ADDRESSING THE CHALLENGES
OF HIGH AUTOMATION

“Extending today’s limited ODD will have
a tremendous impact on the future of automation”

Aria Etemad, Hi-Drive coordinator
Deployment ecosystem, the collaboration platform for cross-sector alliances and strategic liaison

Objectives

  • Further extend the “Code of Practice for development of Automated Driving Functions”.
  • Develop a “Code of Practice for road tests” on EU-wide harmonized admission procedures for CAD testing on public roads.
  • Support European global transport governance for high level automated driving.
  • Arrange a systematic stakeholder engagement process and community building to enhance the exploitability of the project results and ensure the interoperability of the CAD systems.
  • Liaise with projects relevant to the Hi-Drive project and coordinate the international cooperation in agreement with the European Commission as well as the third country partner organisations.
Technology enablers for CAD vehicles to operate in defragmented ODDs

Objectives

  • Work on robust and resilient CAD systems and on CAD cooperative situation awareness: networking among vehicles, other road actors, digital road infrastructure and backbone services.
  • Address ODDs edge cases, where vehicle sensors cannot detect the driving situation and a take-over request is needed.
  • Address V2X communication white spots by using hybrid and technology neutral communication for enabling robust V2X – V2V, V2I, V2P/VRUs, V2N – for CAD functions.
  • Address the quality of data: their content, accessibility and trustworthiness.
  • Achieve resilience to cyberthreats.
Define and build up high automation fleet - passenger cars and trucks

Objectives

  • Assess the current technological capabilities of the vehicles and integrate CAD enablers to answer the research questions.
  • Define a set of use cases based on the identified vehicles functions and capabilities, including the description of the AD function, the enablers and their ODDs.
  • Carry out pre-tests to ensure the end-to-end process works in preparation for the main test operations in SP Operations.
Extended methodology for testing high automation across Europe – from single user and vehicle level to transport system level

Objectives

  • Specify research questions and how they will be addressed across Hi-Drive:
    • For all enablers, automated driving functions and use cases of high-level automation
    • For both users and effects evaluation, and related data needs
  • Agree on common data formats for provision of different datasets and on experimental procedures for testing and evaluating highly automated systems.
  • Build a multidisciplinary evaluation methodology and refine state-of-the-art methods:
    • To address user and human factors aspects
    • To facilitate understanding of possible effects on the transport system level, addressing travel behaviour, safety, efficiency and emissions
Testing performance and reliability of ADFs for extending and defragmenting ODDs

Objectives

  • Design data engineering tools and database structures to manage and process data from the experiments.
  • Collect data during the tests and make this data available.
  • Each vehicle owner covers specific enablers, vehicles, use cases, test environments and partnerships.
  • On open roads, on tracks and supported by simulation focus on:
    • Technologies for CAD systems such as connectivity – V2V and V2I –, accurate positioning, digital infrastructure and cybersecurity
    • Challenging situations like cross-border corridors, edge and critical driving scenarios, and arctic low visibility conditions
Develop a firm understanding of the user when interacting with automated vehicles.

Objectives

  • Collect scenarios and extract edge cases from data and generate test-cases for evaluation of Hi-Drive CAD-functions.
  • Develop and operate a database of common scenarios and edge-case scenarios which can be utilized for uniform testing of automated driving.
  • Evaluate the technical performance of enablers for high-level automation with regards to their efficiency and support to automated driving as well as their capability to defragment or extend the related ODD.
  • Assess the impacts of high automation driving on safety, efficiency and mobility as inputs to determine the effects on the transport system and on socio-economic level.
  • Provide lessons learned from data evaluation on methodology and tooling for future automated driving development.
Assess the impacts of high automation up to transport system and socio-economic level.

Objectives

  • Collect scenarios and extract edge cases from data and generate test-cases for evaluation of Hi-Drive CAD-functions.
  • Develop and operate a database of common scenarios and edge-case scenarios which can be utilized for uniform testing of automated driving.
  • Evaluate the technical performance of enablers for high-level automation with regards to their efficiency and support to automated driving as well as their capability to defragment or extend the related ODD.
  • Assess the impacts of high automation driving on safety, efficiency and mobility as inputs to determine the effects on the transport system and on socio-economic level.
  • Provide lessons learned from data evaluation on methodology and tooling for future automated driving development.
Advocate deployment of high automation in Europe and beyond.

Objectives

International visibility

  • Advocate deployment of high automation in Europe and beyond.
  • Demonstrate leading role of European research and industry in high automation.
  • Reach the targeted audiences at high-level events.

User acceptance

  • Guide user expectations and promote awareness.
  • Organize user education & training campaign: hands-on training curriculum at five training sites across EU.

Viable business strategies

  • Assess the market potential of high automation and prepare the ground for future operating models of Connected Automated Mobility (CAM) systems and solutions.

Industry standards

  • Map, investigate and feedback information for technology standards.
  • Influence international standardization activities, particularly from European perspectives.

Project Facts

Budget

60 Million Euro

CONSORTIUM

40 Partners
OEMs, automotive suppliers, research institutes, associations, traffic engineering, deployment organisations and mobility clubs.

Funding

30 Million Euro
From the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101006664.

Involvement

14 Countries
Belgium, France, Finland, Germany, Greece, Hungary, Italy, Israel, Netherlands, Norway, Spain, Sweden, Switzerland, United Kingdom

Timeline

48 Months
Starting July 2021

Partners

Project coordinator

Aria Etemad
Volkswagen Group Innovation
Berliner Ring 2
38440 Wolfsburg
aria.etemad@volkswagen.de

Dissemination Manager

Philippe Stehlik
EICT GmbH
EUREF-Campus, Haus 13
Torgauer Str. 12-15
10829 Berlin
philippe.stehlik@eict.de

Privacy policy

This website uses Matomo to analyze traffic and stores a cookie that helps us improve your user experience. The cookie is stored in your browser for 30 days. This data is processed only by us and is not shared with third parties. Please read our privacy policy for more information.

Decline Accept