The Design and Validation of a Rain Model for a Simulated Automotive Environment

Tim Brophy, Brian Deegan, Javier Salado, Ángel Tena, Patrick Denny, Martin Glavin, Enda Ward, Jonathan Horgan, Edward Jones

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish
Article number116
JournalIS and T International Symposium on Electronic Imaging Science and Technology
Volume35
Issue number16
DOIs
Publication statusPublished - 2023
EventIS and T International Symposium on Electronic Imaging: Autonomous Vehicles and Machines, AVM 2023 - San Francisco, United States
Duration: 15 Jan 202319 Jan 2023

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