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
CountrySingapore
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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