Real-Time Driver Monitoring: Implementing FPGA-Accelerated CNNs for Pose Detection

As autonomous driving technology advances at an unprecedented pace, drivers are experiencing greater freedom within their vehicles, which accelerates the development of various intelligent systems to support safe and more efficient driving. These intelligent systems provide interactive applications...

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Veröffentlicht in:	IEEE transactions on very large scale integration (VLSI) systems Jg. 33; H. 7; S. 1848 - 1857
Hauptverfasser:	Kim, Minjoon, So, Jaehyuk
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Artificial neural networks Computer architecture Convolutional neural network (CNN) Convolutional neural networks Delay time Driver behavior driver behavior analysis (DBA) Ethernet Field programmable gate arrays field-programmable gate array (FPGA) implementation Frames Hardware acceleration Image processing In vehicle Intelligent systems Interactive systems Monitoring Network latency Neural networks Pose estimation Process cameras Real time Real-time systems Vehicles VLSI design
ISSN:	1063-8210, 1557-9999
Online-Zugang:	Volltext
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