Jeremy – also tell us, ball park, what you want to do.
We might be able to give you one of our models, with sensors and everything, for you to get going fast, rather than struggling to put things together…
Are you into small AVs and such? I think we have one such model all set up, ready to go.
Dan
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Bernard A. and Frances M. Weideman Professor
NVIDIA CUDA Fellow
Director, Wisconsin Applied Computing Center
Department of Mechanical Engineering
Department of Computer Science
University of Wisconsin - Madison
4150ME, 1513 University Avenue
Madison, WI 53706-1572
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Hey Jeremy - This is an interesting project.
The pieces are there I think. Probably start with a demo of the HMMWV and use rigid terrain. You can add sensors to the HMMWV model. In the past, we also did something like this with SCM deformable terrain. For instance, see here:
“Enabling Artificial Intelligence Studies in Off-Road Mobility Through Physics-Based Simulation of Multi-Agent Scenarios,” A. Young, J. Taves, A. Elmquist, S. Benatti, A. Tasora, R. Serban, D. Negrut, ASME Journal on Computational and Nonlinear Dynamics, 17(5): 051001, 2022
“End-to-end learning for off-road terrain navigation using the Chrono open-source simulation platform,” S. Benatti, A. Young, A. Elmquist, J. Taves, A. Tasora, R. Serban, D. Negrut, Multibody System Dynamics, vol. 54, 399–414, 2022
Beyond looking at the examples provided in demos, another place where you can look for tidbits is here: https://github.com/uwsbel/public-metadata .
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Jeremy,
I am confused. Installing the cuda-toolkit package is clearly listed as a requirement for getting Chrono::Sensor support in PyChrono:
conda install -c nvidia/label/cuda-11.7.0 cuda-toolkit
conda install -c conda-forge glfw
What am I missing?
--Radu
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