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  6. Werner Huber

Prof. Dr.-Ing. Werner Huber


Head of CARISSMA Institute of Automated Driving (C-IAD)

Phone +49 841 9348-2523
E-Mail Werner.Huber@thi.de
Room: H020
Subject Area: Integral vehicle safety and its test methods
Faculty: Fakultät E

Research


  • Test and validation of automated driving functions in reality and simulation
  • Sensor, function and traffic simulation
  • Mixed reality test environment, X-in-the Loop (HiL, MiL ViL, Sensor in the Loop)
  • Head of CARISSMA Institute of Automated Driving (C-IAD) 

Vita


  • Since 2016 at THI
  • 07/2012 - 06/2016: Head of Perception and Automated Driving Research Group at BMW Group Forschung GmbH
  • 12/2008 - 06/2012: Head of Overall Vehicle Architecture and Integration of Driver Assistance Systems; BMW Group
  • 02/2008 - 11/2008: Research associate at the Technical University of Munich, Department of Traffic Engineering
  • 2001: Doctorate at the Technical University of Munich; dissertation "Vehicle-generated data for obtaining traffic information".
  • 05/1991 - 08/1996: Research Scientist TU Munich FG Traffic Engineering
  • 1984 - 1991: Studies in Civil Engineering/Traffic Engineering at the Technical University of Munich

Publications


  • Funk Drechsler, M.; Reway, F.; Sharma, V.; Schütz, C. and Huber, W.: Dynamic Vehicle-in-the-Loop (2022): A novel Method for Testing Automated Driving Functions. SAE International Journal of Connected and Automated Vehicles
  • Rothmeier, T.; Huber, W. (2021): Let it snow. On the Synthesis of Adverse Weather Image Data. ITSC 2021
  • Wachtel, D.; Schröder, S.; Reway, F.; Huber, W.; Vossiek, M. (2021): Validation Method of a Radar Sensor Model under non-ideal Conditions for Testing Automated Driving Systems, IV2021
  • F. Denk, W. Huber, P. Brunner and R. Kates, „The role of perceptual failure and degrading processes in urban traffic accidents: a stochastic computational model for virtual experiments”, IEEE ITSC 2020
  • F. Reway, A. Hoffmann, D. Wachtel, W. Huber, A. Knoll und E. Ribeiro, „Test Method for Measuring the Simulation-to-Reality Gap of Camera-based Object Detection Algorithms for Autonomous Driving,“ in 2020 IEEE Intelligent Vehicles (IV), 2020

Awards and memberships

  • ITS-Bavaria Board Member
  • Road and Transport Research Association, AA 3.1 Telematics
  • Expert Advisory Board of the ADAC Foundation
Technische Hochschule Ingolstadt
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  • Phone: +49 841 9348-0
  • Mail: info@thi.de

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