Programmable processing for the autonomous / connected vehicle : From classical FPGA to adaptable computing Algorithms. Architecture. Realization.Test.
Erstveröffentlichung
2022-04-05Editor
Terzis, AnestisOther contributors
Schubert, EndricGüthoff, Mathias
Konferenzband
Institutions
THU.IKT Institut für KommunikationstechnikExternal cooperations
Missing Link ElectronicsXilinx
InnoSÜD
Publisher
Ulm : Technische Hochschule Ulm
ISBN
978-3-9820843-2-9
Conference
4th Workshop Programmable Processing for the Autonomus / Connected Vehicle, 2020-09-24, Ulm
Abstract
The proceedings on “Programmable Processing for the Autonomous / Connected Vehicle” contains the contributions of the 4th workshop on this topic. The most recent achievements in the fields of processing technologies, digital systems design, challenges and applications for the Autonomous and Connected Vehicle are addressed. The covered topics are an active area of research and development in both academia and industry and includes FPGA and SoC design aspects for functional safety, Gbps gateways, ADAS image signal processing, ADAS/AD system architectures, AI-core, AI-Engine Architecture, design flow, neural networks for gesture recognition, HW-aware perception of neural networks and automotive security and the corresponding standards.
Subject headings
[GND]: Neuronales Netz | Autonomes Fahrzeug[Free subject headings]: Programmable Processing | MPSoC FPGA | Neural Networks
[DDC subject group]: DDC 600 / Technology (Applied sciences)
Metadata
Show full item recordDOI & citation
Please use this identifier to cite or link to this item: http://dx.doi.org/10.18725/OPARU-42776
Terzis, Anestis; Schubert, Endric; Güthoff, Mathias (2022): Programmable processing for the autonomous / connected vehicle : From classical FPGA to adaptable computing Algorithms. Architecture. Realization.Test.. Open Access Repositorium der Universität Ulm und Technischen Hochschule Ulm. http://dx.doi.org/10.18725/OPARU-42776
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