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 language | English |
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Title of host publication | 2020 5th International Conference on Robotics and Automation Engineering, ICRAE 2020 |
Pages | 19-23 |
Number of pages | 5 |
ISBN (Electronic) | 978-1-7281-8981-9 |
DOIs | |
Publication status | Published - 20 Nov 2020 |
Event | 5th IEEE International Conference on Robotics and Automation : ICRAE 2020 - Virtual, Singapore, Singapore Duration: 20 Nov 2020 → 22 Nov 2020 http://www.icrae.org/ |
Publication series
Name | 2020 5th International Conference on Robotics and Automation Engineering, ICRAE 2020 |
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Conference
Conference | 5th IEEE International Conference on Robotics and Automation |
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Abbreviated title | ICRAE 2020 |
Country/Territory | Singapore |
City | Virtual, Singapore |
Period | 20/11/20 → 22/11/20 |
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