VIVID

  • Funding:

    German Federal Ministry of Education and Research (BMBF)

  • Project partner:

    Technische Universität Ilmenau

    Continental AG/ADC GmbH
    Mercedes Benz MTC
    AVL Deutschland GmbH

    Blickfeld GmbH

    DLR Institute of Transportation Systems

    IPG Automotive GmbH

    Technische Universität Darmstadt

    University of Applied Science, Kempten

    Toyota Motor Corp.
    Honda
    Nissan
    Nihon Unisys  Ltd.
    SOKEN Inc.
    Mitsubishi Precision Company Ltd.
    SOLIZE Engineering Corp.
    Sony Semiconductor Solutions Corp.
    Hitachi Automotive Systems Ltd.
    DENSO Corp.
    PIONEER Corp.
    Kanagawa Institute of Technology
    Deloitte

  • Start:

    October  2020

  • End:

    December 2023

  • Contact:

    Dr.-Ing. Mario Pauli

    M.Sc. Sevda Abadpour

Virtual Validation Tool Chain for Auto-mated and Connected Driving

This project for the collaborative academic-industrial research project VIVID originates from a number of expert workshops on connected and automated driving and connects to previous research activities within the ELEVATE funding call (“Elektroniksysteme für das vollautomatisierte Fahren”) in which the IHE was successfully involved.

The research area “Validation, modelling, and simulation” has been identified as one of four topical areas of the Japanese-German research cooperation on connected and automated driving. In order to maximize synergy and sustainability of these bi-national research efforts, VIVID has been laid out as a twin project to the Japanese R&D project DIVPTM, located in the same research area. The coordinated German-Japanese research planning has led to the joint R&D framework VIVID – German Japan Joint Virtual Validation Methodology for Intelligent Driving Systems.

Connected and automated driving challenges the testing of the interdependent operational driving, electronic sensing, and communication functions, foremost radar, lidar, and camera. The exploding number of safety requirements necessitates reliable and efficient validation and homologation methods for highly automated driving at levels L3…L5. Hence, the key objective of both VIVID twin projects is the design and implementation of a virtual validation tool chain, reaching from SiL- to OTA/ViL- methods, connecting software-based traffic and sensor simulations with propagation modeling and over-the-air hardware-in-the-loop testing in virtual environment. A digital scenario-based test strategy built upon the physical principles of false positive and false negative responses is key to control the otherwise infinite test parameter space. The bi-national projects merge and significantly extend relevant knowledge from major cross-ministerial R&D efforts, yielding a holistic modular approach for future safety assurance.

Based on joint efforts, VIVID aims at establishing a testing tool chain, to evaluate “how safe is safe enough”, through the following research goals:

A. Scenario-based comparison of real and virtual drive tests, SW- and HW-based simulations including physical sensor, wave propagation, and environmental effects

B. Identification of critical areas like highways, tollgates, bridges, parking areas

C. Virtual V&V of installed-system performance of multi-sensor platforms (radar, lidar, camera) including advanced sensor models and co-simulation platforms

D. Open interfaces employing widely adopted software and data interfaces for a sensor technology and platform-agnostic sustainable use and routes towards global standardization.

Bild
Photo by Sevda Abadpour
Photo by Sevda Abadpour
Bild Sevda Abadpour
Photo by Sevda Abadpour

Publications


Analyzing the Movement of Motorcyclist’s Extremities based on its Angular Resolved RCS Measurement
Abadpour, S.; Schyr, C.; Pauli, M.; Klein, F.; Degen, R.; Siska, J.; Pohl, N.; Zwick, T.
2023. 20th European Radar Conference (EuRAD), Berlin, 20th - 22nd September 2023, 47 – 50, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/EuRAD58043.2023.10289556
Dielectric Material Characterization of Traffic Objects in Automotive Radar Applications
Abadpour, S.; Pauli, M.; Kretschmann, M.; Iqbal, H.; Aust, P.; Zwick, T.
2023. 2023 17th European Conference on Antennas and Propagation (EuCAP), Florence, Italy, 26-31 March 2023, 1–5, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/EuCAP57121.2023.10133024
Angular Resolved RCS and Doppler Analysis of Human Body Parts in Motion
Abadpour, S.; Pauli, M.; Schyr, C.; Klein, F.; Degen, R.; Siska, J.; Siska, J.; Pohl, N.; Zwick, T.
2023. IEEE Transactions on Microwave Theory and Techniques, 71 (4), 1761–1771. doi:10.1109/TMTT.2022.3218304
Backscattering Behavior of Vulnerable Road Users Based on High-Resolution RCS Measurements
Abadpour, S.; Marahrens, S.; Pauli, M.; Siska, J.; Pohl, N.; Zwick, T.
2021. IEEE Transactions on Microwave Theory and Techniques, 70 (3), 1582–1593. doi:10.1109/TMTT.2021.3131156
RCS Measurements for the Implementation in Radar Target Simulators
Pauli, M.; Abadpour, S.; Diewald, A.; Zwick, T.
2021. 2021 International Conference on Electromagnetics in Advanced Applications (ICEAA): August 9-13, 2021, Honolulu, Hawaii, USA, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICEAA52647.2021.9539849
Back Scattering of Traffic Participants Based on an Automotive Radar Measurement
Abadpour, S.; Diewald, A.; Marahrens, S.; Pauli, M.; Zwick, T.
2021. 17th European Radar Conference (EuRAD), Utrecht, 10th-15th January 2021, 99–102, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/EuRAD48048.2021.00036
Extraction of Scattering Centers Using a Greedy Algorithm for Traffic Participants
Abadpour, S.; Diewald, A.; Nuss, B.; Pauli, M.; Zwick, T.
2020. 2020 14th European Conference on Antennas and Propagation (EuCAP), 1–5, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/EuCAP48036.2020.9135316