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.

Search Publications by: Martin Herman (Assoc)

Search Title, Abstract, Conference, Citation, Keyword or Author
Displaying 26 - 50 of 163

NGIS SIM Specification

January 1, 1998
Author(s)
William G. Rippey, John L. Michaloski, Martin Herman, Sandor S. Szabo, W Dewys, N Frampton

A Unique Sensor Fusion System for Coordinate Measuring Machine Tasks

October 1, 1997
Author(s)
M Nashman, Billibon H. Yoshimi, Tsai H. Hong, William G. Rippey, Martin Herman
This paper describes a real-time hierarchical system that combines (fuses) data from vision and touch sensors to simplify and improve the operation of a coordinate measuring machine (CMM) used for dimensional inspection tasks. Our emphasis is on sensory

Integrated Vision and Touch Sensing for CMMs

October 1, 1997
Author(s)
Billibon H. Yoshimi, Tsai Hong Hong, Martin Herman, M Nashman, William G. Rippey
This paper describes a calibrated and an uncalibrated method for integrating a vision system with touch sensors and a Coordinate Measuring Machine (CMM). Traditionally, vision systems are used to measure machined parts and to localize manufacturing defects

Real-Time Single-workstation Obstacle Avoidance Using Only Wide-Field Flow Divergence

August 1, 1996
Author(s)
Theodore(Ted) Camus, David Coombs, Martin Herman, Tsai Hong Hong
A real-time robot vision system is described which uses only the divergence of the optical flow field for both steering control and collision detection. The robot has wandered about the lab at 20 cm/s for as long as 26 minutes without collision. The entire

Motion-Model-Based Boundary Extraction

November 1, 1995
Author(s)
H Liu, Tsai H. Hong, Martin Herman, Rama Chellappa
Motion boundary extraction and optical flow computation are two subproblems of the motion recovery problem that cannot be solved independently of each other. They represent the most common dilemma in motion research. A popular approach uses an iterative