@InProceedings{BerrielAguiSouzOliv:2015:PaFiLa,
author = "Berriel, Rodrigo Ferreira and de Aguiar, Edilson and Souza Filho,
Vanderlei Vieira de and Oliveira-Santos, Thiago",
affiliation = "UFES and UFES and UFES and UFES",
title = "A Particle Filter-based Lane Marker Tracking Approach using a
Cubic Spline Model",
booktitle = "Proceedings...",
year = "2015",
editor = "Papa, Jo{\~a}o Paulo and Sander, Pedro Vieira and Marroquim,
Ricardo Guerra and Farrell, Ryan",
organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "lane marker tracking, particle filter, cubic splines.",
abstract = "In 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).",
conference-location = "Salvador, BA, Brazil",
conference-year = "26-29 Aug. 2015",
doi = "10.1109/SIBGRAPI.2015.15",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2015.15",
language = "en",
ibi = "8JMKD3MGPBW34M/3JL94PH",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JL94PH",
targetfile = "PID3755287.pdf",
urlaccessdate = "2024, May 01"
}