lyft-motion-prediction-for-autonomous-vehicle

Description

Build motion prediction models for self-driving vehicles to predict other car/cyclist/pedestrian (called "agent")'s motion.

The image from L5Kit official document: http://www.l5kit.org/README.html
Lyft official page: https://self-driving.lyft.com/level5/prediction/

Table of Contents

• Environment Setup
• Model
• Training
• Prediction

Environment Setup

• Python 3.* is installed
• Set permission

chmod 700 bin/bootstrap

• Run the bootstrap for installing the requirements

bin/bootstrap

Dataset

Dataset is not present in this repo, please download the Lyft Level 5 Prediction Dataset kit from the official website, and cite the following in your work:

@misc{lyft2020,
  title = {One Thousand and One Hours: Self-driving Motion Prediction Dataset},
  author = {Houston, J. and Zuidhof, G. and Bergamini, L. and Ye, Y. and Jain, A. and Omari, S. and Iglovikov, V. and Ondruska, P.},
  year = {2020},
  howpublished = {\url{https://level5.lyft.com/dataset/}}
}

Unzip the the dataset into the folder dataset/.

Training

• After installing all the requirements, run the following command for trainig

python train.py -d -gpu -model MODEL_NAME

• -d: debug mode, default is False
• -gpu: train on GPU, default is on CPU
• model: REQURIED, all the available models are in the folder model/, simply input the name of the model file.
  (eg. -model baseline for model baseline.py)

Prediction