This paper presents a novel and fully automatic technique to estimate depth information from
a single input image. The proposed method is based on a new image classification …

Lane departure warning systems (LDWS) are an important element in improving driving
safety. In this paper, we propose an embedded advanced RISC machines (ARM)-based real …

The automated detection of structural elements (eg, columns and beams) from visual data
can be used to facilitate many construction and maintenance applications. The research in …

The objective of this research is to develop a vision-based driver assistance system to
enhance the driver's safety in the nighttime. The proposed system performs both lane …

This work presents a new unsupervised technique aimed to generate stereoscopic views
estimating depth information from a single input image. Using a single input image …

Automatic road marking recognition is a key problem within the domain of automotive vision
that lends support to both autonomous urban driving and augmented driver assistance such …

Self-driving or autonomous vehicles require an ability to detect road lanes. In order to do so,
a vanishing point should be first detected because the vanishing point exists on the …

This paper presents a robust and reliable block-based method for vanishing line and
vanishing point detection. The proposed method provides assistance in construction of a …

In this paper, we present a robust road detection and tracking method based on a
condensation particle filter for real-time video-based navigation applications. The image is …

Camera calibration is a fundamental task in photogrammetry and computer vision. This
paper presents an approach for the automatic estimation of interior orientation from images …