We all know that world of automated systems are going to rule this world in coming times. So, here is our project on autonomous driving using Carla.
We used the method of Imitation learning to make the car an automated system in the given scenarios.
| Scene | Sample Image |
| Cruise Control |  |
| Road Disturbance |  |
| Dual Disturbance |  |
| Multiple Disturbance |  |
To run the code, bash this command on the terminal. You can change scenario as per your requirement.
$ python main.py
--batch-size 1000
--scenario cruise_control
--workers 24
--speed-weight 1
--learning-rate 0.0001
--lr-gamma 0.5
--lr-step 10
--train-dir "/path/to/the/training_data"
--eval-dir "/path/to/the/eval_data"
--gpu 0
--id name_of_policy
Check the training log through tensorboard.
$ tensorboard --logdir runs
Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective