Jörg Fickenscher



Organisationseinheit


Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)


Mitarbeit in Forschungsprojekten


INI.FAU: Parallelisierung und Ressourcenabschätzung von Algorithmen für heterogene FAS-Architekturen
Dr.-Ing. Frank Hannig; Prof. Dr.-Ing. Jürgen Teich
(01.05.2015 - 31.10.2018)


Publikationen (Download BibTeX)


Fickenscher, J., Hannig, F., Teich, J., & Bouzouraa, M.E. (2018). Base Algorithms of Environment Maps and Efficient Occupancy Grid Mapping on Embedded GPUs. (pp. 298-306). Funchal, Madeira, Portugal, PT: SCITEPRESS.
Fickenscher, J., Schlumberger, J., Hannig, F., Bouzouraa, M.E., & Teich, J. (2018). Cell-based Update Algorithm for Occupancy Grid Maps and new Hybrid Map for ADAS on Embedded GPUs. In IEEE (Eds.), (pp. 443-448). Dresden, Germany, DE: IEEE.
Fickenscher, J., Hannig, F., Bouzouraa, M.E., & Teich, J. (2018). Embedded GPUs in Future Automated Cars. Dresden, DE.
Fickenscher, J., Reinhart, S., Bouzouraa, M.E., Hannig, F., & Teich, J. (2017). Convoy Tracking for ADAS on Embedded GPUs. In IEEE (Eds.), (pp. 959-965). Redondo Beach, CA, USA: IEEE.
Fickenscher, J., Bouzouraa, M.E., Hannig, F., & Teich, J. (2017, December). Environment Mapping Using Massively Parallel Architectures. Poster presentation at Vehicle Intelligence, München, DE.
Fickenscher, J., Reiche, O., Schlumberger, J., Hannig, F., & Teich, J. (2016). Modeling, Programming and Performance Analysis of Automotive Environment Map Representations on Embedded GPUs. In Proceedings of the 18th IEEE International High-Level Design Validation and Test Workshop (HLDVT) (pp. 70-77). Santa Cruz, CA, US.

Zuletzt aktualisiert 2016-23-10 um 03:49