Predicting the Influence of Rain on LIDAR in ADAS

DOI Web Site 1 Citations
  • Christopher Goodin
    Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS 39762, USA
  • Daniel Carruth
    Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS 39762, USA
  • Matthew Doude
    Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS 39762, USA
  • Christopher Hudson
    Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS 39762, USA

Description

<jats:p>While it is well known that rain may influence the performance of automotive LIDAR sensors commonly used in ADAS applications, there is a lack of quantitative analysis of this effect. In particular, there is very little published work on physically-based simulation of the influence of rain on terrestrial LIDAR performance. Additionally, there have been few quantitative studies on how rain-rate influences ADAS performance. In this work, we develop a mathematical model for the performance degradation of LIDAR as a function of rain-rate and incorporate this model into a simulation of an obstacle-detection system to show how it can be used to quantitatively predict the influence of rain on ADAS that use LIDAR.</jats:p>

Journal

  • Electronics

    Electronics 8 (1), 89-, 2019-01-15

    MDPI AG

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