Extracting road traffic volume in the city before and during COVID-19 through video remote sensing

E Macioszek, A Kurek - Remote Sensing, 2021 - mdpi.com
Continuous, automatic measurements of road traffic volume allow the obtaining of
information on daily, weekly or seasonal fluctuations in road traffic volume. They are the …

Spatial temporal analysis of traffic patterns during the COVID-19 epidemic by vehicle detection using planet remote-sensing satellite images

Y Chen, R Qin, G Zhang, H Albanwan - Remote Sensing, 2021 - mdpi.com
The spread of the COVID-19 since the end of 2019 has reached an epidemic level and has
quickly become a global public health crisis. During this period, the responses for COVID-19 …

Vaid: An aerial image dataset for vehicle detection and classification

HY Lin, KC Tu, CY Li - IEEE Access, 2020 - ieeexplore.ieee.org
The availability of commercial UAVs and low-cost imaging devices has made the airborne
imagery popular and widely available. The aerial images are now extensively used for many …

Privacy-preserving location-based traffic density monitoring

L Wu, X Wei, L Meng, S Zhao, H Wang - Connection Science, 2022 - Taylor & Francis
Traffic density monitoring is an important method to predict road traffic conditions, which can
bring some convenience to people's travel in daily life. The common method of traffic density …

[HTML][HTML] Extracting key traffic parameters from UAV video with on-board vehicle data validation

D Shan, T Lei, X Yin, Q Luo, L Gong - Sensors, 2021 - mdpi.com
The advantages of UAV video in flexibility, traceability, easy-operation, and abundant
information make it a popular and powerful aerial tool applied in traffic monitoring in recent …

An adaptive deblurring vehicle detection method for high-speed moving drones: resistance to shake

Y Liu, J Wang, T Qiu, W Qi - Entropy, 2021 - mdpi.com
Vehicle detection is an essential part of an intelligent traffic system, which is an important
research field in drone application. Because unmanned aerial vehicles (UAVs) are rarely …

A small object detection network for remote sensing based on CS-PANet and DSAN

J Zhang, B Liu, H Zhang, L Zhang, F Wang… - Multimedia Tools and …, 2024 - Springer
The proportion of small objects in remote sensing images is relatively small, which is prone
to feature loss or interference from the surrounding complex background in the detection …

Developing 3D Virtual Safety Risk Terrain for UAS Operations in Complex Urban Environments

Z Gao, JP Clarke, J Mardanov, K Marais - arXiv preprint arXiv:2310.12349, 2023 - arxiv.org
Unmanned Aerial Systems (UAS), an integral part of the Advanced Air Mobility (AAM) vision,
are capable of performing a wide spectrum of tasks in urban environments. The societal …

Integrated Communication, Navigation, and Remote Sensing in LEO Networks with Vehicular Applications

M Sheng, C Guo, L Huang - arXiv preprint arXiv:2404.10969, 2024 - arxiv.org
Traditionally, communication, navigation, and remote sensing (CNR) satellites are
separately performed, leading to resource waste, information isolation, and independent …

Detecting moving trucks on roads using Sentinel-2 data

H Fisser, E Khorsandi, M Wegmann, F Baier - Remote Sensing, 2022 - mdpi.com
In most countries, freight is predominantly transported by road cargo trucks. We present a
new satellite remote sensing method for detecting moving trucks on roads using Sentinel-2 …