sun, Ziling Xu, Qiuhan Liu, Jiayang Yu, Fan Wu   +7 more
doaj   +1 more source

Construction of Aviation and Space Information Equipment System under Cloud Operations

Hangkong gongcheng jinzhan, 2020
Cloud operation is a new operational mode brought by cloud computing technology in the military field. In the future aviation and space information confrontation, cloud operation will have the invisible power application and the combination of virtual ...
LI Fei, WANG Shimei, HU Jianbo, LIU Bingqi   +3 more
doaj   +1 more source

UNMANNED AERIAL VEHICLE IN CADASTRAL APPLICATIONS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
Abstract. This paper presents the investigation of UAVs (Unmanned Aerial Vehicles) for use in cadastral surveying. Within the scope of a pilot study UAVs were tested for capturing geodata and compared with conventional data acquisition methods for cadastral surveying. Two study sites were therefore surveyed with a tachymeter-GNSS combination as well as
Manyoky, Madeleine, Theiler, Pascal, Steudler, Daniel, Eisenbeiss, Henri   +3 more
openaire   +4 more sources

Optical Flow Enables Hand Tracking With EyeGlove Low‐Cost Cameras in Confined Environments

Advanced Intelligent Systems, EarlyView.
A cost‐effective (<£150) hand‐wearable stereo vision system, EyeGlove, is proposed to support visual inspection in confined environments. The system integrates disjointed low‐cost cameras to enable dexterous camera manipulation and wearable display unit for real‐time interaction.
Erhui Sun, Xin Dong, Dragos Axinte, Andy Norton   +3 more
wiley   +1 more source

Prescribed-Time Cooperative Output Regulation by Bounded Observer-Based Time-Varying Protocols

IEEE Access
This research focuses on the prescribed-time cooperative output regulation problem within linear multi-agent systems subject to input constraints. The key contribution is the design of a distributed observer-based bounded time-varying state controller ...
Jiaxin Zhou, Yuan Tian, Yan Li, Sidong Wu   +3 more
doaj   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints

Advanced Intelligent Systems, EarlyView.
A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang, Lei Ma, Muhua Zhang, Kai Shen   +3 more
wiley   +1 more source

Towards Robust Physical Adversarial Attacks on UAV Object Detection: A Multi-Dimensional Feature Optimization Approach

Machines
Deep neural network (DNN)-based object detection has been extensively implemented in Unmanned Aerial Vehicles (UAVs). However, these architectures reveal significant vulnerabilities when faced with adversarial attacks, particularly the physically ...
Hailong Xi, Le Ru, Jiwei Tian, Wenfei Wang, Rui Zhu, Shiliang Li, Zhenghao Zhang, Longhao Liu, Xiaohui Luan   +8 more
doaj   +1 more source

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

Archaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban, Rolando Salas López, Angel J. Medina‐Medina, Katerin M. Tuesta‐Trauco, Abner S. Rivera‐Fernandez, Nerci M. Noriega‐Salazar, José A. Sánchez‐Vega, Teodoro B. Silva‐Melendez, Marlen A. Grandez‐Alberca, Jhonsy O. Silva‐López, Nilton B. Rojas‐Briceño, Manuel Oliva‐Cruz, Alexander Cotrina‐Sanchez, Elgar Barboza   +13 more
wiley   +1 more source