Applications of unmanned aerial vehicle (UAV) in road safety, traffic and highway infrastructure management: Recent advances and challenges
For next-generation smart cities, small UAVs (also known as drones) are vital to incorporate
in airspace for advancing the transportation systems. This paper presents a review of recent …
in airspace for advancing the transportation systems. This paper presents a review of recent …
Survey of computer vision algorithms and applications for unmanned aerial vehicles
This paper presents a complete review of computer vision algorithms and vision-based
intelligent applications, that are developed in the field of the Unmanned Aerial Vehicles …
intelligent applications, that are developed in the field of the Unmanned Aerial Vehicles …
Real-time traffic flow parameter estimation from UAV video based on ensemble classifier and optical flow
Recently, the availability of unmanned aerial vehicle (UAV) opens up new opportunities for
smart transportation applications, such as automatic traffic data collection. In such a trend …
smart transportation applications, such as automatic traffic data collection. In such a trend …
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 …
Real-time bidirectional traffic flow parameter estimation from aerial videos
Unmanned aerial vehicles (UAVs) are gaining popularity in traffic monitoring due to their low
cost, high flexibility, and wide view range. Traffic flow parameters such as speed, density …
cost, high flexibility, and wide view range. Traffic flow parameters such as speed, density …
Domain adaptation from daytime to nighttime: A situation-sensitive vehicle detection and traffic flow parameter estimation framework
Vehicle detection in traffic surveillance images is an important approach to obtain vehicle
data and rich traffic flow parameters. Recently, deep learning based methods have been …
data and rich traffic flow parameters. Recently, deep learning based methods have been …
Vehicle trajectory prediction at intersections using interaction based generative adversarial networks
Vehicle trajectory prediction at intersections is both essential and challenging for
autonomous vehicle navigation. This problem is aggravated when the traffic is …
autonomous vehicle navigation. This problem is aggravated when the traffic is …
TAU: A framework for video-based traffic analytics leveraging artificial intelligence and unmanned aerial systems
Smart traffic engineering and intelligent transportation services are in increasing demand
from governmental authorities to optimize traffic performance and thus reduce energy costs …
from governmental authorities to optimize traffic performance and thus reduce energy costs …
Vehicle counting based on vehicle detection and tracking from aerial videos
X Xiang, M Zhai, N Lv, A El Saddik - Sensors, 2018 - mdpi.com
Vehicle counting from an unmanned aerial vehicle (UAV) is becoming a popular research
topic in traffic monitoring. Camera mounted on UAV can be regarded as a visual sensor for …
topic in traffic monitoring. Camera mounted on UAV can be regarded as a visual sensor for …
An appearance-based tracking algorithm for aerial search and rescue purposes
The automation of the Wilderness Search and Rescue (WiSAR) task aims for high levels of
understanding of various scenery. In addition, working in unfriendly and complex …
understanding of various scenery. In addition, working in unfriendly and complex …