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ADAS&ME Presentation - H2020 ERTRAC

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ADAS&ME EU funded project presentation that took place in Brussels during H2020 ERTRAC event - 29 Nov 2018

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ADAS&ME Presentation - H2020 ERTRAC

  1. 1. ADAPTIVE ADAS TO SUPPORT INCAPACITATED DRIVERS MITIGATE EFFECTIVELY RISKS THROUGH TAILOR MADE HMI UNDER AUTOMATION This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 688900 Dr. Anna Anund Coordinator ADAS&ME
  2. 2. ADAS&ME VISION 28/11/18 3 Develop Advanced Driver Assistance Systems (ADAS) that incorporate driver/rider state, situational/environmental context and adaptive interaction, to 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) ADAS&ME VISION
  3. 3. PROJECT CONSORTIUM 4 Multi-disciplinary project 30 partners + 2 new 3rd party Total Budget - 9.6 MEuro EU contribution - 9.0 MEuro 28/112/18 PROJECT CONSORTIUM
  4. 4. ADAS&ME IMPACT 528/11/18 Objectives & Status • An adaptive architecture and technical implementation for enabling automation with driver/rider state input. • Development of robust detection/prediction algorithms for driver/rider state monitoring adaptive to each of the seven UC. • Development of multimodal adaptive HMI and personalised driver/rider behaviour profiles, considering inter-individual differences and environmental context. • Performance of targeted tests for the selection of HMI elements that optimally support each UC. • Adaptation of existing EuroNCAP test protocols from non-automated to automated driving modes. • Evaluation of the developed systems and use cases with a wide pool of drivers/riders with real vehicles on real roads. • ADAS&ME Adaptive System Architecture developed (D2.1). • Data collection for all targeted driver states performed (A4.2/ A4.3/ A7.2). Algorithms development is almost ready. • HMI Framework ready & first prototypes in progress (A5.1/ A5.2). Ident./person. module design ready, implementation in progress (A4.6/ A5.3). ESAS components ready (D3.1/D3.3). • HMI optimization tests almost ready. • Final evaluation scenarios drafted and tests planned. Tests planned in 2019. • Final evaluation timing per UC ready. Tests planned in 2019.     …. ….
  5. 5. FOCUS ON SEVEN USE CASES 6 ATTENTIVE LONG HAUL TRUCKING ELECTRIC VEHICLE RANGE ANXIETY DRIVER STATE- BASED SMOOTH & SAFE AUTOMATION TRANSITIONS (CAR) NON-REACTING DRIVER EMERGENCY MANOEUVRE (CAR) LONG RANGE ATTENTIVE TOURING WITH MOTORBIKE RIDER FAINT PASSENGER PICK UP/DROP OFF AUTOMATION FOR BUSES 28/11/18 FOCUS ON SEVEN USE CASES
  6. 6. 728/11/18 UCA – Attentive long haul trucking
  7. 7. 828/11/18 UCB – Electrical Vehicle Range Anxiety
  8. 8. 928/11/18 UCC/D – Driver state based smooth/ safe transition and None reacting driver emergency stop
  9. 9. 1028/11/18 UCE/F – Long range attentive touring/ rider faint
  10. 10. 1128/11/18 UCG – Automated docking at bus stop
  11. 11. ENVIRONMENTAL CONTEXT MONITORIN 12 HD Map geometry Traffic flow Weather Vehicle sensing 28/11/18 ENVIRONMENTAL CONTEXT MONITORING – A3.1 analysed broader changes in the surroundings Result: Driving task intensity indicator for road ahead – A3.2 focused on local sensing Result: Probabilistic positioning estimation and extended sensor perception via connectivity – A3.3 interprets the situation Result: Utilizing results of A3.1 and A3.2, assesses the situation to derive situation criticality A3.2 / D3.1 & D3.3 A3.3 / D3.2 & D3.4 A3.1 / D3.1 & D3.3
  12. 12. DRIVER/RIDER STATE MONITORING 13  Fatigue, Sleepiness, Stress, Inattention, Anxiety, Fear, Thermal fatigue and Faint.  Algorithms based on existing data, with complementary data collections - (Stage I and Stage II)  Personalisation: driver identification module and personalised HMI 28/11/18 Long haul trucking - Rest Indicators – driver state Messages and middlewareAutomated docking at bus stop – inattention/ sleepiness Driver state based smooth and safe transition – stress, distraction and emotion DRIVER/RIDER STATE MONITORING
  13. 13. HUMAN-MACHINE INTERACTION FAMEWORK 14 • Generic framework for HMI – adaptive per UC • Iterative tests for each UC with VR and simulators 28/11/18 HUMAN-MACHINE INTERACTION FRAMEWORK
  14. 14. 15  Final evaluations and demonstration in Barcelona – Public deliverable with all tests and their design and protocols. Caption: 0-General Road 1-High speed Track 2- Noise Track 3-Fatigue Track/Comfort Track 4-Dynamic Platform A 5-Dry Handling Circuit/ Dynamic Platform C 6-Test Hills 7-Straight Line Braking Surfaces/ Comfort Track and SIM city 8-Dynamic Platform B 9-Off road/Forest Track 10-Wet Circle 11-Wet Handling Circuit 28/11/18 TESTING AND EVALUATIONSTESTING AND EVALUATIONS UC M36 M37 M38 M39 W1 W2 W3 W4 W1 W2 W3 W4 W1 W2 W3 W4 W1 W2 W3 W4 A B C&D E&F G
  15. 15. ADAS&ME IMPACT 16 • 3 areas of impact  Safety, Mobility and Environment  Economic and social  Legal and Regulatory • Based on data from evaluation and market analysis 28/11/18 IMPACT
  16. 16. DISSEMINATION ACHIEVEMENTS 1826/11/18 ADAS&ME has organized international workshops and has participated in key events around the world: More than 10 papers has been published and a number of demonstrations have been developed…
  17. 17. 18 www.adasandme.com @adasandmeNewsletter 28/02/18 DISSEMINATION CHANNELS

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