Design of a low-level radar and time-of-flight sensor fusion framework

Josef Steinbaeck, Christian Steger, Gerald Holweg, Norbert Druml

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband


We present an open hardware and software platform to efficiently fuse heterogeneous sensor data in an automotive/robotic context. The framework presented in this paper provides researchers a base platform in order to develop and evaluate sensor fusion strategies. In contrast to similar approaches, this framework exploits in particular the raw radar data and enables the fusion at low-level. The proposed system utilizes low-level data from radar sensors as well as indirect (e.g. 3D imaging) and direct (e.g. LIDAR) Time-of-Flight (ToF) sensors. After a configurable amount of pre-processing at sensor-level, the sensor data is transferred to a centralized platform and aligned temporally and spatially. We demonstrate the transformation of radar data into the 3D coordinate system in order to fuse it with point cloud data from ToF sensors. Due to the modular structure of the framework, it also enables the exploration of various system partitioning concepts.

TitelProceedings - 21st Euromicro Conference on Digital System Design, DSD 2018
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers
ISBN (elektronisch)9781538673768
PublikationsstatusVeröffentlicht - 12 Okt 2018
Veranstaltung21st Euromicro Conference on Digital System Design - Prague, Tschechische Republik
Dauer: 29 Aug 201831 Aug 2018


Konferenz21st Euromicro Conference on Digital System Design
KurztitelDSD 2018
LandTschechische Republik

ASJC Scopus subject areas

  • !!Hardware and Architecture

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