Automatic road environment classification
| dc.contributor.author | Tang, Isabelle | - |
| dc.contributor.author | Breckon, Toby P. | - |
| dc.date.accessioned | 2012-09-24T23:01:44Z | |
| dc.date.available | 2012-09-24T23:01:44Z | |
| dc.date.issued | 2011-06-30T00:00:00Z | - |
| dc.description.abstract | The ongoing development autonomous vehicles and adaptive vehicle dynamics present in many modern vehicles has generated a need for road environment classification - i.e., the ability to determine the nature of the current road or terrain environment from an onboard vehicle sensor. In this paper, we investigate the use of a low-cost camera vision solution capable of urban, rural, or off-road classification based on the analysis of color and texture features extracted from a driver's perspective camera view. A feature set based on color and texture distributions is extracted from multiple regions of interest in this forward-facing camera view and combined with a trained classifier approach to resolve two road-type classification problems of varying difficulty - {off-road, on-road} environment determination and the additional multiclass road environment problem of {off-road, urban, major/trunk road and multilane motorway/carriageway}. Two illustrative classification approaches are investigated, and the results are reported over a series of real environment data. An optimal performance of ~90% correct classification is achieved for the {off-road, on-road} problem at a near real-time classification rate of 1 Hz. | en_UK |
| dc.identifier.citation | Isabelle Tang and Toby P. Breckon. Automatic road environment classification. IEEE Transactions on Intelligent Transportation Systems. June 2011, Volume 12, Issue 2, Pages 476-484 | |
| dc.identifier.issn | 1524-9050 | - |
| dc.identifier.uri | http://dx.doi.org/10.1109/TITS.2010.2095499 | - |
| dc.identifier.uri | http://dspace.lib.cranfield.ac.uk/handle/1826/7587 | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc | en_UK |
| dc.subject | Color classification | en_UK |
| dc.subject | machine learning classifier | en_UK |
| dc.subject | road-type classification | en_UK |
| dc.subject | texture classification | en_UK |
| dc.title | Automatic road environment classification | en_UK |
| dc.type | Article | - |