Experience of the ARGO autonomous vehicle

Massimo Bertozzi; Alberto Broggi; Gianni Conte; Alessandra Fascioli

doi:10.1117/12.317473

30 July 1998 Experience of the ARGO autonomous vehicle

Massimo Bertozzi, Alberto Broggi, Gianni Conte, Alessandra Fascioli

Proceedings Volume 3364, Enhanced and Synthetic Vision 1998; (1998) https://doi.org/10.1117/12.317473
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

This paper presents and discusses the first results obtained by the GOLD (Generic Obstacle and Lane Detection) system as an automatic driver of ARGO. ARGO is a Lancia Thema passenger car equipped with a vision-based system that allows to extract road and environmental information from the acquired scene. By means of stereo vision, obstacles on the road are detected and localized, while the processing of a single monocular image allows to extract the road geometry in front of the vehicle. The generality of the underlying approach allows to detect generic obstacles (without constraints on shape, color, or symmetry) and to detect lane markings even in dark and in strong shadow conditions. The hardware system consists of a PC Pentium 200 Mhz with MMX technology and a frame-grabber board able to acquire 3 b/w images simultaneously; the result of the processing (position of obstacles and geometry of the road) is used to drive an actuator on the steering wheel, while debug information are presented to the user on an on-board monitor and a led-based control panel.

Citation Download Citation

Massimo Bertozzi, Alberto Broggi, Gianni Conte, and Alessandra Fascioli "Experience of the ARGO autonomous vehicle", Proc. SPIE 3364, Enhanced and Synthetic Vision 1998, (30 July 1998); https://doi.org/10.1117/12.317473

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available