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Reference TypeConference Paper (Conference Proceedings)
Last Update2015: (UTC)
Metadata Last Update2020: (UTC) administrator
Citation KeyBerrielAguiSouzOliv:2015:PaFiLa
TitleA Particle Filter-based Lane Marker Tracking Approach using a Cubic Spline Model
Access Date2022, Jan. 21
Number of Files1
Size4631 KiB
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Author1 Berriel, Rodrigo Ferreira
2 de Aguiar, Edilson
3 Souza Filho, Vanderlei Vieira de
4 Oliveira-Santos, Thiago
Affiliation1 UFES
EditorPapa, Joćo Paulo
Sander, Pedro Vieira
Marroquim, Ricardo Guerra
Farrell, Ryan
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador
DateAug. 26-29, 2015
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2015-06-10 13:46:22 :: -> administrator ::
2020-02-19 02:14:02 :: administrator -> :: 2015
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Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
Keywordslane marker tracking
particle filter
cubic splines
AbstractIn this paper we present a particle filter-based lane marker tracking approach using a cubic spline model. The system can detect the two main lane markers (i.e. lane strips) of marked roads from a monocular camera mounted on the top of a vehicle. Traditional lane marker detection and tracking systems have limitations to properly detect curved roads and to use temporal information to better estimate and track lane markers. The proposed system works on a temporal sequence of images. For each image, one at time, it applies a sequence of steps comprising an inverse perspective mapping to correct for perspective distortions, and a particle filter to smoothly track the lane markers along time. The output of the system is a lane marker generated by a cubic spline interpolation scheme to fit a wider range of lanes. Our system can run in real applications and it was validated with various road and traffic conditions. As a result, it achieves a high precision (98.13%) and a small error (0.0143 meters). > SDLA > SIBGRAPI 2015 > A Particle Filter-based...
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