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Advances in Automated Driving Systems

Author

Listed:
  • Arno Eichberger

    (Institute of Automotive Engineering, Graz University of Technology, 8010 Graz, Austria)

  • Zsolt Szalay

    (Department of Automotive Technologies, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economic, 1111 Budapest, Hungary)

  • Martin Fellendorf

    (Institute of Transport Planning and Traffic Engineering, Graz University of Technology, 8010 Graz, Austria)

  • Henry Liu

    (Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109, USA)

Abstract

Electrification, automation of vehicle control, digitalization and new mobility are the mega trends in automotive engineering and they are strongly connected to each other [...]

Suggested Citation

  • Arno Eichberger & Zsolt Szalay & Martin Fellendorf & Henry Liu, 2022. "Advances in Automated Driving Systems," Energies, MDPI, vol. 15(10), pages 1-5, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:10:p:3476-:d:812120
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    References listed on IDEAS

    as
    1. Demin Nalic & Aleksa Pandurevic & Arno Eichberger & Martin Fellendorf & Branko Rogic, 2021. "Software Framework for Testing of Automated Driving Systems in the Traffic Environment of Vissim," Energies, MDPI, vol. 14(11), pages 1-9, May.
    2. Björn Klamann & Hermann Winner, 2021. "Comparing Different Levels of Technical Systems for a Modular Safety Approval—Why the State of the Art Does Not Dispense with System Tests Yet," Energies, MDPI, vol. 14(22), pages 1-16, November.
    3. Sadegh Arefnezhad & Arno Eichberger & Matthias Frühwirth & Clemens Kaufmann & Maximilian Moser & Ioana Victoria Koglbauer, 2022. "Driver Monitoring of Automated Vehicles by Classification of Driver Drowsiness Using a Deep Convolutional Neural Network Trained by Scalograms of ECG Signals," Energies, MDPI, vol. 15(2), pages 1-25, January.
    4. Xuan Fang & Hexuan Li & Tamás Tettamanti & Arno Eichberger & Martin Fellendorf, 2022. "Effects of Automated Vehicle Models at the Mixed Traffic Situation on a Motorway Scenario," Energies, MDPI, vol. 15(6), pages 1-15, March.
    5. Philipp Clement & Omar Veledar & Clemens Könczöl & Herbert Danzinger & Markus Posch & Arno Eichberger & Georg Macher, 2022. "Enhancing Acceptance and Trust in Automated Driving trough Virtual Experience on a Driving Simulator," Energies, MDPI, vol. 15(3), pages 1-22, January.
    6. Szilárd Czibere & Ádám Domina & Ádám Bárdos & Zsolt Szalay, 2021. "Model Predictive Controller Design for Vehicle Motion Control at Handling Limits in Multiple Equilibria on Varying Road Surfaces," Energies, MDPI, vol. 14(20), pages 1-17, October.
    7. Viktor Tihanyi & András Rövid & Viktor Remeli & Zsolt Vincze & Mihály Csonthó & Zsombor Pethő & Mátyás Szalai & Balázs Varga & Aws Khalil & Zsolt Szalay, 2021. "Towards Cooperative Perception Services for ITS: Digital Twin in the Automotive Edge Cloud," Energies, MDPI, vol. 14(18), pages 1-26, September.
    8. Martin Holder & Lukas Elster & Hermann Winner, 2022. "Digitalize the Twin: A Method for Calibration of Reference Data for Transfer Real-World Test Drives into Simulation," Energies, MDPI, vol. 15(3), pages 1-16, January.
    9. Mohammad Junaid & Zsolt Szalay & Árpád Török, 2021. "Evaluation of Non-Classical Decision-Making Methods in Self Driving Cars: Pedestrian Detection Testing on Cluster of Images with Different Luminance Conditions," Energies, MDPI, vol. 14(21), pages 1-16, November.
    10. Jianfei Huang & Xinchun Cheng & Yuying Shen & Dewen Kong & Jixin Wang, 2021. "Deep Learning-Based Prediction of Throttle Value and State for Wheel Loaders," Energies, MDPI, vol. 14(21), pages 1-16, November.
    11. Sorin Liviu Jurj & Dominik Grundt & Tino Werner & Philipp Borchers & Karina Rothemann & Eike Möhlmann, 2021. "Increasing the Safety of Adaptive Cruise Control Using Physics-Guided Reinforcement Learning," Energies, MDPI, vol. 14(22), pages 1-19, November.
    12. Darko Babić & Dario Babić & Mario Fiolić & Željko Šarić, 2021. "Analysis of Market-Ready Traffic Sign Recognition Systems in Cars: A Test Field Study," Energies, MDPI, vol. 14(12), pages 1-10, June.
    Full references (including those not matched with items on IDEAS)

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