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.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.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.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 |
- |