Proceedings ArticleDOI
Statistical profile generation for traffic monitoring using real-time UAV based video data
A. Puri,Kimon P. Valavanis,M. Kontitsis +2 more
- pp 1-6
TLDR
The eye-in-the-sky alternative to collecting real-time temporal/spatial data using small unmanned helicopters is proposed to monitor traffic, evaluate and assess traffic patterns and provide accurate vehicle counts.Abstract:
The eye-in-the-sky alternative to collecting real-time temporal/spatial data using small unmanned helicopters is proposed to: monitor traffic, evaluate and assess traffic patterns and provide accurate vehicle counts. Collected real-time visual data are converted to traffic statistical profiles and used as continuously updated inputs to existing traffic simulation models improving calibration, accuracy (in terms of variable parameter values) and future traffic predictions. Functionality of simulation models is enhanced, and reliability is improved The proposed approach offers significant advantages over conventional methods where historical and outdated data is used to run poorly calibrated traffic simulation models.read more
Citations
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Journal ArticleDOI
UAV for 3D mapping applications: a review
Francesco Nex,Fabio Remondino +1 more
TL;DR: The paper reports the state of the art of UAV for geomatics applications, giving an overview of different UAV platforms, applications, and case studies, showing also the latest developments of Uav image processing.
Book
Unmanned Aerial Vehicles: A Survey on Civil Applications and Key Research Challenges
Hazim Shakhatreh,Ahmad Sawalmeh,Ahmad Sawalmeh,Ala Al-Fuqaha,Ala Al-Fuqaha,Zuochao Dou,Eyad Almaita,Issa Khalil,Noor Shamsiah Othman,Abdallah Khreishah,Mohsen Guizani +10 more
TL;DR: The use of unmanned aerial vehicles (UAVs) is growing rapidly across many civil application domains, including real-time monitoring, providing wireless coverage, remote sensing, search and rescue, delivery of goods, security and surveillance, precision agriculture, and civil infrastructure inspection.
Journal ArticleDOI
Uav photogrammetry for mapping and 3d modeling - current status and future perspectives -
TL;DR: The paper reports the latest developments of UAV image processing methods for photogrammetric applications, mapping and 3D modeling issues.
Proceedings ArticleDOI
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems
TL;DR: In this paper, the authors proposed a novel method to measure data from an aerial perspective for scenario-based validation fulfilling the mentioned requirements, and provided a large-scale naturalistic vehicle trajectory dataset from German highways called highD.
Proceedings ArticleDOI
A survey of unmanned aerial vehicles (UAVs) for traffic monitoring
TL;DR: The focus of this paper is on surveying UAV-based systems for traffic monitoring and management, providing the eye-in-the-sky solution to the problem.
References
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Proceedings ArticleDOI
Generating Traffic Statistical Profiles Using Unmanned Helicopter-Based Video Data
TL;DR: Small unmanned vertical take off and landing vehicles are used to provide the eye-in-the-sky alternative to monitoring and regulating traffic dynamically, overcomes limitations of existing traffic simulation models.
Proceedings ArticleDOI
Real-time measurement of traffic queue parameters by using image processing techniques
TL;DR: The present authors describe image processing techniques together with the results to measure the queue traffic parameters in real-time, and show that the proposed algorithms are able to measure various queue parameters such as queue detection, length of the queue, period of the occurrence of the queues, slope of thequeue etc.
AUTOMATIC TRANSFORMATION OF VIDEO IMAGE DATA FROM UAVs INTO TRAFFIC INFORMATION FOR SIMULATION MODEL CALIBRATION
TL;DR: The UAVs' on-board vision systems developed in this study apply image processing techniques to derive real-time traffic information from the video data and discusses an approach to automatically convert traffic information into statistical profiles for calibrating traffic simulation models.