A comparison of gradient versus color and texture analysis for lane detection and tracking

Simple item page
dc.contributor.authorTapia Espinoza, Rodolfo Antonio
dc.contributor.authorTorres Torriti, Miguel Attilio
dc.date.accessioned2022-05-16T13:00:25Z
dc.date.available2022-05-16T13:00:25Z
dc.date.issued2009
dc.description.abstractAccurate lane detection in real-time is a critical task in autonomous vehicle guidance and lane departure warning for driver assistance. Existing vision-based approaches rely mostly on some analysis of the spatial gradient of the image. However, if the road structure is not regular and well delimited, edges may not be easy to extract and other features must be employed. This paper evaluates the use of color and textural features as a way to improve the standard gradient-based lane detection. Textural features are generated using a bank of Gabor filters. A benefit of using color and texture is that the sky regions of the image, as well as side elements, can be detected. The results obtained from testing the approaches on city roads show that color and texture analysis yields a more accurate road segmentation.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/LARS.2009.5418326
dc.identifier.isbn9781424462568
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5418326
dc.identifier.urihttps://doi.org/10.1109/LARS.2009.5418326
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/63911
dc.information.autorucEscuela de ingeniería ; Tapia Espinoza, Rodolfo Antonio ; S/I ; 141034
dc.information.autorucEscuela de ingeniaería ; Torres Torriti, Miguel Attilio ; S/I ; 96590
dc.language.isoen
dc.nota.accesoContenido parcial
dc.publisherIEEE
dc.relation.ispartofLatin American Robotics Symposium (LARS 2009) (6° : 2009 : Valparaíso, Chile)
dc.rightsacceso restringido
dc.subjectRoads
dc.subjectImage color analysis
dc.subjectImage texture analysis
dc.subjectVehicle detection
dc.subjectRemotely operated vehicles
dc.subjectVehicle driving
dc.subjectMobile robots
dc.subjectNavigation
dc.subjectImage analysis
dc.subjectImage edge detection
dc.titleA comparison of gradient versus color and texture analysis for lane detection and trackinges_ES
dc.typecomunicación de congreso
sipa.codpersvinculados141034
sipa.codpersvinculados96590
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
A comparison of gradient versus color and texture analysis for lane detection and tracking.pdf
Size:
2.65 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Artículos de conferencia