Results 91 to 100 of about 2,766 (193)

Bridging Probabilistic Inference and Behavior Trees: An Interactive Method for Adaptive Collaborative Behavior Decision-Making of Multi-UAVs

Drones
This paper presents an interactive inference behavior tree (IIBT) framework, integrating behavior trees (BTs) with interactive inference based on the free energy principle for distributed decision-making in multi-UAV (unmanned aerial vehicle) systems ...
Chaoran Wang, Jingyuan Sun, Yanhui Zhang, Changju Wu   +3 more
doaj   +1 more source

Exploration and Exploitation: A Study on Sample Efficiency in Reinforcement Learning With Multifaceted Curiosity Rewards and Adaptive Experience Replay Utilisation in Sparse Reward Environments

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In recent years, the widespread application of deep reinforcement learning (DRL) in autonomous systems has highlighted the importance of achieving high sample efficiency under sparse reward conditions. To improve sample efficiency in sparse reward environments, this paper proposes a reinforcement learning framework built upon the Soft Actor ...
Jingyi Huang, Guipeng Xi, Meixiu Lin, Haohui Zhang, Bo Li, Evgeny Neretin   +5 more
wiley   +1 more source

An Efficient and Accurate UAV State Estimation Method with Multi-LiDAR–IMU–Camera Fusion

Drones
State estimation plays a vital role in UAV navigation and control. With the continuous decrease in sensor cost and size, UAVs equipped with multiple LiDARs, Inertial Measurement Units (IMUs), and cameras have attracted increasing attention.
Junfeng Ding, Pei An, Kun Yu, Tao Ma, Bin Fang, Jie Ma   +5 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

Benchmarking MARL for UAV-Assisted Mobile Edge Computing Under Realistic 3D Collision Avoidance Navigation Constraints for Periodic Task Offloading

Technologies
The rapid growth of Internet of Things (IoT) and Industrial IoT applications has intensified the demand for low-latency and reliable computation support for deadline-constrained periodic real-time tasks.
Jiacheng Gu, Qingxu Meng, Qiurui Sun, Bing Zhu, Songnan Zhao, Shaode Yu   +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

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

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe, Yazhou Sun, Sanai Li, Wenxuan Guo   +3 more
wiley   +1 more source

AGIcam: An open‐source Internet of Things–based camera system for automated in‐field phenotyping and yield prediction

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Continuous, high‐frequency monitoring is essential to capture rapid phenological transitions and dynamic crop responses to the environment. However, most phenotyping platforms lack the temporal resolution and automation required for consistent, season‐long trait assessment.
Worasit Sangjan, Nisit Pukrongta, Trevor Buchanan, Arron H. Carter, Michael O. Pumphrey, Sindhuja Sankaran   +5 more
wiley   +1 more source

Enhancing Integrated Navigation with a Self-Attention LSTM Hybrid Network for UAVs in GNSS-Denied Environments

Drones
Performing long-duration navigation without the global navigation satellite system (GNSS) network is a challenging task, particularly for small unmanned aerial vehicles (UAVs) equipped with low-cost micro-electro-mechanical sensors. This study proposes a
Ziyi Wang, Xiaojun Shen, Jie Li, Juan Li, Xueyong Wu, Yu Yang   +5 more
doaj   +1 more source