The design and validation of a rain model for a simulated automotive environment.

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

Autonomous Vehicles and Machines(2023)

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摘要
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.
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rain model
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