AUTOSARは自動車用OSの業界団体規格です。　
業務で利用する場合には、会員になることを条件にしています。

2002年から20年経ち、当初の狙いの段階に近づいてきました。

MATLABでモデルさえ記述すれば、あとは自動生成だけでソフトが完成するところまで、あと一歩です。
Ethernet, UNIXが生まれて20年で大衆化したのと同じように考えると分かりやすいでしょう。　

AUTOSARの上で動く、クラウド対応のミドルウェアが出て、開発も運用もクラウドになれば、一気にAUTOSARは大衆化するでしょう。

AUTOSAR Abstract Platformへの道 R22-11

AUTOSARは、ISO、IEC、ITUと情報交換契約を結んでいません。
AUTOSAR文書には、ISO、IEC,ITU記述を全文引用することはできません。
WTO/TBT協定に基づき、国際的な調達は国際規格との差異を記述することにより文化依存しない仕様を目指します。
ISO、IEC、ITU文書を合わせて読むと技術内容は理解できます。　
CAN、OSEK/VDX OS、DIAGは、ISO定義を先に確認しましょう。　　
OSEK COM、OSEK NMなどはISOの規定から、基本的な部分でAUTOSARでは定義を変えています。
AUTOSARで変更している部分を仕様等で明記するか、ISOを改定するとよいでしょう。　

AUTOSARの参考文献欄の改定が進んでいません。　
Glossary用語定義の網羅性が低いです。
本文を読む前に確認するとよいかもしれません。
本文を読んでから確認してもよいかもしれません。

＜この記事は書きかけです。順次追記します。＞
This article is not completed. I will add some words in order.

2023年4月URL変更

この項は2023年4月21日、AUTOSARの文書のURLが変更になった。
/classic/22-11/
が
/R22-11/CP/
過去記事で、URLでエラーが出たら書き換えてみてください。

/adaptive/22-11/
は　
/R22-11/AP/

/foundation/22-11/
は　
/R22-11/FO/
です。

2023年11月URL変更

2023年11月にもAUTOSAR文書のURLが変更になっている。
/user_upload/standards/classic/21-11/
を
/standards/R21-11/CP/
などに書き換えてください。

/user_upload/standards/adaptive/21-11/
を
/standards/R21-11/AP/

/user_upload/standards/foundation/21-11/
を
/standards/R21-11/FO/

お手数をおかけします。
１年に２度URLを変更するなんて、新しい記事が書ける。とても嬉しい。

一覧

AUTOSAR R22-11 Qiita記事一覧 20230421 。

この記事の表題の最後に「20230421」を加えます。

AUTOSARが、2022年の版、R22-11を公開しました。

R21-11

R20-11

R19-11

文書は検索してダウンロードできます。

R20-11,R21-11, R22-11の３年分だけになりました。

公開行事の模様は

AUTOSAR R22-11 Release Event 20221208

Classic Platform Release Overview, AUTOSAR No.0 ,R22-11, CP, 20230421

Foundation Release Overview, AUTOSAR, 781, R22-11, FO, 20230421

Adaptive Platform Release Overview, AUTOSAR 782, R22-11, AP, 20230421

要求仕様対応(Requirement and Specification)

Abstract Platformとの関係

Template, TypeはAbstract Platformで統一的に定義するとよい。　
Template, Typeで FO,AP,CP全体の全文書を一つに統合するとよい。

<この項は書きかけです。順次追記します。>

文書変更(Document Change)

• Add definition of PLN2 and VMC1
• Revision of Functional description of
ADAS Application
• Revision of ADAS Manager functions
and function description
• Add Appendix A and revision of
Appendix B

用語(terms)

Term	Description
ABS	Antilock Braking System
ACC	Adaptive Cruise Control
ACL	Acceleration
ACT	Actuator
ADAS	Advance Driver Assistance System
AEB	Autonomous Emergency Braking
BAS	Brake Assist
BRK	Brake
BRWS	Basic Rear Wheel Steering
BSTS	Basic Steering Torque Superposition
BSAS	Basic Steering Angle Superposition
CBC	Cornering Brake Control
CoG	Centre of Gravity
DAS	Driver Assistance System
DTC	Regulation of the Drag Torque
EBD	Electronic Brake Force Distribution
ECU	Electronic Control Unit
EPB	Electronic Parking Brake
ESC	Electronic Stability Control
FA	Front Axle
HDC	Hill Decent Control
HHC	Hill Hold Control
HMI	Human Machine Interface
HW	Hardware
I/F	Interface
LKA	Lane Keep Assist
MGR	Manager
NVH	Noise, Vibration, Harshness
OEM	Original Equipment Manufacturer
PT	Powertrain
RA	Rear Axle
RSC	Roll Stability Control
SR	Situation Recognition
SSM	Stand Still Manager/Management
STR	Steering
SW	Software
SW-C	Software Component
TCS	Traction Control System
VFB	Virtual Function Bus
VGR	Variable Gear Ratio
VLC	Vehicle Longitudinal Control
VM	Vehicle Model
VMC	Vehicle Motion Control
VSS	Vehicle State Sensors
YRC	Yaw Rate Control

英日

日本語は仮訳

T.B.D.

