Skip to content

Latest commit

 

History

History
46 lines (36 loc) · 1.24 KB

README.md

File metadata and controls

46 lines (36 loc) · 1.24 KB

AI Planning and Control

Autonomous vehicle control with CARLA using Learning by Cheating (two front facing camera system)

Installation

Conda Environment

Create a conda environment with Python 3.7

conda create --name carla python=3.7

Activate the conda environment

conda activate carla

Clone the Github Repository

Clone the github repository

git clone https://github.com/MOONLABIISERB/AI_Planning_and_Control.git

Install Dependencies

Use the package manager pip to install dependencies listed in requirements.txt.

pip install -r requirements.txt

Download Checkpoints

Download the model checkpoints from google drive to the root folder.

Usage

Open a terminal and run CARLA Server

./CarlaUE4.sh -RenderOffScreen -fps=10 -benchmark

cd to <path/to/root>/PythonAPI/examples

cd <path/to/root>/PythonAPI/examples
python auto_drive_new.py --agent=LBC

Results

Click to see the simulation recording