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 …
An empirical review of deep learning frameworks for change detection: Model design, experimental frameworks, challenges and research needs
M Mandal, SK Vipparthi - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Visual change detection, aiming at segmentation of video frames into foreground and
background regions, is one of the elementary tasks in computer vision and video analytics …
background regions, is one of the elementary tasks in computer vision and video analytics …
AI-empowered speed extraction via port-like videos for vehicular trajectory analysis
X Chen, Z Wang, Q Hua, WL Shang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Automated container terminal (ACT) is considered as port industry development direction,
and accurate kinematic data (speed, volume, etc.) is essential for enhancing ACT operation …
and accurate kinematic data (speed, volume, etc.) is essential for enhancing ACT operation …
Learning dynamic and hierarchical traffic spatiotemporal features with transformer
Traffic forecasting has attracted considerable attention due to its importance in proactive
urban traffic control and management. Scholars and engineers have exerted considerable …
urban traffic control and management. Scholars and engineers have exerted considerable …
Electric vehicle charging demand forecasting using deep learning model
Greenhouse gas (GHG) emission and excessive fuel consumption have become a pressing
issue nowadays. Particularly, CO2 emissions from transportation account for approximately …
issue nowadays. Particularly, CO2 emissions from transportation account for approximately …
Ship detection from coastal surveillance videos via an ensemble Canny-Gaussian-morphology framework
X Chen, J Ling, S Wang, Y Yang, L Luo… - The Journal of …, 2021 - cambridge.org
Coastal surveillance video helps officials to obtain on-site visual information on maritime
traffic situations, which benefits building up the maritime transportation detection …
traffic situations, which benefits building up the maritime transportation detection …
Applications, databases and open computer vision research from drone videos and images: a survey
Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an
emerging application attracting significant attention from researchers in various areas of …
emerging application attracting significant attention from researchers in various areas of …
A real-time and high-precision method for small traffic-signs recognition
J Chen, K Jia, W Chen, Z Lv, R Zhang - Neural Computing and …, 2022 - Springer
As a fundamental element of the traffic system, traffic signs reduce the risk of accidents by
providing essential information about the road condition to drivers, pedestrians, etc. With the …
providing essential information about the road condition to drivers, pedestrians, etc. With the …
Utm-chain: blockchain-based secure unmanned traffic management for internet of drones
Unmanned aerial systems (UAVs) are dramatically evolving and promoting several civil
applications. However, they are still prone to many security issues that threaten public …
applications. However, they are still prone to many security issues that threaten public …
Review on deep learning approaches for anomaly event detection in video surveillance
In the last few years, due to the continuous advancement of technology, human behavior
detection and recognition have become important scientific research in the field of computer …
detection and recognition have become important scientific research in the field of computer …