Title:	Comparison of different sensors and localization methods suitable for autonomous robotic platform used in the field of ADAS testing
Authors:	Lufinka, Ondřej Kadeřábek, Jan Prstek, Juraj Skála, Jiří Kosturik, Kamil
Citation:	LUFINKA, O. KADEŘÁBEK, J. PRSTEK, J. SKÁLA, J. KOSTURIK, K. Comparison of different sensors and localization methods suitable for autonomous robotic platform used in the field of ADAS testing. In 2021 29th Telecommunications Forum (TELFOR) : Proceedings. Piscataway: IEEE, 2021. s. 1-4. ISBN: 978-1-66542-584-1
Issue Date:	2021
Publisher:	IEEE
Document type:	konferenční příspěvek ConferenceObject
URI:	2-s2.0-85124610436 http://hdl.handle.net/11025/47088
ISBN:	978-1-66542-584-1
Keywords in different language:	ADAS systems;autonomous robotic platform;embedded systems;GPS;IMU;Kalman filter;localization;mouse camera;odometry;ultrasonic positioning
Abstract in different language:	This paper deals with sensors and localization methods suitable for Autonomous Robotic Platform (ARP). Such a platform is used for ADAS (Advanced Driver Assistance Systems) testing in automotive. At the beginning, the paper gives an introduction to the project and then it focuses on its key aspect that is the comparison of different solutions for localization of these platforms. Various sensors are compared with a reference position and the results are discussed in the conclusion.
Rights:	Plný text je přístupný v rámci univerzity přihlášeným uživatelům. © IEEE
Appears in Collections:	Konferenční příspěvky / Conference Papers (KEI) Konferenční příspěvky / Conference papers (RICE) OBD

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