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

Victor Exposito Jimenez; Christian Schwarz; Szilard Jovai

doi:10.1109/ICRAE50850.2020.9310861

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

Victor Exposito Jimenez, Christian Schwarz, Szilard Jovai

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

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.

Originalsprache	englisch
Titel	2020 5th International Conference on Robotics and Automation Engineering, ICRAE 2020
Seiten	19-23
Seitenumfang	5
ISBN (elektronisch)	978-1-7281-8981-9
DOIs	https://doi.org/10.1109/ICRAE50850.2020.9310861
Publikationsstatus	Veröffentlicht - 20 Nov. 2020
Veranstaltung	5th IEEE International Conference on Robotics and Automation : ICRAE 2020 - Virtual, Singapore, Singapur Dauer: 20 Nov. 2020 → 22 Nov. 2020 http://www.icrae.org/

Publikationsreihe

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

Konferenz

Konferenz	5th IEEE International Conference on Robotics and Automation
Kurztitel	ICRAE 2020
Land/Gebiet	Singapur
Ort	Virtual, Singapore
Zeitraum	20/11/20 → 22/11/20
Internetadresse	http://www.icrae.org/

ASJC Scopus subject areas

Artificial intelligence
Maschinenbau
Steuerung und Optimierung
Steuerungs- und Systemtechnik

Zugriff auf Dokument

10.1109/ICRAE50850.2020.9310861

Andere Dateien und Links

http://www.scopus.com/inward/record.url?scp=85100342289&partnerID=8YFLogxK

Dieses zitieren

Exposito Jimenez, V., Schwarz, C., & Jovai, S. (2020). Radar Detection Rate Comparison Through a Mobile Robot Platform at the ZalaZONE Proving Ground. in 2020 5th International Conference on Robotics and Automation Engineering, ICRAE 2020 (S. 19-23). Artikel 9310861 (2020 5th International Conference on Robotics and Automation Engineering, ICRAE 2020). https://doi.org/10.1109/ICRAE50850.2020.9310861

Radar Detection Rate Comparison Through a Mobile Robot Platform at the ZalaZONE Proving Ground. / Exposito Jimenez, Victor; Schwarz, Christian; Jovai, Szilard.
2020 5th International Conference on Robotics and Automation Engineering, ICRAE 2020. 2020. S. 19-23 9310861 (2020 5th International Conference on Robotics and Automation Engineering, ICRAE 2020).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Exposito Jimenez, V, Schwarz, C & Jovai, S 2020, Radar Detection Rate Comparison Through a Mobile Robot Platform at the ZalaZONE Proving Ground. in 2020 5th International Conference on Robotics and Automation Engineering, ICRAE 2020., 9310861, 2020 5th International Conference on Robotics and Automation Engineering, ICRAE 2020, S. 19-23, 5th IEEE International Conference on Robotics and Automation , Virtual, Singapore, Singapur, 20/11/20. https://doi.org/10.1109/ICRAE50850.2020.9310861

Exposito Jimenez V, Schwarz C, Jovai S. Radar Detection Rate Comparison Through a Mobile Robot Platform at the ZalaZONE Proving Ground. in 2020 5th International Conference on Robotics and Automation Engineering, ICRAE 2020. 2020. S. 19-23. 9310861. (2020 5th International Conference on Robotics and Automation Engineering, ICRAE 2020). doi: 10.1109/ICRAE50850.2020.9310861

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title = "Radar Detection Rate Comparison Through a Mobile Robot Platform at the ZalaZONE Proving Ground",

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.",

keywords = "Automated Driving, Hardware-in-Loop, Proving Ground, Radar, Robotics, ROS",

author = "{Exposito Jimenez}, Victor and Christian Schwarz and Szilard Jovai",

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doi = "10.1109/ICRAE50850.2020.9310861",

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N2 - 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.

AB - 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.

KW - Automated Driving

KW - Hardware-in-Loop

KW - Proving Ground

KW - Radar

KW - Robotics

KW - ROS

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

Abstract

Publikationsreihe

Konferenz

ASJC Scopus subject areas

Zugriff auf Dokument

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