Arno Eichberger
Cited by
Cited by
Comparison of different car seats regarding head-neck kinematics of volunteers during rear end impact
A Eichberger, BC Geigl, A Moser, B Fachbach, H Steffan, W Hell, ...
Proc. IRCOBI Conf, 153-164, 1996
Pressure measurements in the spinal canal of post-mortem human subjects during rear-end impact and correlation of results to the neck injury criterion
A Eichberger, M Darok, H Steffan, PE Leinzinger, O Boström, ...
Accident Analysis & Prevention 32 (2), 251-260, 2000
Driver drowsiness detection based on steering wheel data applying adaptive neuro-fuzzy feature selection
S Arefnezhad, S Samiee, A Eichberger, A Nahvi
Sensors 19 (4), 943, 2019
Scenario based testing of automated driving systems: A literature survey
D Nalic, T Mihalj, M Bäumler, M Lehmann, A Eichberger, S Bernsteiner
FISITA web Congress 10, 1, 2020
Deflecting device for an offset frontal collision for motor vehicles
A Eichberger, F Hubmann, F Pernkopf, W Schimpl, S Winkler
US Patent 7,819,218, 2010
Robust road friction estimation during vehicle steering
L Shao, C Jin, C Lex, A Eichberger
Vehicle system dynamics 57 (4), 493-519, 2019
Prediction of neck injuries in rear impacts based on accident data and simulations
O Boström, M Krafft, B Aldman, A Eichberger, R Fredriksson, Y Haland, ...
International IRCOBI Conference on the Biomechanics of Impact, 251-264, 1997
Applying deep neural networks for multi-level classification of driver drowsiness using Vehicle-based measures
S Arefnezhad, S Samiee, A Eichberger, M Frühwirth, C Kaufmann, E Klotz
Expert Systems with Applications 162, 113778, 2020
Data fusion to develop a driver drowsiness detection system with robustness to signal loss
S Samiee, S Azadi, R Kazemi, A Nahvi, A Eichberger
Sensors 14 (9), 17832-17847, 2014
Evaluation of the applicability of the neck injury criterion (NIC) in rear end impacts on the basis of human subject tests
A Eichberger, H Steffan, B Geigl, M Svensson, O Boström, PE Leinzinger, ...
Proceedings of the International Research Council on the Biomechanics of …, 1998
Autonomous emergency braking systems adapted to snowy road conditions improve drivers' perceived safety and trust
I Koglbauer, J Holzinger, A Eichberger, C Lex
Traffic injury prevention 19 (3), 332-337, 2018
Towards a decision-making algorithm for automatic lane change manoeuvre considering traffic dynamics
S Samiee, S Azadi, R Kazemi, A Eichberger
PROMET-Traffic&Transportation 28 (2), 91-103, 2016
Development of a co-simulation framework for systematic generation of scenarios for testing and validation of automated driving systems
D Nalic, A Eichberger, G Hanzl, M Fellendorf, B Rogic
2019 ieee intelligent transportation systems conference (itsc), 1895-1901, 2019
Radar sensor model for the virtual development process
S Bernsteiner, Z Magosi, D Lindvai-Soos, A Eichberger
ATZelektronik worldwide 10 (2), 46-52, 2015
Deflector device for partially overlapping frontal collision of motor vehicles
G Schönberger, W Breitenhuber, W Schimpl, A Eichberger, F Pernkopf
US Patent 8,353,380, 2013
Driver drowsiness estimation using EEG signals with a dynamical encoder–decoder modeling framework
S Arefnezhad, J Hamet, A Eichberger, M Frühwirth, A Ischebeck, ...
Scientific reports 12 (1), 2650, 2022
Drivers’ Interaction with Adaptive Cruise Control on Dry and Snowy Roads with Various Tire‐Road Grip Potentials
I Koglbauer, J Holzinger, A Eichberger, C Lex
Journal of Advanced Transportation 2017 (1), 5496837, 2017
Virtual stochastic testing of advanced driver assistance systems
S Prialé Olivares, N Rebernik, A Eichberger, E Stadlober
Advanced Microsystems for Automotive Applications 2015: Smart Systems for …, 2016
A survey on modelling of automotive radar sensors for virtual test and validation of automated driving
ZF Magosi, H Li, P Rosenberger, L Wan, A Eichberger
Sensors 22 (15), 5693, 2022
Stress testing method for scenario-based testing of automated driving systems
D Nalic, H Li, A Eichberger, C Wellershaus, A Pandurevic, B Rogic
IEEE Access 8, 224974-224984, 2020
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