Results 91 to 100 of about 5,012,490 (221)

Enhancing GRU-Based DRL with Delta-LiDAR for Robust UAV Navigation in Partially Observable Dynamic Environments [PDF]

Partial observability and sensor limitations are challenging for the navigation of autonomous Unmanned Aerial Vehicles (UAVs). Deep Reinforcement Learning (DRL) algorithms have emerged as potential tools in advancing this field.
Khudher, Dhayaa Raissan; Lecturer/Researcher, Department of Computer Engineering, University of Basrah, Basrah, Iraq. Research interests: machine learning for control, robotics, UAV systems., Haddad, Maryam Allawi; M.Sc. Student, Department of Computer Engineering, University of Basrah, Iraq   +1 more
core   +1 more source

Enhancing Unmanned Aerial Vehicle Path Planning in Multi-Agent Reinforcement Learning through Adaptive Dimensionality Reduction

Drones
Unmanned Aerial Vehicles (UAVs) have become increasingly important in various applications, including environmental monitoring, disaster response, and surveillance, due to their flexibility, efficiency, and ability to access hard-to-reach areas ...
Haotian Shi, Zilin Zhao, Jiale Chen, Mengjie Zhou, Yang Liu   +4 more
doaj   +1 more source

Research on Self‐Identification Technology of Zero‐Value Insulators in Distribution Lines Based on Electroluminescence Effect

High Voltage, EarlyView.
ABSTRACT To address the issue of low detection accuracy for zero‐value insulators in distribution lines, this study proposes a novel method for detecting these insulators based on the electroluminescence effect. Through theoretical analysis and experimentation, it was found that the luminescence intensity of ZnS:Cu electroluminescent material varies ...
Jianghai Geng, Minghongtian Chen, Yunpeng Liu, Bo Peng, Yuming Zhang, Songsong Zhou, Ping Wang   +6 more
wiley   +1 more source

Research on Embodied Intelligence Technology for Electric Power Equipment Based on Large‐Scale Pre‐Trained Models

High Voltage, EarlyView.
ABSTRACT With the development of electric power artificial intelligence (AI) technology, many complicated challenges emerged during application. Traditional AI algorithms work well in specialised tasks such as detection and classification. However, they are unlikely to solve general problems.
Yuanpeng Tan, Rui Song, Ankai Zhang, Wenhao Mo, Wenjin Ji   +4 more
wiley   +1 more source

Enabling UAV Navigation with Sensor and Environmental Uncertainty in Cluttered and GPS-Denied Environments [PDF]

, 2016
Unmanned Aerial Vehicles (UAV) can navigate with low risk in obstacle-free environments using ground control stations that plan a series of GPS waypoints as a path to follow.
Vanegas, Fernando, Felipe Gonzalez, Fernando Vanegas, Gonzalez, Felipe   +3 more
core   +1 more source

From LiDAR point clouds to 3D tree morphometrics: New approach to quantitatively evaluate tree shapes

Methods in Ecology and Evolution, EarlyView.
Abstract Tree crowns are complex, three‐dimensional structures whose morphology varies among species, individuals and environments. Although light detection and ranging (LiDAR) provides high‐resolution, single‐tree point clouds that advance species discrimination and the assessment of intraspecific variation in situ, crown shape is still commonly ...
Ladislav Hodač, Tristan Nauber, Jana Wäldchen, Kevin Karbstein, Anton Wetzel, Patrick Mäder   +5 more
wiley   +1 more source

Mamba-VNPS: A Visual Navigation and Positioning System with State-Selection Space

Drones
This study was designed to address the challenges of autonomous navigation facing UAVs in urban air mobility environments without GPS. Unlike traditional localization methods that rely heavily on GPS and pre-mapped routes, Mamba-VNPS leverages a self ...
Longyang Huang, Zhiyuan Wang, Qiankai Xiong, Ruokun Qu, Chenghao Yao, Chenglong Li   +5 more
doaj   +1 more source

A Survey of Methods for Constructing 3D Urban Models From Point Clouds

Computer Graphics Forum, EarlyView.
The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo, Silvia Biasotti, Bianca Falcidieno, Daniela Cabiddu, Elia Moscoso Thompson, Michela Spagnuolo   +5 more
wiley   +1 more source

Depth Image Processing for Obstacle Avoidance of an Autonomous VTOL UAV [PDF]

, 2006
We describe a new approach for stereo-based obstacle avoidance. This method analyzes the images of a stereo camera in realtime and searches for a safe target point that can be reached without collision.
Thielecke, Frank, Andert, Franz, Strickert, Gordon   +2 more
core  

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source