Results 41 to 50 of about 12,860 (259)

YOLO-UAV: Object Detection Method of Unmanned Aerial Vehicle Imagery Based on Efficient Multi-Scale Feature Fusion

IEEE Access, 2023
As Unmanned Aerial Vehicle (UAV) remote sensing technology progresses, the utilization of deep learning in UAV imagery object detection has become more prevalent.
Chengji Ma, Yanyun Fu, Deyong Wang, Rui Guo, Xueyi Zhao, Jian Fang   +5 more
doaj   +1 more source

Damage Detection and Localisation using UAV/ Drone with Object Detection

Procedia Computer Science, 2023
Detecting structural damage is a fundamental process for visually assessing the quality of any building, such as a bridge or skyscraper. Unfortunately, access to inspect buildings, especially in the case of very tall buildings, is usually not immediate, and in any case, it is difficult.
Martinelli F., Mercaldo F., Santone A.
openaire   +2 more sources

Mechanisms of Degradation in Li‐Ion Batteries Under Low Temperature Exposures

Advanced Functional Materials, EarlyView.
Low‐temperature exposures, or freeze‐thaw cycles, are observed to significantly accelerate the degradation of Li‐ion batteries. A combination of electrolyte phase separation and mechanochemical stress leads to reversible and irreversible performance losses.
Mihir Ojha, Shervin Alaei, Jayanth Ramamurthy, Luke P. Lounsbury, Md Mahdi Ul Ishtiaque, Stuart Leland, Niraj P. Atale, Sourav Das, Siddhartha Pathak, Pranav Shrotriya, Steve W. Martin, Todd A. Kingston, Cary L. Pint   +12 more
wiley   +1 more source

An All-Time Detection Algorithm for UAV Images in Urban Low Altitude

Drones
With the rapid development of urban air traffic, Unmanned Aerial Vehicles (UAVs) are gradually being widely used in cities. Since UAVs are prohibited over important places in Urban Air Mobility (UAM), such as government and airports, it is important to ...
Yuzhuo Huang, Jingyi Qu, Haoyu Wang, Jun Yang   +3 more
doaj   +1 more source

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

Advanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo, Jiahui Zhang, Yimin Han, Ji Ma, Minghao Lu, Ioannis Havoutis, Peng Lu   +6 more
wiley   +1 more source

Collision‐Resilient Winged Drones Enabled by Tensegrity Structures

Advanced Robotics Research, EarlyView.
Based on structures of birds such as the woodpeck, this article presents the collision‐resilient aerial robot, SWIFT. SWIFT leverages tensegrity structures in the fuselage and wings which allow it to undergo large deformations in a crash, without sustaining damage. Experiments show that SWIFT can reduce impact forces by 70% over conventional structures.
Omar Aloui, Raphael Zufferey, William Stewart, Mohammad Askari, Simon Jeger, Dario Floreano   +5 more
wiley   +1 more source

Small UAV Target Detection Algorithm Using the YOLOv8n-RFL Based on Radar Detection Technology

Sensors
To improve the unmanned aerial vehicle (UAV) detection and recognition rate based on radar detection technology, this paper proposes to take the radar range-Doppler planar graph that characterizes the echo information of the UAV as the input of the ...
Zhijun Shi, Zhiyong Lei
doaj   +1 more source

Task‐Oriented Path Planning Towards Autonomous Sensor Network Deployment in Rainforest Canopies

Advanced Robotics Research, EarlyView.
An informative path planner for drone‐based deployment of wireless sensor networks in rainforest canopies is presented, addressing key challenges in large‐scale biodiversity monitoring. By integrating canopy surface detection with connectivity‐aware sampling under strict flight constraints, the approach enables efficient and reliable aerial sensor ...
Rita Santos Raminhos, Salua Hamaza
wiley   +1 more source

A Lightweight Feature Enhancement Model for UAV Detection in Real-World Scenarios

Drones
Real-time Unmanned Aerial Vehicle (UAV) detection is a growing research field centered on advanced computer vision and deep learning algorithms. However, the rise of unmanned aerial vehicles (UAVs) has sparked numerous concerns due to their potential for
Yanan Han, Xufei Yan, Yuan Li, Danyang Li, Xiaochao Liu, Haishan Huang, Dawei Bie   +6 more
doaj   +1 more source

Contour Detection for UAV-Based Cadastral Mapping [PDF]

Remote Sensing, 2017
Unmanned aerial vehicles (UAVs) provide a flexible and low-cost solution for the acquisition of high-resolution data. The potential of high-resolution UAV imagery to create and update cadastral maps is being increasingly investigated. Existing procedures generally involve substantial fieldwork and many manual processes.
Sophie Crommelinck, Rohan Bennett, Markus Gerke, Michael Ying Yang, George Vosselman   +4 more
openaire   +4 more sources