Access the full text.
Sign up today, get DeepDyve free for 14 days.
Joseph Redmon, Ali Farhadi (2018)
YOLOv3: An Incremental ImprovementArXiv, abs/1804.02767
E. Barmpounakis, E. Vlahogianni, J. Golias (2016)
Unmanned Aerial Aircraft Systems for Transportation Engineering: Current Practice and Future ChallengesInternational journal of transportation science and technology, 5
N. Lerner, T. Neuman, K. Slack, Kelly Hardy, Jamie Sohn, A. Goodwin, R. Foss, I. Potts, D. Harwood, C. Raborn, R. Pfefer, D. Torbic, V. Bond (2009)
A Guide for Reducing Speeding-Related Crashes
R. Warren (1976)
The perception of egomotion.Journal of experimental psychology. Human perception and performance, 2 3
Li Liu, Wanli Ouyang, Xiaogang Wang, P. Fieguth, Jie Chen, Xinwang Liu, M. Pietikäinen (2018)
Deep Learning for Generic Object Detection: A SurveyInternational Journal of Computer Vision, 128
(2016)
Survey finds a growing number of state DOTS are using drones to improve safety and collect data faster and better-Saving time and money AASHTO
A. Yilmaz, O. Javed, M. Shah (2006)
Object tracking: A surveyACM Comput. Surv., 38
Saidasul Usmankhujaev, Shokhrukh Baydadaev, Kwon Woo (2020)
Real-Time, Deep Learning Based Wrong Direction DetectionApplied Sciences, 10
G. Forbes (2012)
Methods and Practices for Setting Speed Limits: An Informational Report
(2017)
Reducing speeding-related crashes involving passenger vehicles
Michael Marti, R. Kuehl, S. Petersen (2014)
Traffic Data Collection Improvements
H. Lee, SungHwan Jeong, Joonwhoan Lee (2013)
Robust detection system of illegal lane changes based on tracking of feature pointsIet Intelligent Transport Systems, 7
Cole Fitzpatrick, I. McKinnon, Francis Tainter, M. Knodler (2016)
The application of continuous speed data for setting rational speed limits and improving roadway safetySafety Science, 85
(2016)
You only look once: Unified
(2013)
National Highway Traffic Safety Administration: LIDAR speed-measuring device performance specifications
L. Boodlal, Eric Donnell, R. Porter, Dileep Garimella, Thanh Le, K. Croshaw, S. Himes, P. Kulis, J. Wood (2015)
Factors Influencing Operating Speeds and Safety on Rural and Suburban Roads
Dot Hs (2007)
Speed-Measuring Device Performance Specifications: Across-the-Road Module
D. Johansen (2006)
Video Stabilization and Target Localization Using Feature Tracking with Video from Small UAVs
Tamal Datta, S. Mishra, S. Swain, A. Gupta (2019)
Real Time Detection and Tracking of a Model Car using Kalman Filter2019 2nd International Conference on Innovations in Electronics, Signal Processing and Communication (IESC)
M. Everingham, S. Eslami, L. Gool, Christopher Williams, J. Winn, Andrew Zisserman (2014)
The Pascal Visual Object Classes Challenge: A RetrospectiveInternational Journal of Computer Vision, 111
(2021)
Evaluation of small unmanned aerial system highway volume and speed-sensing applications
Q. Luong, O. Faugeras (2004)
The fundamental matrix: Theory, algorithms, and stability analysisInternational Journal of Computer Vision, 17
Olov Samuelsson (2012)
Video Tracking Algorithm for UnmannedAerial Vehicle Surveillance
E. Barmpounakis, E. Vlahogianni, J. Golias (2016)
Extracting Kinematic Characteristics from Unmanned Aerial Vehicles
(2018)
Effective Use of Geospatial Tools in Highway Construction
Young-Kee Jung, Yo-Sung Ho (1999)
Traffic parameter extraction using video-based vehicle trackingProceedings 199 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems (Cat. No.99TH8383)
(2017)
Massachusetts Department of Transportation: Procedures for Speed Zoning on State and Municipal Roadways
Tin Nguyen, P. Krishnakumari, S. Calvert, H. Vu, H. Lint (2019)
Feature extraction and clustering analysis of highway congestionTransportation Research Part C: Emerging Technologies
A. Laureshyn, H. Ardö, Å. Svensson, T. Jønsson (2009)
Application of automated video analysis for behavioural studies: concept and experienceIet Intelligent Transport Systems, 3
Liang Wang, Fangliang Chen, H. Yin (2016)
Detecting and tracking vehicles in traffic by unmanned aerial vehiclesAutomation in Construction, 72
Jun Wang, K. Dixon, Hainan Li, M. Hunter (2006)
Operating-Speed Model for Low-Speed Urban Tangent Streets Based on In-Vehicle Global Positioning System DataTransportation Research Record, 1961
Boris Galkin, L. Dasilva (2018)
UAVs as Mobile Infrastructure: Addressing Battery LifetimeIEEE Communications Magazine, 57
D. Sudha, Priyadarshini Jayaraju (2020)
An intelligent multiple vehicle detection and tracking using modified vibe algorithm and deep learning algorithmSoft Computing, 24
E. Bas, M. Tekalp, F. Salman (2007)
Automatic Vehicle Counting from Video for Traffic Flow Analysis2007 IEEE Intelligent Vehicles Symposium
Joyoung Lee, Zijia Zhong, Kitae Kim, B. Dimitrijevic, Bo Du, Slobodan Gutesa (2015)
Examining the Applicability of Small Quadcopter Drone for Traffic Surveillance and Roadway Incident Monitoring
(2017)
National Transportation Safety Board: Reducing speeding-related crashes involving passenger vehicles. NTSB speeding safety study. NTSB, Washington
L. Mimbela, L. Klein (2000)
SUMMARY OF VEHICLE DETECTION AND SURVEILLANCE TECHNOLOGIES USED IN INTELLIGENT TRANSPORTATION SYSTEMS
(2017)
Exploring applications for unmanned aerial systems and unmanned ground systems in enhanced incident management, bridge inspection, and other transportation-related operations
T. Rakha, A. Gorodetsky (2018)
Review of Unmanned Aerial System (UAS) applications in the built environment: Towards automated building inspection procedures using dronesAutomation in Construction
P. Hurney, Peter Waldron, F. Morgan, E. Jones, M. Glavin (2015)
Review of pedestrian detection techniques in automotive far-infrared videoIet Intelligent Transport Systems, 9
Junxuan Zhao, Hao Xu, Hongchao Liu, Jianqing Wu, Yichen Zheng, Dayong Wu (2019)
Detection and tracking of pedestrians and vehicles using roadside LiDAR sensorsTransportation Research Part C: Emerging Technologies
(2002)
A New Approach to Linear Filtering and Prediction Problems
Tao Zhao, R. Nevatia (2001)
Car detection in low resolution aerial imageProceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 1
Fei Yin, D. Makris, S. Velastín (2007)
Performance evaluation of object tracking algorithms
(2018)
Dataset for training of YOLO with aerial photo car detection GitHub Data Repository, URL: https://github.com/jekhor/aerialcars-dataset
IET Intelligent Transport Systems – Wiley
Published: Jan 1, 2021
You can share this free article with as many people as you like with the url below! We hope you enjoy this feature!
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.