Results 81 to 90 of about 5,012,490 (221)

Ultra-Wideband Implementation of Object Detection Through Multi-UAV Navigation with Particle Swarm Optimization

International Journal of Technology
Unmanned aerial vehicles (UAV) are widely used in literature for object detection utilizing convolutional neural networks (CNN). However, most UAVs make use of GNSS sensors for localization, which have low reception in indoor situations.
Carlos James P. De Guzman, Joses S. Sorilla, Alvin Y. Chua, Timothy Scott C. Chu   +3 more
doaj   +1 more source

Brain‐Inspired Neuromorphic Device for Artificial Intelligent Robots Applications

SmartBot, EarlyView.
Brain‐inspired neuromorphic devices mimic biological systems to provide an efficient hardware foundation for embodied intelligent robotics. This review explores the material systems and corresponding computing architectures of neuromorphic devices that support low‐power perception, adaptive learning, and real‐time decision‐making.
Jiachen Han, Zheng Wang, Tianyu Wang, Jialin Meng   +3 more
wiley   +1 more source

Comparative Evaluation of Reinforcement Learning Algorithms for Multi-Agent Unmanned Aerial Vehicle Path Planning in 2D and 3D Environments

Drones
Path planning in multi-agent UAV swarms is a crucial issue that involves avoiding collisions in dynamic, obstacle-filled environments while consuming the least amount of time and energy possible. This work comprehensively evaluates reinforcement learning
Mirza Aqib Ali, Adnan Maqsood, Usama Athar, Hasan Raza Khanzada   +3 more
doaj   +1 more source

Vision language models for bridge inspections: A review of applications in image‐based damage documentation

Structural Concrete, EarlyView.
Abstract Automating bridge inspections requires more than detecting individual damage instances. It demands systems capable of describing, contextualizing, and interpreting damage in an inspection‐relevant manner. Conventional computer vision approaches, such as object detection and segmentation, primarily address visual recognition tasks and are ...
Rona Firdes Çelik, Ulas Bagci, Sylvia Kessler   +2 more
wiley   +1 more source

Drone‐based radiotelemetry and imagery systems provide an advantage over traditional techniques for estimating survival of dependent juveniles

Wildlife Society Bulletin, EarlyView.
We used drone‐based radiotelemetry and multispectral imagery to estimate detection and survival probabilities of blue‐winged teal broods in Saskatchewan, Canada. Weekly brood survival probabilities, estimated via Cormack‐Jolly‐Seber models, increased with age and were comparable between drone methods.
Grant A. Rhodes, Dylan L. Bakner, Hannah C. Sabatier, Benjamin S. Sedinger, Christopher A. Nicolai, Kevin M. Ringelman   +5 more
wiley   +1 more source

Modeling, identification and navigation of autonomous air vehicles [PDF]

, 2013
The main interest of this work is autonomous navigation of autonomous air vehicles, specifically quadrotor helicopters (quadrocopters), and the focus is on convergence to a target destination with collision avoidance.
Vanin, Matteo
core  

MASP: Scalable Graph-Based Planning Towards Multi-UAV Navigation

Drones
This work investigates multi-UAV navigation tasks where multiple drones need to reach initially unassigned goals in a limited time. Reinforcement learning (RL) has recently become a popular approach for such tasks.
Xinyi Yang, Xinting Yang, Chao Yu, Jiayu Chen, Wenbo Ding, Huazhong Yang, Yu Wang   +6 more
doaj   +1 more source

Developing a low‐cost drone‐based method for deploying and retrieving autonomous recording units in inaccessible areas

Wildlife Society Bulletin, EarlyView.
Autonomous recording units (ARUs) are increasingly used for passive acoustic monitoring, but deploying them in remote or inaccessible locations remains challenging. We developed and field‐tested a lightweight, low‐cost floating platform for drone‐assisted deployment and retrieval of ARUs in wetland interiors.
Akshit R. Suthar, Jared A. Elmore, Erin K. Buchholtz, Travis H. Folk, Beau A. Bauer, Aaron R. Pierce, James T. Anderson   +6 more
wiley   +1 more source

A Systematic Literature Review on Spoofing and Jamming Approaches in Unmanned Aerial Vehicles Navigation

Journal of Aerospace Technology and Management
In the past decade, there has been a significant increase in the development and utilization of unmanned aerial vehicles (UAVs) across various industries. Factors such as remote control, payload capacity, versatility, precision, and confidentiality have
Simegnew Eshetu Meheret,  Ethiopia Nigussie , Gebeyehu Belay Gebremeskel, Serkalem Yikeber  Hailesilassie   +3 more
doaj  

Waypoint Navigation of a 2D Drone in Stochastic Environment via Regularised Proximal Policy Optimisation

Artificial Intelligence for Engineering, EarlyView.
We present a three‐stage training framework combining Behaviour Cloning warm‐starting with auxiliary‐regularised Deep Reinforcement Learning PPO fine‐tuning for 2D drone waypoint navigation under stochastic wind. Persistent imitation regularisation prevents catastrophic forgetting, achieving robust generalisation to unseen targets and out‐of ...
Ahmet Bilgehan Serçe, Necati Aksoy
wiley   +1 more source