@inproceedings{fed01839be3446768c4c3e3a6e79e323,
title = "An approach to self-learning multicore reconfiguration management applied on robotic vision",
abstract = "Robotic Vision combined with real-time control imposes challenging requirements on embedded computing nodes in robots, exhibiting strong variations in computational load due to dynamically changing activity profiles. Reconfigurable Multiprocessor System-on-Chip offers a solution by efficiently handling the robot's resources, but reconfiguration management seems challenging. The goal of this paper is to present first ideas on self-learning reconfiguration management for Reco nfigurable multicore computing nodes with dynamic reconfiguration of soft-core CPUs and HW accelerators, to support dynamically changing activity profiles in Robotic Vision scenarios.",
keywords = "Multicore, Reconfiguration, Robotic Vision",
author = "Walter Stechele and Jan Hartmann and Erik Maehle",
year = "2011",
doi = "10.1109/DASIP.2011.6136882",
language = "English",
isbn = "9781457706196",
series = "Conference on Design and Architectures for Signal and Image Processing, DASIP",
pages = "217--222",
booktitle = "Proceedings of the 2011 Conference on Design and Architectures for Signal and Image Processing, DASIP 2011",
note = "2011 Conference on Design and Architectures for Signal and Image Processing, DASIP 2011 ; Conference date: 02-11-2011 Through 04-11-2011",
}