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Date of starting: 1st February 2018 Doctoral school: IAEM/University of Lorraine-Nancy Context Issues & challenges Statement 1. High Safety performance assigned to AV 2. Conventional validation methods are insufficient 3. Use of additional solutions to ensure safety validation Ensure a "Safety of the Intended Functionality" : PAS 21448 SOTIF Setting up rules for the proper operation of the vehicle and the interaction with the driver and systematic use of (massive) simulation Scientific issue of the thesis How to ensure the validation by simulation of the safety of the AV with regard to its performance limitations? For PSA, contribution to the AV safety demonstration. Scientific approach State of the art Contribution to the specification and demonstration of autonomous vehicle safety , based on situations and usage scenarios and their probabilistic assessment Standard vehicle engineering The driver is responsible of the control of the vehicle Validation of the safety requirements (related to critical Hazardous Events) Specification of key concepts for scenario generation Input for generation: Con cept of “Situation”, Identification of entities of the operational environment and their parameters, B ehaviours of the AV and the other road users Key concepts proposals: Situation, Scenario, Event and Action Events identification and deviation concept Integration of factors that impact AV performances (incl . Safety issues) Use of HAZOP (HAZard and OPerability analysis) Generation specification Overview of the generation methodology Conceptual model Use of an MBSE methodology (Harmony - SE, SysML) Perspectives: Safety analysis of scenarios, their probabilistic assessment and coverage Definition of the criticality of a scenario P robabilistic assessment of the criticality of a scenario (Uncertainty consideration) Over - sampling of critical scenarios during generation and statistical coverage evaluation Autonomous vehicle (AV) engineering Driver out of the loop of decision Vehicle control responsibility (total or partial) to the manufacturer Demonstration of safety performance at least equal to those of the human State of the art on AV technologies and functions State of the art on AV safety 1.State the art 2.Modelling of situations and usage scenarios 3.Consideration of deviations in operational situations and specification of a scenario generator motor Specification of concepts: scene, situation, scenario, action, event Method for identifying and generating scenarios 4.Development of a safety assessment metric consistent with the safety specification of each class of situations and scenarios 5.Oversample critical situations and evaluate the final static coverage of the generation 6. Writing of the thesis thesis ISO 26262 vs ISO/PAS 21448 SOTIF AV architecture & Technological issues Source : CertX PhD student : Tchoya Florence KONE tchoyaflorence [email protected]/tchoya- florence [email protected] Thesis directors : Eric LEVRAT eric [email protected] , Eric BONJOUR eric [email protected] , Stéphane GERONIMI stephane [email protected] Bibliography Koopman , P . and al . 2016 . “Challenges in Autonomous Vehicle Testing and Validation . Raffaëlli and al . 2016 . ‘Facing ADAS Validation Complexity with Usage Oriented Testing . Ulbrich , S . et al . ( 2014 ) ‘Graph - Based Context Representation , Environment Modeling and Information Kalra , Nidhi , and Susan M Paddock . 2016 . “Driving to Safety . RAND Corporation - Www . Rand . Org . Publications: « Safety demonstration of Autonomous vehicles : a review and future research questions » ( Accepted), CSDM Paris 2019 . Challenges for Autonomous Vehicles (AVs) engineering : Safety validation of functional performance limitations, INSIGHT INCOSE (International Council on Systems Engineering )
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Page 1: Contribution to the specification and demonstration of ...w3.cran.univ-lorraine.fr/perso/didier.maquin/APIL... · “Challengesin Autonomous Vehicle Testing and Validation. Raffaëlli

Date of starting: 1st February 2018

Doctoral school: IAEM/University of Lorraine-Nancy

Context

Issues & challenges Statement1. High Safety performance assigned to AV

2. Conventional validation methods are insufficient

3. Use of additional solutions to ensure safety validation Ensure a "Safety of the Intended Functionality": PAS 21448 SOTIF

• Setting up rules for the proper operation of the vehicle and the interaction

with the driver and systematic use of (massive) simulation

Scientific issue of the thesisHow to ensure the validation by simulation of the safety of the AV withregard to its performance limitations?For PSA, contribution to the AV safety demonstration.

Scientific approach

State of the art

Contribution to the specification and demonstration of autonomous vehicle

safety, based on situations and usage scenarios and their probabilistic assessment

Standard vehicle engineering

The driver is responsible of the

control of the vehicle

Validation of the safety

requirements (related to critical

Hazardous Events)

Specification of key concepts for scenario generation Input for generation: Concept of “Situation”, Identification of

entities of the operational environment and their parameters,

Behaviours of the AV and the other road users

Key concepts proposals: Situation, Scenario, Event andAction

Events identification and deviation concept Integration of factors that impact AV performances (incl. Safety issues)

Use of HAZOP (HAZard and OPerability analysis)

Generation specificationOverview of the generation methodology

Conceptual model Use of an MBSE methodology (Harmony-SE, SysML)

Perspectives: Safety analysis of scenarios, theirprobabilistic assessment and coverage Definition of the criticality of a scenario

Probabilistic assessment of the criticality of a scenario (Uncertainty

consideration)

Over-sampling of critical scenarios during generation and statistical coverage

evaluation

Autonomous vehicle (AV) engineering

Driver out of the loop of decision

Vehicle control responsibility (total or

partial) to the manufacturer

Demonstration of safety performance at

least equal to those of the human

State of the art on AV

technologies and functions State of the art on AV safety

1.State the art

2.Modelling of situations

and usage scenarios

3.Consideration of deviations

in operational situations and

specification of a scenario

generator motor

Specification of

concepts: scene,

situation,

scenario, action,

event

Method for

identifying and

generating

scenarios

4.Development of a safety

assessment metric

consistent with the safety

specification of each class

of situations and scenarios

5.Oversample critical

situations and evaluate the

final static coverage of the

generation

6. Writing of the

thesis thesis

ISO 26262 vs

ISO/PAS 21448 SOTIF

AV architecture &

Technological issues

Source : CertX

PhD student: Tchoya Florence KONE

[email protected]/tchoya-

[email protected]

Thesis directors: Eric LEVRAT [email protected],Eric BONJOUR [email protected],

Stéphane GERONIMI [email protected]

BibliographyKoopman, P. and al. 2016. “Challenges in Autonomous Vehicle Testing and Validation.

Raffaëlli and al. 2016. ‘Facing ADAS Validation Complexity with Usage Oriented Testing.’

Ulbrich, S. et al. (2014) ‘Graph-Based Context Representation , Environment Modeling and Information

Kalra, Nidhi, and Susan M Paddock. 2016. “Driving to Safety.” RAND Corporation - Www.Rand.Org.

Publications: « Safety demonstration of Autonomous vehicles: a review and future research questions »

(Accepted), CSDM Paris 2019. Challenges for Autonomous Vehicles (AVs) engineering: Safety validation of functional

performance limitations, INSIGHT INCOSE (International Council on Systems Engineering)

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