[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 …
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
Unmanned aerial vehicles (UAVs) are gaining considerable interest in transportation
engineering in order to monitor and analyze traffic. This systematic review surveys the …
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 …
important for at least two main reasons. First, the number of speed cameras installed …
A systematic review of drone based road traffic monitoring system
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 …
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
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 …
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
Unmanned Aerial Vehicles (UAVs) have immense potential to enhance Intelligent Transport
Systems (ITS) by aiding in real-time traffic monitoring, emergency response, and …
Systems (ITS) by aiding in real-time traffic monitoring, emergency response, and …
Road traffic monitoring from UAV images using deep learning networks
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) …
vehicles on roads automatically from videos recorded using unmanned aerial vehicle (UAV) …
Security in internet of drones: A comprehensive review
Abstract Unmanned Aerial Vehicles (UAVs), also called drones, are used for various
applications with two basic classifications: civilian and military drones. Civilian drones are …
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
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 …
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 …
maritime supervision efficiency and enable timely safety warnings. Ship detection and …