Validation of collision frequency estimation using extreme value theory

Åsljung, Daniel; Nilsson, Jonas; Fredriksson, Jonas

doi:10.1109/itsc.2017.8317596

Cited by 2 publications

(1 citation statement)

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“…Testing and verification of vehicle systems is always a major part of the development and driving automation systems are no exception. In fact verification might prove one of the most challenging aspects of the development of these systems [132]. In [133] it is shown that automated vehicles would have to be driven hundreds of millions of miles and sometimes hundreds of billions of miles to demonstrate their reliability in terms of fatalities and injuries.…”

Section: Verification Of Automated Vehiclesmentioning

confidence: 99%

Trends in vehicle motion control for automated driving on public roads

Klomp

Jonasson

Laine

et al. 2019

Vehicle System Dynamics

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In this paper we describe how vehicle systems and the vehicle motion control are affected by automated driving on public roads. We describe the redundancy needed for a road vehicle to meet certain safety goals. The concept of system safety as well as system solutions to fault tolerant actuation of steering and braking and the associated fault tolerant power supply is described. Notably restriction of the operational domain in case of reduced capability of the driving automation system is discussed. Further we consider path tracking, state estimation of vehicle motion control required for automated driving as well as an example of a minimum risk maneuver and redundant steering by means of differential braking. The steering by differential braking could offer heterogeneous or dissimilar redundancy that complements the redundancy of described fault tolerant steering systems for driving automation equipped vehicles. Finally the important topic of verification of driving automation systems is addressed.

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Section: Verification Of Automated Vehiclesmentioning

confidence: 99%

Trends in vehicle motion control for automated driving on public roads

Klomp

Jonasson

Laine

et al. 2019

Vehicle System Dynamics

View full text Add to dashboard Cite

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A Novel Approach for the Safety Validation of Emergency Intervention Functions Using Extreme Value Estimation

Schrimpf,

Betschinske,

Peters

2024

SAE Technical Paper Series

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<div class="section abstract"><div class="htmlview paragraph">As part of the safety validation of advanced driver assistance systems (ADAS) and automated driving (AD) functions, it is necessary to demonstrate that the frequency at which the system exhibits hazardous behavior (HB) in the field is below an acceptable threshold. This is typically tested by observation of the system behavior in a field operational test (FOT). For situations in which the system under test (SUT) actively intervenes in the dynamic driving behavior of the vehicle, it is assessed whether the SUT exhibits HB. Since the accepted threshold values are generally small, the amount of data required for this strategy is usually very large. This publication proposes an approach to reduce the amount of data required for the evaluation of emergency intervention systems with a state machine based intervention logic by including the time periods between intervention events in the validation process. For this purpose, a proximity measure that indicates how close the system is to an intervention at each point in time during the test drive is proposed. The application of this proximity measure and the definition of a corresponding threshold value makes it possible to expand the set of observable intervention events by events in which the system is close to an intervention. Thus, a subsequent assessment of these additional events regarding HB enables the data basis to be expanded to include events in which the system is close to exhibiting HB. This additional information is intended to be leveraged in the application of an extreme value estimator for deriving an estimate of the frequency at which the system is expected to exhibit HB on longer test distances. This publication focuses primarily on deriving and demonstrating the described proximity measure and provides an outlook on further steps required to validate the proposed approach.</div></div>

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Validation of collision frequency estimation using extreme value theory

Cited by 2 publications

References 10 publications

Trends in vehicle motion control for automated driving on public roads

Trends in vehicle motion control for automated driving on public roads

A Novel Approach for the Safety Validation of Emergency Intervention Functions Using Extreme Value Estimation

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