This textbook on Photogrammetric Computer Vision–Statistics, Geometry, Orientation and
Reconstruction provides a statistical treatment of the geometry of multiple view analysis …

The aim of this article is focused on the design of an obstacle detection system for assisting
visually impaired people. A dense disparity map is computed from the images of a stereo …

This study presents a robust method for ground plane detection in vision-based systems with
a non-stationary camera. The proposed method is based on the reliable estimation of the …

In this paper, we introduce a novel approach for ground plane normal estimation of wheeled
vehicles. In practice, the ground plane is dynamically changed due to braking and unstable …

Understanding ego-motion and surrounding vehicle state is essential to enable automated
driving and advanced driving assistance technologies. Typical approaches to solve this …

This paper proposes a hybridization of two well‐known stereo‐based obstacle detection
techniques for all‐terrain environments. While one of the techniques is employed for the …

The project presents robust vision-based navigation through doorways and hallways where
static objects are present. A method is proposed using the fusion of colour features, edge …

Computing disparity images for stereo pairs of low texture images is a challenging task
because matching costs inside low texture areas of the stereo pairs are almost similar. This …

The estimation of road profiles from low texture stereo images is a problematic task because
the disparity images computed from such class of images have a large number of noisy …

Egomotion estimation is a fundamental building block for self-localisation and SLAM,
especially when an accurate map is not available to the robot. This paper presents a real …