参考(reference)

[1] Explanation of Application Interfaces of the Chassis Domain
AUTOSAR_EXP_AIChassis
[2] ISO 8855:2011, Road vehicles – Vehicle dynamics and road-holding ability – Vocabulary
http://www.iso.org
[3] Glossary, AUTOSAR_TR_Glossary
https://www.autosar.org/fileadmin/standards/R22-11/FO/AUTOSAR_TR_Glossary.pdf
[4] ISO 26262:2018 (all parts) – Road vehicles – Functional Safety
http://www.iso.org

[5] ISO/PAS 21448:2019 – Road vehicles – Safety of the intended functionality http://www.iso.org

ISO 21448:2022
Road vehicles — Safety of the intended functionality

2 Normative references

ISO 26262-1, Road vehicles — Functional safety — Part 1: Vocabulary

Bibliography

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[2] Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles, SAE Recommended Practice J3016_201806, https://www.sae.org/standards/content/j3016_201806
[3] Ulbrich S., Menzel T., Reschka A., Schuldt F., Mauer M., Defining and Substantiating the Terms Scene, Situation, and Scenario for Automated Driving", 2015 IEEE 18th International Conference on Intelligent Transportation Systems (ITSC), https://doi.org/10.1109/ITSC.2015.164
[4] CENELEC EN 50126-2:2017, Railway Applications - The Specification and Demonstration of Reliability, Availability, Maintainability and Safety (RAMS) - Part 2: Systems Approach to Safety
[5] ISO 34502, Road vehicles - Engineering framework and process of scenario-based safety evaluation
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[8] NASS General Estimates System (GES), US Department of Transportation, https://www.nhtsa.gov/national-automotive-sampling-system/nass-general-estimates-system
[9] CARE database (Community database on Accidents on the Roads in Europe), https://road-safety.transport.ec.europa.eu/statistics-and-analysis/methodology-and-research/care-database_en
[10] IGLAD (Europe), http://www.iglad.net/
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[12] DIN SAE SPEC 91381:2019, Terms and Definitions Related to Testing of Automated Vehicle Technologies
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[15] Stellet J.E., Brade T., Poddey A., Jesenski S., Branz W., Formalisation and algorithmic approach to the automated driving validation problem", 2019 IEEE Intelligent Vehicles Symposium (IV), https://doi.org/10.1109/IVS.2019.8813894
[16] Shappell S.A., Wiegmann D.A., The Human Factors Analysis and Classification-System – HFACS, February 2000 Final Report. This document is available to the public through the National Technical Information Service, Springfield, Virginia 22161
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[18] BSI PAS 1883:2020, AVSC Best Practice for Describing an Operational Design Domain
[19] Leveson N., Engineering a Safer World – Systems Thinking Applied to Safety. MIT Press, Cambridge, Massachusetts, USA 2011
[20] Leveson N., Thomas J., STPA-Handbook. 2018. Available for download at psas.scripts.mit.edu/home/get_file.php?name=STPA_handbook.pdf
[21] Abdulkhaleq A. et al., A Systematic Approach Based on STPA for Developing a Dependable Architecture for Fully Automated Driving Vehicles, 4th European STAMP Workshop 2016, Procedia Engineering, 179, 41-51, 2017 https://www.sciencedirect.com/science/article/pii/S1877705817312109
[22] Abdulkhaleq A.,, Wagner, S, Lammering, D, Boehmert, H, Blueher, P Using STPA in Compliance with ISO 26262 for Developing a Safe Architecture for Fully Automated Vehicles. arXiv preprint arXiv:1703.03657, 2017.
[23] Abdulkhaleq A., Wagner S., Leveson N., A Comprehensive Safety Engineering approach for Software-Intensive Systems Based on STPA. Procedia Engineering, 128:2–11, 2015, https://www.researchgate.net/publication/265508075_Experiences_with_Applying_STPA_to_Software-Intensive_Systems_in_the_Automotive_Domain
[24] Sabaliauskaite G., Shen Liew L., Cui J., Integrating Autonomous Vehicle Safety and Security Analysis Using STPA Method and the Six-Step Model. International Journal on Advances in Security, 11(1&2):160–169, 2018.
[25] ISO 26262 (all parts), Road vehicles — Functional safety
[26] Fabris S., Priddy J., Harris F., “Method for Hazard Severity Assessment for the Case of Unintended Deceleration”, presented at 2012 VDA Auto SYS conference in Berlin.
[27] Piao J., McDonald M., Low speed car following behaviour from floating vehicle data’. IEEE IV2003 Intelligent Vehicles Symposium.
[28] Allen R., Magdaleno R., Serafin C., Eckert S., , Sieja F., Driver Car Following Behavior Under Test Track and Open Road Driving Condition," SAE Technical Paper 970170, 1997, https://doi.org/10.4271/970170
