Results 181 to 190 of about 1,896,429 (329)

Evaluating machine learning models for multi‐species wildlife detection and identification on remote sensed nadir imagery in South African savanna

Wildlife Biology, EarlyView.
This research paper investigates the efficacy of leading machine learning (ML) models for detecting and identifying ungulate species in African savanna using nadir imagery from unmanned aerial vehicles (UAVs). Traditional aerial counting methods, while widely used, suffer from significant limitations in accuracy and precision, in part due to human ...
Paul Allin, Fadel Seydou, Radloff Frans, Andrew Davies, Alison Leslie   +4 more
wiley   +1 more source

A smart energy management system for surface unmanned vehicles for border surveillance missions. [PDF]

Sci Rep
Fernandes JFP, Assunção M, Serrano D, Afonso P, Pinheiro P, Marques H, Neves J, Teodoro P, Póvoa R, Marat-Mendes R, Costa Branco PJ.   +10 more
europepmc   +1 more source

Estimating red deer Cervus elaphus population density using drones in a steep and rugged terrain

Wildlife Biology, EarlyView.
Precise and accurate information about population density, crucial for wildlife management, is difficult to obtain for elusive species living in dense forests or steep and inaccessible terrain. Using unmanned aerial vehicles (UAVs), we developed a method for obtaining absolute population estimates of ungulates living in steep, rugged, and partly ...
Julie Bommerlund, Torbjørn Ergon, Simon Filhol, Atle Mysterud   +3 more
wiley   +1 more source

Trajectory Planning for Unmanned Vehicles on Airport Apron Under Aircraft-Vehicle-Airfield Collaboration. [PDF]

Sensors (Basel)
Yuan D, Zhong Y, Zhu X, Chen Y, Jin Y, Du X, Tang K, Huang T.   +7 more
europepmc   +1 more source

New Approaches to the Integration of Navigation Systems for Autonomous Unmanned Vehicles (UAV). [PDF]

Sensors (Basel), 2018
Konovalenko I, Kuznetsova E, Miller A, Miller B, Popov A, Shepelev D, Stepanyan K.   +6 more
europepmc   +1 more source

Construction of dynamic trafficability map for unmanned vehicles considering multiple environmental factors and path planning. [PDF]

Sci Rep
Liu Q, You X, Zhang X, Zuo J.
europepmc   +1 more source

Formation Generation for Multiple Unmanned Vehicles Using Multi-Agent Hybrid Social Cognitive Optimization Based on the Internet of Things. [PDF]

Sensors (Basel), 2019
Yao Z, Wu S, Wen Y.
europepmc   +1 more source

Dynamic Adaptive Label Assignment for Tiny Object Detection in Remote Sensing Images

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT With the development of unmanned aerial vehicle and satellite technology, the application of tiny object detection in remote sensing images is becoming increasingly widespread. Although significant progress has been made in the accuracy and speed of object detection in recent years, performance declines sharply when general object detectors ...
Shuohao Shi, Qiang Fang, Xin Xu
wiley   +1 more source

Study of Global Navigation Satellite System Receivers' Accuracy for Unmanned Vehicles. [PDF]

Sensors (Basel)
Miletiev R, Petkov PZ, Yordanov R, Brusev T.   +3 more
europepmc   +1 more source

Dynamic Resource Allocation Optimisation and Security‐Resilient Control for Bandwidth‐Limited Network Control Systems With Data Conflicts

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Networked control systems (NCSs) often suffer from performance degradation due to limited communication bandwidth, which can cause data transmission conflicts and packet loss. Existing scheduling strategies may fail to simultaneously meet the real‐time requirements and the importance of multisensor data, and they are particularly vulnerable ...
Da Chen, Kaibo Shi, Bin Guo, Kangkang Sun, Huaicheng Yan, Xiao Cai   +5 more
wiley   +1 more source