Full Content is available to subscribers

Subscribe/Learn More  >
Proceedings Article

Experience of the ARGO autonomous vehicle

[+] Author Affiliations
Massimo Bertozzi, Alberto Broggi, Gianni Conte, Alessandra Fascioli

Univ. degli Studi di Parma (Italy)

Proc. SPIE 3364, Enhanced and Synthetic Vision 1998, 218 (July 30, 1998); doi:10.1117/12.317473
Text Size: A A A
From Conference Volume 3364

  • Enhanced and Synthetic Vision 1998
  • Jacques G. Verly
  • Orlando, FL | April 13, 1998

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.

© (1998) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Massimo Bertozzi ; Alberto Broggi ; Gianni Conte and Alessandra Fascioli
"Experience of the ARGO autonomous vehicle", Proc. SPIE 3364, Enhanced and Synthetic Vision 1998, 218 (July 30, 1998); doi:10.1117/12.317473; http://dx.doi.org/10.1117/12.317473


Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).

Figures

Tables

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Proceeding
Sign in or Create a personal account to Buy this proceeding ($15 for members, $18 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.