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.

PUBLICATIONS

Evaluating the depth resolution of 3D sensors for manufacturing automation applications

Published

Author(s)

Prem Rachakonda, Geraldine S. Cheok, Marek Franaszek, Kamel S. Saidi

Abstract

The Intelligent Systems Division (ISD) at the National Institute of Standards and Technology (NIST) is performing research to support the development of documentary standards within ASTM E57.23. This subcommittee is addressing the performance evaluation of 3D imaging systems/sensors that are used for manufacturing automation and vision guided robotics. The applications of these systems extend to other areas such as robotic bin picking, autonomous vehicles, 3D reconstruction and entertainment. This paper discusses the activities of one work item (WK73176) that is addressing the evaluation of the spatial resolution of the 3D imaging system. The key contributions of this paper include the multiple methods to determine resolution of a 3D imaging system.
Citation
Measurement
Pub Type
Journals

Download Paper

https://doi.org/10.1016/j.measurement.2023.113307
Local Download

Keywords

ASTM 57, 3D imaging systems, Documentary standards, Depth Resolution
Sensing and perception and Documentary standards

Citation

Rachakonda, P. , Cheok, G. , Franaszek, M. and Saidi, K. (2023), Evaluating the depth resolution of 3D sensors for manufacturing automation applications, Measurement, [online], https://doi.org/10.1016/j.measurement.2023.113307, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=935408 (Accessed October 20, 2025)

Issues

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

Created July 21, 2023, Updated July 31, 2023
Was this page helpful?