Towards a Rule-based Approach for Estimating the Situation Difficulty in Driving Scenarios

Maximilian Schukraft, Susanne Rothermel, Juergen Luettin, Lavdim Halilaj

Abstract

The task of safe driving poses a huge challenge for drivers in day to day driving situations. Many times, this task can be very difficult, e.g., due to dense traffic, bad weather conditions, or a risky driving maneuver, and thus demand high concentration of the driver. The difficulty level escalates by the ever-increasing infotainment offers inside vehicles or distractions caused by occupants thus making substantial contribution to the driver distraction. This often results in dangerous driving situations which could be avoided by Advanced Driver Assistance Systems or highly automated driving systems taking the situation difficulty into account. E.g., an incoming phone call is postponed during a difficult situation. However, current systems do not consider all factors that influence the difficulty of a given situation. In this paper, we present an approach for estimating the difficulty of a driving situation by combining a number of different factors, such as environmental, inside-vehicle, driver state and personal characteristics, respectively. Our approach follows a rule-based paradigm to make the difficulty estimation reproducible and adjustable to current traffic rules. It is based on a generic and modularized architecture to allow integration and abstraction from heterogeneous data sources. Further, a feedback is provided to the driver or system to explain the contribution of the various factors to the difficulty status. Finally, we demonstrate the capability of the proposed approach with concrete examples, where we estimate the difficulty in various driving scenarios and for different drivers.

Download


Paper Citation


in Harvard Style

Schukraft M., Rothermel S., Luettin J. and Halilaj L. (2021). Towards a Rule-based Approach for Estimating the Situation Difficulty in Driving Scenarios. In Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-513-5, pages 720-730. DOI: 10.5220/0010527807200730


in Bibtex Style

@conference{vehits21,
author={Maximilian Schukraft and Susanne Rothermel and Juergen Luettin and Lavdim Halilaj},
title={Towards a Rule-based Approach for Estimating the Situation Difficulty in Driving Scenarios},
booktitle={Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2021},
pages={720-730},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010527807200730},
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 - Towards a Rule-based Approach for Estimating the Situation Difficulty in Driving Scenarios
SN - 978-989-758-513-5
AU - Schukraft M.
AU - Rothermel S.
AU - Luettin J.
AU - Halilaj L.
PY - 2021
SP - 720
EP - 730
DO - 10.5220/0010527807200730