Highly automated vehicles for intelligent transport: HAVEit approach R Hoeger, A Amditis, M Kunert, A Hoess, F Flemisch, HP Krueger, ... ITS World Congress, NY, USA, 2008 | 112 | 2008 |
Prystine-programmable systems for intelligence in automobiles N Druml, G Macher, M Stolz, E Armengaud, D Watzenig, C Steger, ... 2018 21st Euromicro Conference on Digital System Design (DSD), 618-626, 2018 | 36 | 2018 |
Auto-adjust vehicle headrest G Truckenbrodt, A Höss US Patent 7,967,377, 2011 | 27 | 2011 |
Analysing communication requirements for crowd sourced backend generation of HD Maps used in automated driving F Jomrich, J Schmid, S Knapp, A Höß, R Steinmetz, B Schuller 2018 IEEE Vehicular Networking Conference (VNC), 1-8, 2018 | 26 | 2018 |
Longitudinal autonomous vehicle control utilizing access to electronic throttle control, automatic transmission and brakes A Hoess, W Hosp, R Doerfler, H Rauner SAE transactions, 1405-1411, 1996 | 19 | 1996 |
A survey on client throughput prediction algorithms in wired and wireless networks J Schmid, A Höss, BW Schuller ACM Computing Surveys (CSUR) 54 (9), 1-33, 2021 | 15 | 2021 |
Radar device with reduced power emission A Hoess US Patent 5,748,141, 1998 | 15 | 1998 |
A comparison of AI-based throughput prediction for cellular vehicle-to-server communication J Schmid, M Schneider, A Höß, B Schuller 2019 15th International Wireless Communications & Mobile Computing …, 2019 | 12 | 2019 |
Multistatic 77GHz radar network for automotive applications A Hoess ITS World Congress 2003, Nov. 2003, 2003 | 12 | 2003 |
Passive monitoring and geo-based prediction of mobile network vehicle-to-server communication J Schmid, P Heß, A Höß, BW Schuller 2018 14th International Wireless Communications & Mobile Computing …, 2018 | 11 | 2018 |
Realisation of an intelligent cruise control system utilizing classification of distance, relative speed and vehicle speed information A Hoess Proceedings of the Intelligent Vehicles' 94 Symposium, 7-12, 1994 | 11 | 1994 |
The future of driving–haveit (final report, deliverable d61. 1) R Hoeger, H Zeng, A Hoess, T Kranz, S Boverie, M Strauss, E Jakobsson, ... Regensburg, Germany: Continental Automotive GmbH, 2011 | 10 | 2011 |
Programmable systems for intelligence in automobiles (PRYSTINE): Final results after Year 3 N Druml, A Ryabokon, R Schorn, J Koszescha, K Ozols, A Levinskis, ... 2021 24th Euromicro Conference on Digital System Design (DSD), 268-277, 2021 | 9 | 2021 |
Emc2 a platform project on embedded microcontrollers in applications of mobility, industry and the internet of things W Weber, A Hoess, F Oppenheimer, B Koppenhöefer, B Vissers, ... 2015 Euromicro Conference on Digital System Design, 125-130, 2015 | 8 | 2015 |
A semi-automated multi-sensor data labeling process for deep learning in automotive radar environment D Scharf, S Saadani, M Schneider, A Höß 2022 International Conference on Electrical, Computer, Communications and …, 2022 | 6 | 2022 |
HAVEit Deliverable D61. 1 R Hoeger, H Zeng, A Hoess, T Kranz, S Boverie, M Strauss, E Jakobsson, ... Final Report, 2011 | 6 | 2011 |
Multifunctional automotive radar network A Hoess European Conference on Intelligent Road Vehicles, Clermont-Ferrand, France …, 2001 | 6 | 2001 |
System requirements specification for unmanned aerial vehicle (UAV) to server communication P Purucker, J Schmid, A Höß, BW Schuller 2021 International Conference on Unmanned Aircraft Systems (ICUAS), 1499-1508, 2021 | 5 | 2021 |
HAVEit-The future of driving R Hoeger, Z Zeng, A Hoess Final Report, Continental Automotive GmbH and partners, URL: http://haveit …, 2011 | 5 | 2011 |
ECBA-MLI: Edge computing benchmark architecture for machine learning inference M Schneider, R Prokscha, S Saadani, A Höß 2022 IEEE International Conference on Edge Computing and Communications …, 2022 | 4 | 2022 |