Publication
Road scene segmentation is important in computer vision for different applications such as autonomous driving and pedestrian detection. Recovering the 3D structure of road scenes ...
TITS
2011
12 years 11 months ago
2011
—By using an onboard camera, it is possible to detect the free road surface ahead of the ego-vehicle. Road detection is of high relevance for autonomous driving, road departure w...
AIPR
2004
IEEE
13 years 8 months ago
2004
IEEE
The Intelligent Systems Division of the National Institute of Standards and Technology has been engaged for several years in developing real-time systems for autonomous driving. A...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. Reliably extracting information from aerial imagery is a difficult problem with many practical applications. One specific case of this problem is the task of automatica...
CIKM
2005
Springer
13 years 9 months ago
2005
Springer
Our previous work on road detection suggests the usage of prior knowledge in order to improve performance. In this paper we will explain our motivation for a novel approach, defin...
CVPR
2010
IEEE
14 years 17 days ago
2010
IEEE
Vision-based road detection is important in different areas of
computer vision such as autonomous driving, car collision warning
and pedestrian crossing detection. However, curre...
Publication
Given a single image of an arbitrary road, that may not be well-paved, or have clearly delineated edges, or some a priori known color or texture distribution, is it possible for a ...
Dataset
ROMA is a database of numerical images easily usable to evaluate in a systematic way the performance of road markings extraction algorithms. It comprises more than 100 original ima...
ICIP
2000
IEEE
14 years 5 months ago
2000
IEEE
We present an algorithm that extracts the largest shape within a specificclass, starting from a set of image edgels. The algorithm inherits the Best-First Segmentation approach [jp...
CVPR
2009
IEEE
14 years 8 months ago
2009
IEEE
Color is a powerful visual cue for many computer vision
applications such as image segmentation and object recognition.
However, most of the existing color models depend on the i...