ikostrikov / oatomobile

A research framework for autonomous driving

OATomobile: A research framework for autonomous driving

Overview | Installation | Baselines | Paper

OATomobile is a library for autonomous driving research. OATomobile strives to expose simple, efficient, well-tuned and readable agents, that serve both as reference implementations of popular algorithms and as strong baselines, while still providing enough flexibility to do novel research.

Overview

If you just want to get started using OATomobile quickly, the first thing to know about the framework is that we wrap CARLA towns and scenarios in OpenAI gyms:

import oatomobile

# Initializes a CARLA environment.
environment = oatomobile.envs.CARLAEnv(town="Town01")

# Makes an initial observation.
observation = environment.reset()
done = False

while not done:
  # Selects a random action.
  action = environment.action_space.sample()
  observation, reward, done, info = environment.step(action)

  # Renders interactive display.
  environment.render(mode="human")

# Book-keeping: closes
environment.close()

Baselines can also be used out-of-the-box:

# Rule-based agents.
import oatomobile.baselines.rulebased

agent = oatomobile.baselines.rulebased.AutopilotAgent(environment)
action = agent.act(observation)

# Imitation-learners.
import torch
import oatomobile.baselines.torch

models = [oatomobile.baselines.torch.ImitativeModel() for _ in range(4)]
ckpts = ... # Paths to the model checkpoints.
for model, ckpt in zip(models, ckpts):
  model.load_state_dict(torch.load(ckpt))
agent = oatomobile.baselines.torch.RIPAgent(
  environment=environment,
  models=models,
  algorithm="WCM",
)
action = agent.act(observation)

Installation

echo 'export CARLA_ROOT=$HOME/Carla_Latest/' >>~/.bashrc
source ~/.bashrc

mkdir $CARLA_ROOT
cd $CARLA_ROOT

wget https://carla-releases.s3.eu-west-3.amazonaws.com/Linux/Dev/CARLA_Latest.tar.gz

tar xvf CARLA_Latest.tar.gz
rm CARLA_Latest.tar.gz

# Installs CARLA Python API.
echo 'export PYTHONPATH=$CARLA_ROOT/PythonAPI/carla/dist/carla-0.9.11-py3.7-linux-x86_64.egg:$PYTHONPATH' >>~/.bashrc

source ~/.bashrc

mkdir -p ~/GitHub/
cd ~/GitHub/
git clone [e-mail]:ikostrikov/oatomobile.git
cd oatomobile
pip install -e .

Citing OATomobile

If you use OATomobile in your work, please cite the accompanying technical report:

@inproceedings{filos2020can,
    title={Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?},
    author={Filos, Angelos and
            Tigas, Panagiotis and
            McAllister, Rowan and
            Rhinehart, Nicholas and
            Levine, Sergey and
            Gal, Yarin},
    booktitle={International Conference on Machine Learning (ICML)},
    year={2020}
}