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Lidar Data Generation Issue in Adverse Weather Conditions #84
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@ptiwari0664
In the Ray Cast method, only objects with a collider set can be detected. Therefore, it is almost impossible to implement objects such as fog, rain, dust, etc. that do not have a collision model. The team currently developing the functionality for this repository is in the process of revising the existing design. Therefore, we are not able to respond immediately, but we may be able to start implementing this feature in the near future. |
After checking, I found that the default particle shader does not set DepthBuffer. https://github.com/PavelTorgashov/Unity-Particles-with-Depth-Buffer |
@Autumn60 @ptiwari0664 Thank you both ! |
Description:
The Lidar sensor simulation currently faces challenges in generating realistic data under adverse weather conditions, such as fog and rain. The current sensor modelling does not adequately replicate the impact of these weather conditions on Lidar data, leading to a discrepancy between simulated and real sensor data.
Expected Behavior:
The Lidar simulation should accurately reproduce the effects of adverse weather conditions on data generation, including reduced visibility, distortion, and noise in the point cloud. This is crucial for ensuring that the simulations closely mirror real-world scenarios, providing a more comprehensive and accurate testing environment.
Steps to Reproduce:
Can someone please help to guide, how can we achieve this ?
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