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 …
Vehicle detection from UAV imagery with deep learning: A review
Vehicle detection from unmanned aerial vehicle (UAV) imagery is one of the most important
tasks in a large number of computer vision-based applications. This crucial task needed to …
tasks in a large number of computer vision-based applications. This crucial task needed to …
Deep learning for unmanned aerial vehicle-based object detection and tracking: A survey
Owing to effective and flexible data acquisition, unmanned aerial vehicles (UAVs) have
recently become a hotspot across the fields of computer vision (CV) and remote sensing …
recently become a hotspot across the fields of computer vision (CV) and remote sensing …
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 …
[HTML][HTML] Multi-object tracking in traffic environments: A systematic literature review
The use of computer vision techniques to detect objects in images has grown in recent
years. These techniques are especially useful to automatically extract and analyze …
years. These techniques are especially useful to automatically extract and analyze …
Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditions.
Vehicle detection and recognition in drone images is a complex problem that has been used
for different safety purposes. The main challenge of these images is captured at oblique …
for different safety purposes. The main challenge of these images is captured at oblique …
Performance evaluation and analysis of drone-based vehicle detection techniques from deep learning perspective
From smart cities development perspective, road vehicle detection exploiting drone-based
aerial imagery is a crucial part of traffic surveillance and monitoring systems where effective …
aerial imagery is a crucial part of traffic surveillance and monitoring systems where effective …
Deep learning serves traffic safety analysis: A forward‐looking review
This paper explores deep learning (DL) methods that are used or have the potential to be
used for traffic video analysis, emphasising driving safety for both autonomous vehicles and …
used for traffic video analysis, emphasising driving safety for both autonomous vehicles and …
Moving vehicle detection and tracking at roundabouts using deep learning with trajectory union
The number of vehicles and turning movements at roundabouts provide important
information for planning, design and operational analysis of roundabouts. The visual data …
information for planning, design and operational analysis of roundabouts. The visual data …
A novel keypoint supplemented R-CNN for UAV object detection
J Butler, H Leung - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Aerial imagery and remote sensing applications are excellent examples of environments
that challenge current deep learning-based object detection architectures due to the images …
that challenge current deep learning-based object detection architectures due to the images …