Skip to main content

NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.

Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.

U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

New Visual Invariants for Terrain Navigation Without 3-D Reconstruction

Published

Author(s)

Gin-Shu Young, Martin Herman, Tsai H. Hong, D Jiang, J Yang

Abstract

Vision, Mobility, Unmanned Systems
Citation
To appear in International Journal of Computer Vision

Keywords

autonomous vehicles, computer vision, mobile robots, navigation, obstacle avoidance

Citation

Young, G. , Herman, M. , Hong, T. , Jiang, D. and Yang, J. (1998), New Visual Invariants for Terrain Navigation Without 3-D Reconstruction, To appear in International Journal of Computer Vision, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=820589 (Accessed October 8, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact [email protected].

Created December 30, 1998, Updated October 12, 2021
Was this page helpful?