This paper describes the generic obstacle and lane detection system (GOLD), a stereo
vision-based hardware and software architecture to be used on moving vehicles to …

This paper describes a hierarchical estimation framework for the computation of diverse
representations of motion information. The key features of the resulting framework (or family …

Video sensors become particularly important in traffic applications mainly due to their fast
response, easy installation, operation and maintenance, and their ability to monitor wide …

The application of machine vision to autonomous vehicles is an increasingly important area
of research with exciting applications in industry, defense, and transportation likely in …

This paper describes procedures for obtaining a reliable and dense optical flow from image
sequences taken by a TV camera mounted on a car moving in usual outdoor scenarios. By …

This book defines the emerging field of Active Perception which calls for studying perception
coupled with action. It is devoted to technical problems related to the design and analysis of …

This book surveys the history of automatic vehicle guidance based on the processing of
visual information, starting from the very first projects worldwide up to the latest …

In comparison with single images, image sequences contain information about the dynamic
aspects of the recorded scene. Dynamic aspects play a crucial role in traffic scenarios …

A method for computing the 3D camera motion (the ego-motion) in a static scene is
introduced, which is based on computing the 2D image motion of a single image region …

In order to avoid collision with an object that blocks the course of a vehicle, measuring the
distance to it and detecting positions of its side boundaries, are necessary. In the paper, an …