Technical evaluation of the Carolo-Cup 2014 - A competition for self-driving miniature cars
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Year
: 2014DOI: 10.7873/DATE.2014.182
Keyword(s): SRAM chips,n biomedical electronics,n body sensor networks,n compressed sensing,n medical signal processing,n multiprocessing systems,n patient monitoring,n power aware computing,n 6T-SRAM,n 8T-SRAM,n eHealth compressed sensing-based applications,n eHealth monitoring systems,n energy consumption,n environment monitoring,n hybrid memory architecture,n leakage power,n sensor-based ultralow cost chips,n slow biomedical signals,n small memory par
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Technical evaluation of the Carolo-Cup 2014 - A competition for self-driving miniature cars
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contributor author | Zug, Sebastian | |
contributor author | Steup, Christoph | |
contributor author | Scholle, Julian-B. | |
contributor author | Berger, Christian | |
contributor author | Landsiedel, Olaf | |
contributor author | Schuldt, Fabian | |
contributor author | Rieken, Jens | |
contributor author | Matthaei, Richard | |
contributor author | Form, Thomas | |
date accessioned | 2020-03-12T21:40:20Z | |
date available | 2020-03-12T21:40:20Z | |
date issued | 2014 | |
identifier other | 6952991.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1056483 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Technical evaluation of the Carolo-Cup 2014 - A competition for self-driving miniature cars | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8187536 | |
subject keywords | SRAM chips | |
subject keywords | n biomedical electronics | |
subject keywords | n body sensor networks | |
subject keywords | n compressed sensing | |
subject keywords | n medical signal processing | |
subject keywords | n multiprocessing systems | |
subject keywords | n patient monitoring | |
subject keywords | n power aware computing | |
subject keywords | n 6T-SRAM | |
subject keywords | n 8T-SRAM | |
subject keywords | n eHealth compressed sensing-based applications | |
subject keywords | n eHealth monitoring systems | |
subject keywords | n energy consumption | |
subject keywords | n environment monitoring | |
subject keywords | n hybrid memory architecture | |
subject keywords | n leakage power | |
subject keywords | n sensor-based ultralow cost chips | |
subject keywords | n slow biomedical signals | |
subject keywords | n small memory par | |
identifier doi | 10.7873/DATE.2014.182 | |
journal title | obotic and Sensors Environments (ROSE), 2014 IEEE International Symposium on | |
filesize | 1499430 | |
citations | 1 |