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Search Publications by: Kamel S. Saidi (Fed)

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Displaying 1 - 25 of 133

Gauging error of pose acquired by vision systems in bin picking applications

April 7, 2025
Author(s)
Marek Franaszek, Prem Rachakonda, Kamel Saidi
Picking a part from an unorganized pile of parts requires an accurate vision system integrated with a robotic arm. A proper metric for gauging pose error is therefore indispensable. Pose error is a combination of an error in the position vector and an

Methods to evaluate 3D lidars used for automated driving

January 1, 2025
Author(s)
Prem Rachakonda, Abhilash Mane, Craig I. Schlenoff, Kamel S. Saidi
Evaluating perception sensor systems for on-road autonomous vehicles is still fraught with ambiguity due to the varying and dynamic environmental factors that these vehicles encounter. The critical safety of on-road AV operations is heavily dependent on

InSAR Analysis over the Eastern Coastline of Florida

August 23, 2024
Author(s)
Kamel S. Saidi, TRE Altamira Inc., Exponent Inc.
The National Institute of Standards and Technology (NIST) contracted TRE ALTAMIRA (TREA) for a historical Interferometric Synthetic Aperture Radar (InSAR) analysis to produce surface displacement measurements over a wide Area Of Interest (AOI) of

Towards the development of standards and performance metrics for 3D imaging systems

April 22, 2024
Author(s)
Prem Rachakonda, Kamel S. Saidi, Marek Franaszek, Helen Qiao, John Sweetser, Armin Khatoonabadi, David Dechow, Wesley Rhodes
NIST is leading and supporting multiple efforts to develop standards for 3D imaging systems for manufacturing automation applications. Many manufacturers specify the performance of their sensors in non-standard ways and offer no method to verify those

Merging Outcomes of SAM Applied to RGB and Depth Images in Bin Picking Applications

April 19, 2024
Author(s)
Marek Franaszek, Prem Rachakonda, Pavel Piliptchak, Kamel S. Saidi
Segmenting images containing many objects stacked in unstructured piles is a challenging and vital task in robotic bin picking applications. Objects in such images are congested and occluded but, nevertheless, must be accurately segmented to calculate

Filtering Organized 3D Point Clouds for Bin Picking Applications

January 23, 2024
Author(s)
Marek Franaszek, Prem Rachakonda, Kamel S. Saidi
In many manufacturing applications, autonomous robot action is guided by a perception system integrated with the robot. The quality of the acquired 3D data must be high to ensure smooth and uninterrupted execution of robotic tasks. Unfortunately, many

Improving Fitting CAD to 3D Point Cloud Acquired with Line-of-Sight Sensor

November 7, 2023
Author(s)
Marek Franaszek, Prem Rachakonda, Kamel S. Saidi
Due to self-occlusions in 3D point clouds acquired with line-of-sight sensors, an incomplete representation of an object's surface is used in fitting a CAD (computer-aided design) model to the data. For certain types of object geometry, CAD pose fitted

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

July 21, 2023
Author(s)
Prem Rachakonda, Geraldine S. Cheok, Marek Franaszek, Kamel S. Saidi
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

Technology Readiness Levels for Randomized Bin Picking, Performance Metrics for Intelligent Systems (PerMIS) 2012 Workshop, Special Session

February 8, 2021
Author(s)
Jeremy Marvel, Roger D. Eastman, Geraldine S. Cheok, Kamel S. Saidi, Tsai H. Hong, Elena R. Messina, Bob Bollinger, Paul Evans, Joyce Guthrie, Eric Hershberger, Carlos Martinez, Karen McNamara, James Wells
The special session on Technology Readiness Levels (TRLs) for Randomized Bin Picking was held during the morning session of the 2012 Performance Metrics for Intelligent Systems (PerMIS) workshop, 21 March, 2012. The stated objective of the special session

PSCR 2020_INNOVATING ON DRONE TECHNOLOGY TO SUPPORT FIRST RESPONDER MISSIONS

October 29, 2020
Author(s)
Hien V. Nguyen, Maxwell Maurice, Terese Manley, Kamel Saidi, Philip Hall, Christopher Stockhowe, Michael O'Shea, Raymond Sheh
Imagine the possibilities of using an unmanned aircraft system (UAS) to carry a wireless broadband communications network to support a public safety mission. Learn about PSCRs Deployables research and how UASs are being evaluated as tools to assist first

PSCR 2020_UAS Standard Test Methods

October 29, 2020
Author(s)
Kamel S. Saidi
The session gives a brief recap of the work that NIST has been doing to help first responders use ground, air, and aquatic robots since 2001. This includes a summary of the work that has been accomplished to-date and the standards that have been published

Survey of Drone Usage in Public Safety Agencies

April 30, 2020
Author(s)
Hien V. Nguyen, Terese W. Manley, Kamel S. Saidi
The Public Safety Communications Research (PSCR) Division at the National Institute of Standards and Technology (NIST) conducted a survey to explore ways in which drones, or Unmanned Aircraft Systems (UAS), are currently being used in public safety