cREAtIve: Reconfigurable Embedded Artificial Intelligence Invited Paper

Poona Bahrebar,Leon Denis,Maxim Bonnaerens, Kristof Coddens,Joni Dambre, Wouter Favoreel,Illia Khvastunov,Adrian Munteanu,Hung Nguyen-Duc,Stefan Schulte,Dirk Stroobandt, Ramses Valvekens, Nick Van den Broeck, Geert Verbruggen

Computing Frontiers Conference(2021)

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摘要
cREAtIve targets the development of novel highly-adaptable embedded deep learning solutions for automotive and traffic monitoring applications, including position sensor processing, scene interpretation based on LiDAR, and object detection and classification in thermal images for traffic camera systems. These applications share the need for deep learning solutions tailored for deployment on embedded devices with limited resources and featuring high adaptability and robustness to changing environmental conditions. cREAtIve develops knowledge, tools and methods that enable hardware-efficient, adaptable, and robust deep learning.
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关键词
Deep learning, Automotive and traffic monitoring, Object detection and classification, Embedded devices, Position sensors, Point cloud processing, Reconfiguration, Robustness
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