Results 121 to 130 of about 1,910,400 (338)

Below Horizon Aircraft Detection Using Deep Learning for Vision-Based Sense and Avoid

, 2019
Commercial operation of unmanned aerial vehicles (UAVs) would benefit from an onboard ability to sense and avoid (SAA) potential mid-air collision threats. In this paper we present a new approach for detection of aircraft below the horizon.
Ford, Jason J., James, Jasmin, Molloy, Timothy L.   +2 more
core   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Drones: Innovative Technology for Use in Precision Pest Management. [PDF]

, 2020
Arthropod pest outbreaks are unpredictable and not uniformly distributed within fields. Early outbreak detection and treatment application are inherent to effective pest management, allowing management decisions to be implemented before pests are well ...
de Lange, Elvira S, Heldens, Wieke B, Iost Filho, Fernando H, Kong, Zhaodan   +3 more
core   +1 more source

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

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

Autonomous localized path planning algorithm for UAVs based on TD3 strategy

Scientific Reports
Unmanned Aerial Vehicles are useful tools for many applications. However, autonomous path planning for Unmanned Aerial Vehicles in unfamiliar environments is a challenging problem when facing a series of problems such as poor consistency, high influence ...
Zhao Feiyu, Li Dayan, Wang Zhengxu, Mao Jianlin, Wang Niya   +4 more
doaj   +1 more source

Smart environment monitoring through micro unmanned aerial vehicles [PDF]

, 2019
In recent years, the improvements of small-scale Unmanned Aerial Vehicles (UAVs) in terms of flight time, automatic control, and remote transmission are promoting the development of a wide range of practical applications.
Pannone, Daniele
core  

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

Technology of Pesticides and Fertilizers Application with Unmanned Aerial Vehicles in Digital Agriculture

Сельскохозяйственные машины и технологии, 2019
Digital agriculture predetermines the development of robotic agricultural technologies for the application of pesticides and fertilizers using unmanned aerial systems, which are based on unmanned aerial vehicles (UAVs) with a certain working load for ...
L. A. Marchenko, A. A. Artushin, I. S. Smirnov, T. V. Mochkova, A. Yu. Spiridonov, R. K. Kurbanov   +5 more
doaj   +1 more source