Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6945819 | Microelectronics Reliability | 2018 | 13 Pages |
Abstract
We demonstrate the feasible implementation and integration of the framework by means of a mixed-critical automotive system demonstrator. This demonstrator enables various types of use-case scenarios, such as gesture recognition or indoor navigation, by employing the AURIX automotive processor from Infineon Technologies and the Xilinx Zynq platform. For instance, if a typical gesture recognition use-case is addressed, the framework is capable to provide high-quality depth images and 3D-point cloud data with nearly 100 FPS and introduces an average calculation error of only 0.08Â mm. Most importantly, a high level of flexibility in software and hardware is preserved in order to support other use-case scenarios at the same time.
Keywords
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Physical Sciences and Engineering
Computer Science
Hardware and Architecture
Authors
Norbert Druml, Christoph Ehrenhoefer, Walter Bell, Christian Gailer, Hannes Plank, Thomas Herndl, Gerald Holweg,