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Improved trustworthiness and weather-independence of conditional automated vehicles in mixed traffic scenarios

Improved trustworthiness and weather-independence of conditional automated vehicles in mixed traffic scenarios

Objective

Automated driving can be implemented with relatively simple controllers if the current location of the ego vehicle and the current and future locations of other road users are known without uncertainty. However, this is not going to happen in the initial stages of the introduction of automated driving systems into the market. As a consequence, system and human driver uncertainty pose a significant challenge in the development of trustable and fault-tolerant automated driving controllers, especially for conditional automation (SAE level 3) in mixed traffic scenarios. The TrustVehicle consortium brings together participants from the whole vehicle value chain to enhance safety and user-friendliness of level 3 automated driving systems. The main objectives are: (i) the systematic identification of critical road scenarios based on in-depth analysis of possible traffic situations and human behaviour; (ii) the setup of new tools for the cost- and time-effective assessment of driver-in/off-the-loop situations; (iii) design of controllers and sensor fusion systems capable of dealing with complex, uncertain and variable road scenarios to enhance road safety; (iv) the implementation of intuitive human-machine interfaces for the safe management of the transition phases taking into account user acceptance and gender-specific aspects; and (iv) the establishment of an adaptive and agile vehicle validation based on self-diagnostics and data logging to steadily extend the list of relevant scenarios and test cases. The outputs of the TrustVehicle project will be extensively assessed in real-world operating conditions on four demonstrators representing four vehicle classes. End users of the technology will systematically and thoroughly express their requirements, expectations, and concerns during the consortium activity. Special focus will be put on the demonstration of the fault-tolerant and fail-operational system behaviour at any time and for different kinds of weather conditions.

Coordinator

Kompetenzzentrum - Das Virtuelle Fahrzeug, Forschungsgesellschaft mbH

Address

Inffeldgasse 21 A
8010 Graz

Austria

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 390 000

Participants (11)

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VALEO VISION SAS

France

EU Contribution

€ 450 000

UNIVERSITY OF SURREY

United Kingdom

EU Contribution

€ 388 528,75

AVL LIST GMBH

Austria

EU Contribution

€ 427 325

INFINEON TECHNOLOGIES AUSTRIA AG

Austria

EU Contribution

€ 440 041,25

Teknologian tutkimuskeskus VTT Oy

Finland

EU Contribution

€ 400 133,75

FORD OTOMOTIV SANAYI ANONIM SIRKETI

Turkey

EU Contribution

€ 540 000

IDEAS & MOTION SRL

Italy

EU Contribution

€ 300 625

TOFAS TURK OTOMOBIL FABRIKASI ANONIM SIRKETI

Turkey

EU Contribution

€ 480 000

CISC SEMICONDUCTOR GMBH

Austria

EU Contribution

€ 315 000

LINKKER OY

Finland

EU Contribution

€ 380 000

VOLVO PERSONVAGNAR AB

Sweden

EU Contribution

€ 487 250

Project information

Grant agreement ID: 723324

Status

Ongoing project

  • Start date

    1 June 2017

  • End date

    31 May 2020

Funded under:

H2020-EU.3.4.

  • Overall budget:

    € 4 998 903,75

  • EU contribution

    € 4 998 903,75

Coordinated by:

Kompetenzzentrum - Das Virtuelle Fahrzeug, Forschungsgesellschaft mbH

Austria