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 language | English |
|---|---|
| Article number | 116 |
| Journal | IS and T International Symposium on Electronic Imaging Science and Technology |
| Volume | 35 |
| Issue number | 16 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | IS and T International Symposium on Electronic Imaging: Autonomous Vehicles and Machines, AVM 2023 - San Francisco, United States Duration: 15 Jan 2023 → 19 Jan 2023 |
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