Back to articles
Article
Volume: 35 | Article ID: AVM-116
Image
The design and validation of a rain model for a simulated automotive environment
  DOI :  10.2352/EI.2023.35.16.AVM-116  Published OnlineJanuary 2023
Abstract
Abstract

This paper presents the design of an accurate rain model for the commercially-available Anyverse automotive simulation environment. The model incorporates the physical properties of rain and a process to validate the model against real rain is proposed. Due to the high computational complexity of path tracing through a particle-based model, a second more computationally efficient model is also proposed. For the second model, the rain is modeled using a combination of a particle-based model and an attenuation field. The attenuation field is fine-tuned against the particle-only model to minimize the difference between the models.

Subject Areas :
Views 187
Downloads 61
 articleview.views 187
 articleview.downloads 61
  Cite this article 

Tim Brophy, Brian Deegan, Javier Salado, Ángel Tena, Patrick Denny, Martin Glavin, Enda Ward, Jonathan Horgan, Edward Jones, "The design and validation of a rain model for a simulated automotive environmentin Electronic Imaging,  2023,  pp 116-1 - 116-6,  https://doi.org/10.2352/EI.2023.35.16.AVM-116

 Copy citation
  Copyright statement 
Copyright © 2023, Society for Imaging Science and Technology 2023
ei
Electronic Imaging
2470-1173
2470-1173
Society for Imaging Science and Technology
IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA