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.
An official website of the United States government
Here’s how you know
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.
An Overview of Robot-Sensor Calibration Methods for Evaluation of Perception Systems
Published
Author(s)
Mili Shah, Roger D. Eastman, Tsai H. Hong
Abstract
In this paper, an overview of methods that solve the robot-sensor calibration problem of the forms AX = XB and AX = YB is given. Each form will be split into three solutions: separable closed-form solutions, simultaneous closed- form solutions, and iterative solutions. The advantages and disadvantages of each of the solutions in the case of evaluation of perception systems will also be discussed.
Proceedings Title
2012 Performance Metrics for Intelligent Systems Workshop
Shah, M.
, Eastman, R.
and Hong, T.
(2012),
An Overview of Robot-Sensor Calibration Methods for Evaluation of Perception Systems, 2012 Performance Metrics for Intelligent Systems Workshop, College Park, MD, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=910651
(Accessed October 11, 2025)