DocumentCode :
571642
Title :
Comparison of SMS Calculation Methods Based on NGSIM Data for UAV Detection
Author :
Du, Rongyi ; Peng, Zhongren ; Lu, Qingchang
Author_Institution :
Sch. of Transp. Eng., TongJi Univ., Shanghai, China
Volume :
2
fYear :
2012
fDate :
26-27 Aug. 2012
Firstpage :
112
Lastpage :
115
Abstract :
The introduction of UAV into transportation offers a great number of challenges such as how to utilize the collected vehicle data of different levels to obtain traffic variables. Meanwhile, different detection approaches may acquire different types and precisions of vehicle data, and the methods that will be chosen for each detection approach also may vary. The main objective of this paper is to compare the difference of several methods of calculating space mean speed (SMS), so as to provide guidance for SMS calculation and application based on various detection data of UAV. Two basic methods and three expanded methods that are possible to be used for UAV detection to calculate SMS of a road are discussed based on a dataset from NGSIM. Without considering the errors that may be caused by instability of UAV flight and video processing, differences among the methods are analyzed in the MatLAB software. The results of the two basic methods are of large difference, and the expanded methods used to estimate the SMS in various time periods will also generate different results. So when the results obtained by these methods are used for data fusion and other transportation applications, they should be assigned different weights. Some other results are obtained too, which may provide references for the traffic parameter extraction based on UAV detection, and the data fusion between the space mean speed from UAV detection and that from other traffic detection methods.
Keywords :
autonomous aerial vehicles; image fusion; road traffic; robot vision; traffic engineering computing; video signal processing; Matlab software; UAV detection; data fusion; next generation simulation; space mean speed calculation method; traffic detection method; traffic parameter extraction; traffic variable; transportation application; unmanned aerial vehicle; video processing; Cameras; Data mining; Detectors; Roads; Trajectory; Vehicles; NGSIM; Space Mean Speed; Traffic Detection; Unmanned Aerial Vehicle (UAV); Video Processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
Conference_Location :
Nanchang, Jiangxi
Print_ISBN :
978-1-4673-1902-7
Type :
conf
DOI :
10.1109/IHMSC.2012.123
Filename :
6305737
Link To Document :
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