Title :
Parallel video-based traffic sign recognition on the Intel SCC many-core platform
Author :
Borrmann, Jan Micha ; Viehl, Alexander ; Bringmann, Oliver ; Rosenstiel, Wolfgang
Author_Institution :
FZI Forschungszentrum Inf., Karlsruhe, Germany
Abstract :
This paper presents a demonstrator for a largely task-parallel implementation of an automotive Advanced-Driver-Assistance-System (ADAS). Targeting the Intel SCC1 [1] 48-core chip, we show the scalability of this application towards a configurable number of cores up to 25.
Keywords :
driver information systems; multiprocessing systems; video signal processing; ADAS; Intel SCC many-core platform; Intel SCC1 48-core chip; automotive advanced-driver-assistance-system; parallel video-based traffic sign recognition; Cameras; Computers; IP networks; Message passing; Pipelines; Tiles; Vehicles;
Conference_Titel :
Design and Architectures for Signal and Image Processing (DASIP), 2012 Conference on
Conference_Location :
Karlsruhe
Print_ISBN :
978-1-4673-2089-4
Electronic_ISBN :
978-2-9539987-4-0
