Radar Detection Rate Comparison Through a Mobile Robot Platform at the ZalaZONE Proving Ground

Victor Exposito Jimenez, Christian Schwarz, Szilard Jovai

    Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

    Abstract

    Since an automotive driving vehicle is controlled by Advanced Driver-Assistance Systems (ADAS)/Automated Driving (AD) functions, the selected sensors for the perception process become a key component of the system. Therefore, the necessity of ensuring precise data is crucial. But the correctness of the data is not the only part that has to be ensured, the limitations of the different technologies to accurately sense the reality must be checked for an error-free decision making according to the current scenario. In this context, this publication presents a comparison between two different automotive radars through our self-developed robot mobile platform called SPIDER, and how they can detect different kinds of objects in the tests carried out at the ZalaZONE proving ground.

    Original languageEnglish
    Title of host publication2020 5th International Conference on Robotics and Automation Engineering, ICRAE 2020
    Pages19-23
    Number of pages5
    ISBN (Electronic)978-1-7281-8981-9
    DOIs
    Publication statusPublished - 20 Nov 2020
    Event5th IEEE International Conference on Robotics and Automation : ICRAE 2020 - Virtual, Singapore, Singapore
    Duration: 20 Nov 202022 Nov 2020
    http://www.icrae.org/

    Publication series

    Name2020 5th International Conference on Robotics and Automation Engineering, ICRAE 2020

    Conference

    Conference5th IEEE International Conference on Robotics and Automation
    Abbreviated titleICRAE 2020
    Country/TerritorySingapore
    CityVirtual, Singapore
    Period20/11/2022/11/20
    Internet address

    Keywords

    • Automated Driving
    • Hardware-in-Loop
    • Proving Ground
    • Radar
    • Robotics
    • ROS

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Mechanical Engineering
    • Control and Optimization
    • Control and Systems Engineering

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