Grenzenlos wissen Von der Region in die Welt. Automatisierung von Fahrzeugen

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1 3. Wissenschaftstag der Europäischen Metropolregion Nürnberg Di, 26. Mai 2009 Hochschule Amberg-Weiden, ACC Grenzenlos wissen Von der Region in die Welt Automatisierung von Fahrzeugen Das EU-Forschungsprojekt HAVEit: Highly Automated Vehicles for Intelligent Transport

2 Motivation Intention: Safety enhancement by highly automated driving Key objectives: 1) Highly automated vehicle applications based on: 2) Joint system driver co-system and: 3) Safe vehicle architecture 2

3 Objective 3: Safe vehicle architecture Lane Keeping Combi tire guard Display ACC Navi / E-Horizon HVAC Radio Immobilizer AutoPark Access Doors/Roof MP3 / ipod Pedal Pedal Steering Wheel Phone Passive safety Hybrid Controller EMS Transmission EWB ABS ESP Power Steering Suspension DC / DC WU WU WU WU 3

4 Objective 2: Joint system driver co-system different automation levels (driver only / assisted / semi-automated / highly automated / safe state) driver state assessment (drowsiness and attentiveness by direct and indirect driver monitoring) mode selection and arbitration unit (MSU) to optimize overall performance by choosing the most appropriate automation level Upgrading transitions Driver Performance Need for assistance Manual Driving Human leading Assisted (Manual driving with automation support) Semiautomated Driving System leading Highly Initiated automated automated driving with driving driver support Autonomous Underload Vigilance drowsiness Activation Overload Multiple task Danger Downgrading transitions 4

5 Objective 1: Highly automated vehicle applications HAVEit will lead to 7 demonstrators Safe vehicle architecture applications Joint system demonstrator (DLR, rapid prototype vehicle, use in restricted environment) Brake-by-wire truck (Haldex/Volvo, for the first time: use on public roads) Architecture migration demonstrator (Continental) Highly automated functions (use on public roads) Automated assistance in roadworks and congestion (Continental) Automated queue assistance (Volvo) Temporary auto-pilot (VW) Active green driving (Volvo) 5

6 Objectives 1-3: Resulting HAVEit structure Driver monitoring Driver C4 Sensor x Sensor y Datafusion C2X C1 Driver state assessment HMI MSU CoPilot automation level Command generation and plausiblization direct control (e.g. emergency brake) joint system C2 motion control vector C3 Drivetrain control Actuator x Actuator y Actuator z C1 Perception layer C2 Command layer C3 Execution layer C4 HMI layer 6

7 Automated assistance in roadworks and congestion Main purpose is a highly automated driver support in passenger cars at driver overload situations, in particular while driving in roadworks. Special challenges are changing speed limits, narrow lanes and curves with ambiguous lane markers, and other vehicles driving closely beside. The automated assistance will also work outside of road works, e.g. in heavy traffic. Environment monitoring Front Camera: 60m, ±20 Long & Mid Range Radar: 200m/60m, ±9 /±28 Short Range Radar: 8m, ±55 7

8 Side and rear radar network 8

9 Side and rear radar network UAM tasks: Radar signal processing Radar object tracking Fusion of the rear radar network Embedded programming on automotive VPU Status Short Range Radars in test vehicle integrated Visualization of radar data on PC 9

10 Front view Tracking and fusion results of a front radar network Detected objects and predicted lane are depicted in the sensor view 10

11 HAVEit consortium and key data Consortium (18 beneficiaries plus 5 third parties): Duration: February 01, 2008 July 31, 2011 Total cost: Budget 28 M Programme: EU FP7, ICT

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