The Need for Location-based Machine Learning Models for Level 5 Automated Vehicles

Kaushik Madala, Hyunsook Do

2021

Abstract

Assuring safety of machine learning (ML) models in autonomous vehicles is a challenging task. This is because of the complex operational design domain (ODD) settings under which we need to validate ML models. In particular, autonomous vehicles with level 5 of driving automation need to operate under any ODD conditions, and should ensure safety of both road users and passengers. However, deploying common ML models across a fleet of vehicles to operate in multiple regions can complicate the safety assurance process.Even when an ML model is found to be causing a crash due to an ODD condition occurring in only one of the regions, we still should update it across the fleets of all regions. If we can limit its update within that particular region, we can reduce the complexity of safety assurance. In this paper, we propose the location-based machine learning models for level 5 automated vehicles to address this problem and how they will be helpful compared to deploying instances of global ML models which are same across a company’s fleets of vehicles.

Paper Citation

in Harvard Style

Madala K. and Do H. (2021). The Need for Location-based Machine Learning Models for Level 5 Automated Vehicles. In Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-513-5, pages 654-661. DOI: 10.5220/0010483706540661

in Bibtex Style

@conference{vehits21,
author={Kaushik Madala and Hyunsook Do},
title={The Need for Location-based Machine Learning Models for Level 5 Automated Vehicles},
booktitle={Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2021},
pages={654-661},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010483706540661},
isbn={978-989-758-513-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - The Need for Location-based Machine Learning Models for Level 5 Automated Vehicles
SN - 978-989-758-513-5
AU - Madala K.
AU - Do H.
PY - 2021
SP - 654
EP - 661
DO - 10.5220/0010483706540661