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Modeling and Calibrating Triangulation Lidars for Indoor Applications

  • Anas AlhashimiEmail author
  • Giovanni Pierobon
  • Damiano Varagnolo
  • Thomas Gustafsson
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 430)

Abstract

We present an improved statistical model of the measurement process of triangulation Light Detection and Rangings (Lidars) that takes into account bias and variance effects coming from two different sources of uncertainty: \((i) \) mechanical imperfections on the geometry and properties of their pinhole lens - CCD camera systems, and \((ii) \) inaccuracies in the measurement of the angular displacement of the sensor due to non ideal measurements from the internal encoder of the sensor. This model extends thus the one presented in [2] by adding this second source of errors. Besides proposing the statistical model, this chapter considers: \((i) \) specialized and dedicated model calibration algorithms that exploit Maximum Likelihood (ML)/Akaike Information Criterion (AIC) concepts and that use training datasets collected in a controlled setup, and \((ii) \) tailored statistical strategies that use the calibration results to statistically process the raw sensor measurements in non controlled but structured environments where there is a high chance for the sensor to be detecting objects with flat surfaces (e.g., walls). These newly proposed algorithms are thus specially designed and optimized for inferring precisely the angular orientation of the Lidar sensor with respect to the detected object, a feature that is beneficial especially for indoor navigation purposes.

Keywords

Maximum likelihood Least squares Statistical inference Distance mapping sensors Lidar Nonlinear system AIC 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Anas Alhashimi
    • 1
    • 2
    Email author
  • Giovanni Pierobon
    • 3
  • Damiano Varagnolo
    • 1
  • Thomas Gustafsson
    • 1
  1. 1.Control Engineering Group, Department of Computer Science, Electrical and Space EngineeringLuleå University of TechnologyLuleåSweden
  2. 2.Department of Computer EngineeringUniversity of BaghdadBaghdadIraq
  3. 3.Department of Information EngineeringUniversity of PadovaPadovaItaly

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