[29] Traffic Safety Facts N.H.T.S.S.A., 2015, https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/812384
[30] Fabris S., Priddy J., Harris F., “Method for hazard severity assessment for the case of undemanded deceleration.”, Presented at VDA Automotive SYS Conference, Berlin, June 19/20, 2012, https://www.researchgate.net/publication/344452155_Method_for_hazard_severity_assessment_for_Method_for_hazard_severity_assessment_for_the_case_of_undemanded_deceleration_-_Simone_Fabris.
[31] Littlewood B., Wright D., “Some Conservative Stopping Rules for the Operational Testing of Safety-Critical Software”, IEEE Trans. SW Engng., 23(11), 673-683, Nov. 1997
[32] SIPOC – Wikipedia, https://en.wikipedia.org/wiki/SIPOC
[33] Hirsenkorn N., Kolsi H., Selmi M., Schaermann A., Hanke T., Rauch A., Rasshofer R., Biebl E., Learning Sensor Models for Virtual Test and Development. 11. Workshop Fahrerassistenzsysteme und automatisiertes Fahren, UniDAS, Walting, 2017
[34] de Gelder E., Paardekooper J.P., “Assessment of Automated Driving Systems using real-life scenarios,” IEEE Intell. Veh. Symp. Proc., no. IV, pp. 589–594, 2017.
[35] Functional Mockup Interface, http://functional-mockup-interface.org/
[36] ASAM OpenDRIVE, http://www.asam.net/standards/detail/opendrive/
[37] ASAM OpenCRG, http://www.asam.net/standards/detail/opencrg/
[38] ASAM OpenSCENARIO, http://www.asam.net/standards/detail/openscenario/
[39] Open Simulation Interface (OSI), https://github.com/OpenSimulationInterface
[40] Navigation Data Standard, https://www.nds-association.org/
[41] CityGML, http://www.opengeospatial.org/standards/citygml
[42] Vaicenavicius J., Wiklund T., Grigaite A., Kalkauskas A., Vysniauskas I., Keen S. D., Self-driving car safety quantification via component-level analysis’. SAE International Journal of Connected and Automated Vehicles, Volume 4, Issue 1, pp 35-45, 2021.
[43] Shalev-Schwarz S., Shammah S., Shashua A., On a Formal Model of Safe and Scalable Self-driving Cars https://arxiv.org/abs/1708.06374v6
[44] Nistér D., Lee H.-L., Ng J., Wang Y., An Introduction to the Safety Force Field, https://www.nvidia.com/content/dam/en-zz/Solutions/self-driving-cars/safety-force-field/an-introduction-to-the-safety-force-field-v2.pdf
[45] FRAADE-BLANDAR L, BLUMENTHAL M. S., ANDERSON J. M. KALRA N. – RAND: Measuring Automated Vehicle Safety – https://www.rand.org/content/dam/rand/pubs/research_reports/RR2600/RR2662/RAND_RR2662.pdf
[46] Kendall A., Gal Y., “What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?”, NIPS 2017.
[47] Phan B., Khan S., Salay R., Czarnecki K., “Bayesian Uncertainty Quantification with Synthetic Data”. WAISE 2019.
[48] Koopman P., Wagner M., Autonomous Vehicle Safety: An Interdisciplinary Challenge," IEEE Intelligent Transportation Systems Magazine, Special Issue on SSIV, 2017, in press Vol. 9 #1, Spring 2017, pp. 90-96
[49] Molnar C., A Guide for Making Black Box Models Explainable, 2021, https://christophm.github.io/interpretable-ml-book/
[50] Zhang Q., Zhu S.-C., Visual Interpretability for Deep Learning: a Survey", 2018, https://arxiv.org/abs/1802.00614
[51] Lapuschkin S., Wäldchen S., Binder A., Montavon G., Samek W., Müller K. R., "Unmasking Clever Hans predictors and assessing what machines really learn", 2019, In: Nature Communications 1096 (2019), https://www.nature.com/articles/s41467-019-08987-4
[52] U.S. Department of Transportation. (Jul.2017). Vehicle-to-vehicle communication technology.[Online]. Available:https://www.nhtsa.gov/sites/nhtsa.dot.gov/files/documents/v2v_fact_sheet_101414_v2a.pdf
[53] Tsugawa S., Jeschke S., Shladover S. E., “A Review of Truck Platooning Projects for Energy Savings”, IEEE Transactions on Intelligent Vehicles, vol. 1, no. 1, 2016
[54] Wang J., Liu J., Kato N., “Networking and communications in autonomous driving: A survey”, IEEE Communications Surveys & Tutorials, vol.21. no.2, Q2, 2019
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[57] ISO/IEC/IEEE 15288, Systems and software engineering — System life cycle processes

[6] JASPAR Standards Document: ST-AVI-1 – AD/ADAS Vehicle Motion Control Interface Specification Ver. 2.0

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＜この記事は個人の過去の経験に基づく個人の感想です。現在所属する組織、業務とは関係がありません。＞
This article is an individual impression based on the individual's experience. It has nothing to do with the organization or business to which I currently belong.

文書履歴(document history)

ver. 0.01 初稿　　20230813

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