Real-Time Obstacle Detection Approach using Stereoscopic Images

Real-Time Obstacle Detection Approach using Stereoscopic Images

In this paper, we propose a new and simple approach to obstacle and free space detection in an indoor and outdoor environment in real-time using stereo vision as sensor. The real-time obstacle detection algorithm uses two dimensional disparity map to detect obstacles in the scene without constructing the ground plane. The proposed approach combines an accumulating and thresholding techniques to...

Detection of Congenital Mullerian Anomalies Using Real-Time 3D Sonography

Robust Real-Time Stereoscopic Alignment

This paper presents a method for non-computationally expensive automatic alignment of cameras that utilises stereoscopic imagery separated at varying distances just below that of the intraocular distance. Here, automatic stereoscopic alignment in real-time is a non-trivial process that relies on calculating the best virtual alignment of camera lenses through image overlaying. This is important ...

A stereo vision system for real-time automotive obstacle detection

This work presents a system for obstacle detection in pair of images acquired by a stereo vision device installed on a moving vehicle. The whole system is structured in a pipeline of two diierent computational engines: a massively parallel architecture, PAPRICA, devoted to low-level image processing and a traditional serial architecture running medium-level tasks. A geometrical transformation, ...

Real-time Obstacle Detection on a Massively Parallel Linear Architecture

This paper presents a real-time solution to the problem of obstacle detection in automotive applications using image processing techniques. To speed-up the processing a massively parallel engine has been used and the algorithms tuned to match the speciic features of the computing architecture. The system acquires pairs of stereo images, checks for correspondences, and remaps the resulting image...