ADAS&MEADAPTIVE ADAS TO SUPPORT INCAPACITATED

DRIVERS MITIGATE EFFECTIVELY RISKS THROUGH

TAILOR MADE HMI UNDER AUTOMATION

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SCOUT Workshop“Co-creation of use cases and visions for automated and connected driving in EU”

February 22, 2017Diamant, Brussels

Stella Nikolaou CERTH/HIT snikol@certh.gr

ADAS&ME Vision

• Develop Advanced Driver Assistance Systems (ADAS)

that incorporate driver/rider state, situational/

environmental context and adaptive interaction, to

automatically transfer control between vehicle and

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automatically transfer control between vehicle and

driver/rider and thus ensure safer and more efficient

road usage for all vehicle types (conventional and electric

car, truck, bus, motorcycle)

Automation: User AcceptanceUsers’ feedback related to the usage of automated

vehicles:

End-user expectations

safety (33%) more free time (20%) fuel economy (18%)

lower insurance costs less traffic lower CO2 emissions

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Source: Goldman-Sachs (2015)

lower insurance costs (11%)

less traffic congestions (7%)

lower CO2 emissions (5%)

End-user concerns

equipment failure

(32%)

price of equipment

(18%)

liability (12%)

learning to operate

(8%)

data privacy (7%) losing driving skills

(6%)

…safety is the highest priority for user acceptance and therefore deployment

ADAS&ME Fact Sheet

• Administrative Coordinator: Anna Anund, VTI

• Technical Manager: Evangelos Bekiaris, CERTH

• Innovation Manager: Stella Nikolaou, CERTH

• Topic: MG3.6a “Safe & connected automation in road transport”

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• Topic: MG3.6a “Safe & connected automation in road transport”

• Budget: ~9,5 M€

• Start Date: 01/09/2016

• Duration: 42 months

• Project Officer: Georgios Sarros, INEA

• Project Contact: coordinationteam@adasandme.vti.se

ADAS&ME Consortium

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Kick-Off Meeting – September 8-9, 2016

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High Level Architecture

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ADAS&ME Use Cases

• Use case A: Attentive Long Haul Trucking (SCANIA, DENSO)

• Use case B: Electric Vehicle range anxiety (VEDECOM, VALEO)

• Use case C: Driver state-based smooth & safe automation transitions (DLR, DENSO, TomTom, FORD)

• Use case D: Non-Reacting Driver Emergency Manoeuvre (DLR,

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• Use case D: Non-Reacting Driver Emergency Manoeuvre (DLR, DENSO, TomTom, FORD)

• Use case E: Long range attentive touring with motorbike(DUCATI, DAINESE).

• Use case F: Rider faint (DUCATI, DAINESE).

• Use case G: Passenger pick up/drop off automation for buses(SCANIA, VTI).

ADAS&ME ICT components

• Local Dynamic Map

• Local vehicle Cloud for real-time data processing

• V2X connected safety

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• Assessment of environmental situation dangerousness level

• “Follow-me” manoeuvre in case of non-reacting driver

• Personalisation system (safety, security, user preferences)

• Driver/rider interaction components (acoustic, haptic, visual)

Scenarios: Use case C Driver state-based smooth & safe automation transitions (DLR)

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ICT technologiesHD Map for Automated Driving - TomTom

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Richly Attributed

Lane-level attributes• speed restrictions• divider markings

Position Landmarks

RoadDNA

Highly Accurate

Sub-meter absolute

Decimeter-level relative

Highly Detailed

3D Lane Geometry • markings• centerlines• road boundaries

© 2016 TomTom. All rights reserved.

ICT technologiesTomTom Research Platform for Lane Navigation

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13

Transition SAE0 -> SAE3 due to critical event

ICT technologiesV2X (DENSO)

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14

Automated driving at SAE3

ICT technologiesV2X (DENSO)

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15

Transition SAE3 -> SAE0 due to system limitation

ICT technologiesV2X (DENSO)

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Scenarios: Use Case DNon-Reacting Driver Emergency Manoeuvre

Escalation of use case C:

• Driver does not react on HMI due to critical driver state (inattention,

drowsiness, emotions) Target Ego-Vehicle

Infrastructure

- Dynamic Road InfoB

Example: EM to emergency lane

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drowsiness, emotions)

• Aim: Mitigate crash risk, avoid

crash, inform other road user

• Digital infrastructure, V2X

A

Target Ego-Vehicle

- Driver Monitoring / HMI

- HDMap/Sensing/Control

- V2I (Road Dynamic info)

- V2V (Inform)

S Surrounding Vehicles

- V2V (Get Info)

Scenario “Connected Automation”:• „Follow-Me“ function via connected

automation• Auto-park vehicle in emergency lane

Next in ADAS&ME

• EC Conference on Connected & Automated Driving• Exhibition stand @ Charlemagne building

• Contribution to Human Factors cluster

• ADAS&ME Use Cases Workshop – Stakeholders only @April 6th @ERTICO, Brussels

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@April 6th @ERTICO, Brussels• EC Conference side-event

• Target: Interactive prioritisation of ADAS&ME UC’s scenarios (MAMCA methodology)

• Follow us:• Twitter: @adasandme (https://twitter.com/adasandme)

• LinkedIn: ADAS&Me (https://www.linkedin.com/groups/11900306)

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Thank you for your attention

Source: Continental

(ADAS&ME, 2016)