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Letter

Performance Characterization of the Smartphone Video Guidance Sensor as Vision-Based Positioning System

1
Department of Mechanical and Energy Engineering, College of Engineering, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia
2
Mechanical and Aerospace Engineering, Florida Institute of Technology, Melbourne, FL 32901, USA
3
Control Systems Design and Analysis Branch, NASA Marshall Space Flight Center, Huntsville, AL 35812, USA
4
Avionics Subsystems Branch, NASA Marshall Space Flight Center, Huntsville, AL 35812, USA
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(18), 5299; https://doi.org/10.3390/s20185299
Received: 22 July 2020 / Revised: 7 August 2020 / Accepted: 2 September 2020 / Published: 16 September 2020
(This article belongs to the Special Issue Sensing, Perception, and Navigation in Space Robotics)
The Smartphone Video Guidance Sensor (SVGS) is a vision-based sensor that computes the six-state position and orientation vector of a target relative to a coordinate system attached to a smartphone. This paper presents accuracy-characterization measurements of the Smartphone Video Guidance Sensor (SVGS) to assess its performance as a position and attitude estimator, evaluating its accuracy in linear and angular motion for different velocities and various types of targets based on the mean and standard deviation errors between SVGS estimates and known motion profiles, in both linear and angular motions. The study also examines the effects of target velocity and sampling rate on the overall performance of SVGS and provides an overall assessment of SVGS’ performance as a position/attitude estimator. While the error metrics are dependent on range and camera resolution, the results of this paper can be scaled to other operational conditions by scaling the blob size in pixels (the light markers identified in the images) relative to the total resolution (number of pixels) of the image. The error statistics of SVGS enable its incorporation (by synthesis of a Kalman estimator) in advanced motion-control systems for navigation and guidance. View Full-Text
Keywords: video sensor; guidance; navigation; motion control; photogrammetry; attitude; spacecraft proximity maneuvers; rendezvous; docking video sensor; guidance; navigation; motion control; photogrammetry; attitude; spacecraft proximity maneuvers; rendezvous; docking
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MDPI and ACS Style

Hariri, N.; Gutierrez, H.; Rakoczy, J.; Howard, R.; Bertaska, I. Performance Characterization of the Smartphone Video Guidance Sensor as Vision-Based Positioning System. Sensors 2020, 20, 5299. https://doi.org/10.3390/s20185299

AMA Style

Hariri N, Gutierrez H, Rakoczy J, Howard R, Bertaska I. Performance Characterization of the Smartphone Video Guidance Sensor as Vision-Based Positioning System. Sensors. 2020; 20(18):5299. https://doi.org/10.3390/s20185299

Chicago/Turabian Style

Hariri, Nasir, Hector Gutierrez, John Rakoczy, Richard Howard, and Ivan Bertaska. 2020. "Performance Characterization of the Smartphone Video Guidance Sensor as Vision-Based Positioning System" Sensors 20, no. 18: 5299. https://doi.org/10.3390/s20185299

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