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Unsettled Issues in Determining Appropriate Modeling Fidelity for Automated Driving Systems Simulation.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Unsettled Issues in Determining Appropriate Modeling Fidelity for Automated Driving Systems Simulation./
Author:	Beiker, Sven.
Description:	1 online resource ;cm.
Notes:	The authors of this document together with the SAE Team responsible for its creation join in expressing our deepest appreciation to all of the individuals who contributed.
Subject:	Simulation and modeling. -
Online resource:	點擊此處連結全文 ( Full Text )

Unsettled Issues in Determining Appropriate Modeling Fidelity for Automated Driving Systems Simulation.
Beiker, Sven.

Unsettled Issues in Determining Appropriate Modeling Fidelity for Automated Driving Systems Simulation. - 1 online resource ;cm.

The authors of this document together with the SAE Team responsible for its creation join in expressing our deepest appreciation to all of the individuals who contributed.

Includes bibliographical references.

This SAE EDGE Research Report identifies key unsettled issues of interest to the automotive industry regarding the challenges of achieving optimal model fidelity for developing, validating, and verifying vehicles capable of automated driving. Three main issues are outlined that merit immediate interest:SAE EDGE Research Reports are preliminary investigations of new technologies. The three technical issues identified in this report need to be discussed in greater depth with the aims of, first, clarifying the scope of the industry-wide alignment needed; second, prioritizing the issues requiring resolution; and, third, creating a plan to generate the necessary frameworks, practices, and protocols.NOTE: SAE EDGE Research Reports are intended to identify and illuminate key issues in emerging, but still unsettled, technologies of interest to the mobility industry. The goal of SAE EDGE Research Reports is to stimulate discussion and work in the hope of promoting and speeding resolution of identified issues. SAE EDGE Research Reports are not intended to resolve the issues they identify or close any topic to further scrutiny.Subjects--Topical Terms:

1000138203
Simulation and modeling.

Unsettled Issues in Determining Appropriate Modeling Fidelity for Automated Driving Systems Simulation.
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245 1 0 $a Unsettled Issues in Determining Appropriate Modeling Fidelity for Automated Driving Systems Simulation.
264 1 $a Warrendale, PA : $b SAE International, $c 2019.
300 $a 1 online resource ; $c cm.
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337 $a computer $b c $2 rdamedia
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500 $a The authors of this document together with the SAE Team responsible for its creation join in expressing our deepest appreciation to all of the individuals who contributed.
504 1 $a Includes bibliographical references.
520 3 $a This SAE EDGE Research Report identifies key unsettled issues of interest to the automotive industry regarding the challenges of achieving optimal model fidelity for developing, validating, and verifying vehicles capable of automated driving. Three main issues are outlined that merit immediate interest:SAE EDGE Research Reports are preliminary investigations of new technologies. The three technical issues identified in this report need to be discussed in greater depth with the aims of, first, clarifying the scope of the industry-wide alignment needed; second, prioritizing the issues requiring resolution; and, third, creating a plan to generate the necessary frameworks, practices, and protocols.NOTE: SAE EDGE Research Reports are intended to identify and illuminate key issues in emerging, but still unsettled, technologies of interest to the mobility industry. The goal of SAE EDGE Research Reports is to stimulate discussion and work in the hope of promoting and speeding resolution of identified issues. SAE EDGE Research Reports are not intended to resolve the issues they identify or close any topic to further scrutiny.
520 2 $a SAE EDGE Research Reports provide state-of-the-art and state-of-industry examinations of the most significant topics in mobility engineering. SAE EDGE contributors are experts from research, academia, and industry who have come together to explore and define the most critical advancements, challenges, and future direction in areas such as vehicle automation, unmanned aircraft, IoT and connectivity, cybersecurity, advanced propulsion, and advanced manufacturing.
542 $d SAE International $f � 2021 SAE International. All Rights Reserved.
650 4 $a Simulation and modeling. $3 1000138203
650 4 $a Automated Vehicles. $3 1000138172
650 4 $a Research and development. $3 1000138173
650 4 $a Calibration. $3 1000138204
650 4 $a Vehicle drivers. $3 1000138205
650 4 $a Mobility. $3 1000138177
772 0 0 $k SAE EDGE Research Report
856 4 0 $z 點擊此處連結全文 ( Full Text ) $u https://doi.org/10.4271/EPR2019007