A practical system for road marking detection and recognition

We present a system for detecting and recognizing road markings from video input obtained from an in-car camera. Our system learns feature-based templates of road markings from training data and matches these templates to detected features in the test images during runtime. We use MSER features and...

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Bibliographic Details
Published in2012 IEEE Intelligent Vehicles Symposium pp. 25 - 30
Main Authors Wu, Tao, Ranganathan, Ananth
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 01.06.2012
Subjects
Cameras
Feature extraction
Image edge detection
Roads
Shape
Vectors
Vehicles
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ISBN9781467321198
1467321192
ISSN1931-0587
DOI10.1109/IVS.2012.6232144

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Summary:We present a system for detecting and recognizing road markings from video input obtained from an in-car camera. Our system learns feature-based templates of road markings from training data and matches these templates to detected features in the test images during runtime. We use MSER features and perform the template matching in an efficient manner so that our system can detect multiple road markings in a single image. Our system also scales well with the number of categories of road markings to be detected. For evaluating our system, we present an extensive dataset (available from www.ananth.in/RoadMarkingDetection.html) of road markings with ground truth labels, which we hope will be useful as a benchmark dataset for future researchers in this area.
ISBN:9781467321198
1467321192
ISSN:1931-0587
DOI:10.1109/IVS.2012.6232144