Resolving Confusion of Unknowns in Autonomous Vehicles: Types and Perspectives
Kaushik Madala, Hyunsook Do
2021
Abstract
Autonomous vehicles are susceptible to unknowns. In particular, vehicles with SAE level 5 of driving automation, which need to operate in complex operational design domain (ODD) conditions, have a very high chance to face unknowns. While the industrial standards ISO 21448 and UL 4600 hint at analyzing unknowns from the analysts and engineers’ perspective, the unknowns from different perspectives such as a autonomous vehicle or a machine learning model within an autonomous vehicle can differ from those perceived by engineers and analysts. In this paper, we discuss the different types of unknowns considering three different perspectives: analysts and engineers, autonomous vehicles, and machine learning (ML) models. We also clarify the often confused concepts of unknown knowns and unknowns unknowns for each perspective. Using a running example, we show how considering unknowns from different perspectives will aid in designing a safe autonomous vehicle.
DownloadPaper Citation
in Harvard Style
Madala K. and Do H. (2021). Resolving Confusion of Unknowns in Autonomous Vehicles: Types and Perspectives. In Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-513-5, pages 646-653. DOI: 10.5220/0010482106460653
in Bibtex Style
@conference{vehits21,
author={Kaushik Madala and Hyunsook Do},
title={Resolving Confusion of Unknowns in Autonomous Vehicles: Types and Perspectives},
booktitle={Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2021},
pages={646-653},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010482106460653},
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 - Resolving Confusion of Unknowns in Autonomous Vehicles: Types and Perspectives
SN - 978-989-758-513-5
AU - Madala K.
AU - Do H.
PY - 2021
SP - 646
EP - 653
DO - 10.5220/0010482106460653