Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks? conducted at UM & Ford Center for Autonomous Vehicles (FCAV).
Specifically, we will train MXNet RCNN on our 10k dataset and evaluate on KITTI.
Coming soon!
If you find this useful in your research please cite:
M. Johnson-Roberson, C. Barto, R. Mehta, S. N. Sridhar, and R. Vasudevan, “Driving in the matrix: Can virtual worlds replace human-generated annotations for real world tasks?,” in IEEE International Conference on Robotics and Automation, pp. 1–8, 2017.
@inproceedings{Johnson-Roberson:2017aa,
Author = {M. Johnson-Roberson and Charles Barto and Rounak Mehta and Sharath Nittur Sridhar and Karl Rosaen and Ram Vasudevan},
Booktitle = {{IEEE} International Conference on Robotics and Automation},
Date-Added = {2017-01-17 14:22:19 +0000},
Date-Modified = {2017-01-17 14:23:03 +0000},
Keywords = {conf},
Note = {accepted},
Title = {Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?},
Year = {2017}}