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Authors: Anas Alhashimi ; Damiano Varagnolo and Thomas Gustafsson

Affiliation: Luleå University of Technology, Sweden

ISBN: 978-989-758-198-4

Keyword(s): Maximum Likelihood, Least Squares, Statistical Inference, Distance Mapping Sensors, Lidar, Nonlinear System, AIC.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Nonlinear Signals and Systems ; Sensors Fusion ; Signal Processing, Sensors, Systems Modeling and Control ; System Identification ; System Modeling

Abstract: We aim at developing statistical tools that improve the accuracy and precision of the measurements returned by triangulation Light Detection and Rangings (Lidars). To this aim we: i) propose and validate a novel model that describes the statistics of the measurements of these Lidars, and that is built starting from mechanical considerations on the geometry and properties of their pinhole lens - CCD camera systems; ii) build, starting from this novel statistical model, a Maximum Likelihood (ML) / Akaike Information Criterion (AIC) - based sensor calibration algorithm that exploits training information collected in a controlled environment; iii) develop ML and Least Squares (LS) strategies that use the calibration results to statistically process the raw sensor measurements in non controlled environments. The overall technique allowed us to obtain empirical improvements of the normalized Mean Squared Error (MSE) from 0.0789 to 0.0046.

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Paper citation in several formats:
Alhashimi, A.; Varagnolo, D. and Gustafsson, T. (2016). Statistical Modeling and Calibration of Triangulation Lidars.In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-198-4, pages 308-317. DOI: 10.5220/0005965803080317

@conference{icinco16,
author={Anas Alhashimi. and Damiano Varagnolo. and Thomas Gustafsson.},
title={Statistical Modeling and Calibration of Triangulation Lidars},
booktitle={Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2016},
pages={308-317},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005965803080317},
isbn={978-989-758-198-4},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Statistical Modeling and Calibration of Triangulation Lidars
SN - 978-989-758-198-4
AU - Alhashimi, A.
AU - Varagnolo, D.
AU - Gustafsson, T.
PY - 2016
SP - 308
EP - 317
DO - 10.5220/0005965803080317

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