The document summarizes the ADAS&ME project which aims to develop advanced driver assistance systems that can automatically transfer control between the vehicle and driver based on the driver's state and environmental context. The project has a budget of 9.5 million euros over 42 months and involves companies and research institutions developing technologies like high-definition maps, vehicle connectivity, and systems for monitoring driver state and handling non-reactive drivers. Several use cases are outlined focusing on commercial vehicles and motorcycles, with scenarios presented for smooth transitions between automated and manual driving and handling emergencies if the driver does not respond.

1. ADAS&ME
ADAPTIVEADAS 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, 2017
Diamant, Brussels
Stella Nikolaou CERTH/HIT
snikol@certh.gr

2. 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)

3. Automation: User Acceptance
Users’ 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

4. 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

5. ADAS&ME Consortium
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6. Kick-Off Meeting – September 8-9, 2016
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7. High Level Architecture
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8. 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).

9. 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)

10. Scenarios: Use case C
Driver state-based smooth & safe automation transitions (DLR)
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11. ICT technologies
HD 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.

12. ICT technologies
TomTom Research Platform for Lane Navigation
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13. 13
Transition SAE0 -> SAE3 due
to critical event
ICT technologies
V2X (DENSO)
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14. 14
Automated driving at SAE3
ICT technologies
V2X (DENSO)
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15. 15
Transition SAE3 -> SAE0 due
to system limitation
ICT technologies
V2X (DENSO)
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16. Scenarios: Use Case D
Non-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 Info
B
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

17. 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)

18. SCOUT Workshop Brussels February 22, 2017 18
Thank you for your attention
Source: Continental
(ADAS&ME, 2016)