Prospective and Monetary Effectiveness Assessment Method for Advanced Driver Assistance Systems-Usage of Naturalistic Driving Studies and Experimental System Tests

Philip Feig; Julian Schatz; Klaus Gschwendtner; Markus Lienkamp

doi:10.1109/MITS.2018.2867506

Prospective and Monetary Effectiveness Assessment Method for Advanced Driver Assistance Systems-Usage of Naturalistic Driving Studies and Experimental System Tests

Philip Feig
, Julian Schatz
, Klaus Gschwendtner
, Markus Lienkamp

Chair of Automotive Technology

Technical University of Munich
AUDI AG

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

This paper offers a comprehensive overview of a prospective and monetary effectiveness assessment method for advanced driver assistance systems using naturalistic driving studies and experimental system tests for a field-projected effectiveness of monetarily relevant collisions-parking and maneuvering. Research shows that this kind of collision is responsible for up to 40% of all insurance claims and for up to 30% of all claim costs worldwide. Therefore, this paper describes a monetary and prospective method for assessment based on an in-depth insurance accident database, experimental tests or simulations and naturalistic driving studies that evaluate the monetary effectiveness of an advanced driver assistance system.

Original language	English
Article number	8463479
Pages (from-to)	10-23
Number of pages	14
Journal	IEEE Intelligent Transportation Systems Magazine
Volume	10
Issue number	4
DOIs	https://doi.org/10.1109/MITS.2018.2867506
State	Published - 1 Dec 2018

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10.1109/MITS.2018.2867506

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abstract = "This paper offers a comprehensive overview of a prospective and monetary effectiveness assessment method for advanced driver assistance systems using naturalistic driving studies and experimental system tests for a field-projected effectiveness of monetarily relevant collisions-parking and maneuvering. Research shows that this kind of collision is responsible for up to 40\% of all insurance claims and for up to 30\% of all claim costs worldwide. Therefore, this paper describes a monetary and prospective method for assessment based on an in-depth insurance accident database, experimental tests or simulations and naturalistic driving studies that evaluate the monetary effectiveness of an advanced driver assistance system.",

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Prospective and Monetary Effectiveness Assessment Method for Advanced Driver Assistance Systems-Usage of Naturalistic Driving Studies and Experimental System Tests. / Feig, Philip; Schatz, Julian; Gschwendtner, Klaus et al.
In: IEEE Intelligent Transportation Systems Magazine, Vol. 10, No. 4, 8463479, 01.12.2018, p. 10-23.

Research output: Contribution to journal › Article › peer-review

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AU - Gschwendtner, Klaus

AU - Lienkamp, Markus

PY - 2018/12/1

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Prospective and Monetary Effectiveness Assessment Method for Advanced Driver Assistance Systems-Usage of Naturalistic Driving Studies and Experimental System Tests

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