Abstract

The detection of road lane markings has many practical applications, such as advanced driver assistance systems and road maintenance. In this paper we propose an algorithm to detect and recognize road lane markings from panoramic images. Our algorithm consists of four steps. First, an inverse perspective mapping is applied to the image, and the potential road markings are segmented based on their intensity difference compared to the surrounding pixels. Second, we extract the distance between the center and the boundary at regular angular steps of each considered potential road marking segment into a feature vector. Third, each segment is classified using a Support Vector Machine (SVM). Finally, by modeling the lane markings, previous false positive detected segments can be rejected based on their orientation and position relative to the lane markings. Our experiments show that the system is capable of recognizing \(93\,\%\), \(95\,\%\) and \(91\,\%\) of striped line segments, blocks and arrows respectively, as well as \(94\,\%\) of the lane markings.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1007/978-3-319-16631-5_33
https://link.springer.com/chapter/10.1007%2F978-3-319-16631-5_33,
https://ui.adsabs.harvard.edu/abs/2015SPIE.9407E..08L/abstract,
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/9407/1/Detection-and-recognition-of-road-markings-in-panoramic-images/10.1117/12.2081395.full,
https://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=2195300,
https://www.narcis.nl/publication/RecordID/oai%3Apure.tue.nl%3Apublications%2F135a2021-bfca-4580-9f10-29d37a61b09a,
http://dx.doi.org/10.1007/978-3-319-16631-5_33,
https://dblp.uni-trier.de/db/conf/accv/accv2014-w2.html#LiCHW14,
https://research.tue.nl/en/publications/detection-and-recognition-of-road-markings-in-panoramic-images,
https://rd.springer.com/chapter/10.1007/978-3-319-16631-5_33,
https://tue-staging.elsevierpure.com/en/publications/detection-and-recognition-of-road-markings-in-panoramic-images-2,
https://core.ac.uk/display/158724464,
https://academic.microsoft.com/#/detail/1131264965


DOIS: 10.1007/978-3-319-16631-5_33 10.1117/12.2081395

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Published on 01/01/2015

Volume 2015, 2015
DOI: 10.1007/978-3-319-16631-5_33
Licence: CC BY-NC-SA license

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