[HTML][HTML] A review on unmanned aerial vehicle remote sensing: Platforms, sensors, data processing methods, and applications

Z Zhang, L Zhu - drones, 2023 - mdpi.com
In recent years, UAV remote sensing has gradually attracted the attention of scientific
researchers and industry, due to its broad application prospects. It has been widely used in …

Urban traffic monitoring and analysis using unmanned aerial vehicles (UAVs): A systematic literature review

EV Butilă, RG Boboc - Remote Sensing, 2022 - mdpi.com
Unmanned aerial vehicles (UAVs) are gaining considerable interest in transportation
engineering in order to monitor and analyze traffic. This systematic review surveys the …

Vision‐based vehicle speed estimation: A survey

D Fernández Llorca… - IET Intelligent …, 2021 - Wiley Online Library
The need to accurately estimate the speed of road vehicles is becoming increasingly
important for at least two main reasons. First, the number of speed cameras installed …

A systematic review of drone based road traffic monitoring system

I Bisio, C Garibotto, H Haleem, F Lavagetto… - Ieee …, 2022 - ieeexplore.ieee.org
Drone deployment has become crucial in a variety of applications, including solutions to
traffic issues in metropolitan areas and highways. On the other hand, data collected via …

MultEYE: Monitoring system for real-time vehicle detection, tracking and speed estimation from UAV imagery on edge-computing platforms

N Balamuralidhar, S Tilon, F Nex - Remote sensing, 2021 - mdpi.com
We present MultEYE, a traffic monitoring system that can detect, track, and estimate the
velocity of vehicles in a sequence of aerial images. The presented solution has been …

Machine learning for uav-aided its: A review with comparative study

A Telikani, A Sarkar, B Du… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) have immense potential to enhance Intelligent Transport
Systems (ITS) by aiding in real-time traffic monitoring, emergency response, and …

Road traffic monitoring from UAV images using deep learning networks

S Byun, IK Shin, J Moon, J Kang, SI Choi - Remote Sensing, 2021 - mdpi.com
In this paper, we propose a deep neural network-based method for estimating speed of
vehicles on roads automatically from videos recorded using unmanned aerial vehicle (UAV) …

Security in internet of drones: A comprehensive review

S Samanth, P KV, M Balachandra - Cogent Engineering, 2022 - Taylor & Francis
Abstract Unmanned Aerial Vehicles (UAVs), also called drones, are used for various
applications with two basic classifications: civilian and military drones. Civilian drones are …

A survey of methods and technologies for congestion estimation based on multisource data fusion

D Cvetek, M Muštra, N Jelušić, L Tišljarić - Applied Sciences, 2021 - mdpi.com
Traffic congestion occurs when traffic demand is greater than the available network capacity.
It is characterized by lower vehicle speeds, increased travel times, arrival unreliability, and …

A Ship Tracking and Speed Extraction Framework in Hazy Weather Based on Deep Learning

Z Zhou, J Zhao, X Chen, Y Chen - Journal of Marine Science and …, 2023 - mdpi.com
Obtaining ship navigation information from maritime videos can significantly improve
maritime supervision efficiency and enable timely safety warnings. Ship detection and …