Results 61 to 70 of about 62,896 (257)
: In this work, Voxel‐SLAM (simultaneous localization and mapping) is introduced: a complete, accurate, and versatile LiDAR (light detection and ranging) ‐inertial SLAM system consisting of five modules: initialization, odometry, local mapping (LM), loop closure (LC), and global mapping (GM), all employing the same map representation, an adaptive voxel
Zheng Liu +9 more
wiley +1 more source
Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs
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 +2 more
wiley +1 more source
Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs) are commonly used for various purposes, and their cooperative systems have been developed to enhance their capabilities. However, tracking and interacting with dynamic UAVs poses several
Haojun Luo, Chih-Yung Wen
doaj +1 more source
Mitigating ground effect on mini quadcopters with model reference adaptive control [PDF]
Mitigating ground effect becomes a big challenge for autonomous aerial vehicles when they are flying in close proximity to the ground. This paper aims to develop a precise model of ground effect on mini quadcopters, provide an advanced control algorithm ...
Chan, SN, Kong, Z, Lee, S, Wei, P
core
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 +5 more
wiley +1 more source
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 +13 more
wiley +1 more source
UAV Air-to-Ground Channel Characterization for mmWave Systems
Communication at mmWave bands carries critical importance for 5G wireless networks. In this paper, we study the characterization of mmWave air-to-ground (AG) channels for unmanned aerial vehicle (UAV) communications.
Guvenc, Ismail +2 more
core +1 more source
ABSTRACT In Upper Mesopotamia, the transition from the Pre‐Pottery Neolithic A (PPNA) to Pre‐Pottery Neolithic B (PPNB) period, ca. 10 800–10 600 cal. BP, is marked by a series of changes in chipped stone industries, architectural forms, symbolic objects, regional distribution of settlements and long‐distance exchange networks among others.
Toshihiro Tada +7 more
wiley +1 more source
The Use of Unmanned Aerial Vehicles (UAVs) Equipped with a Thermal Imaging Camera in the Activities of the Fire Service in Poland. Suggested Parameters and Settings [PDF]
Aim: The aim of this article is to present the current use and potential solutions for using unmanned aerial vehicles (UAVs) equipped with thermal imaging cameras in firefighting operations.
Maciej Zawistowski +2 more
doaj +1 more source
Perception is Everything: Repairing the Image of American Drone Warfare [PDF]
This thesis will trace the United States’ development of unmanned warfare from its initial use in the World Wars through the Cold War to its final maturation in the War on Terror.
Tubbs, Luke
core +1 more source

