Prof. Dr.-Ing. Andreas Gaull

RIEGL, Peter, Andreas GAULL und Michael BEITELSCHMIDT, 2022. Parameterization of automated driving functions in virtual environments based on characteristic test scenarios. 2022 IEEE Intelligent Vehicles Symposium (IV). Piscataway: IEEE, Page 511-518. ISBN 978-1-6654-8821-1. Available at: https://doi.org/10.1109/IV51971.2022.9827407

RIEGL, Peter, Andreas GAULL und Michael BEITELSCHMIDT, 2019. A tool chain for generating critical traffic situations for testing vehicle safety functions. 2019 IEEE International Conference on Vehicular Electronics and Safety (ICVES). Piscataway: IEEE. ISBN 978-1-7281-3473-4. Available at: https://doi.org/10.1109/ICVES.2019.8906471

SIMON, Bruno, Florian FRANKE, Peter RIEGL und Andreas GAULL, 2019. Motion planning for collision mitigation via FEM–based crash severity maps. 2019 IEEE Intelligent Vehicles Symposium (IV). Piscataway: IEEE, Page 2187-2194. ISBN 978-1-7281-0560-4. Available at: https://doi.org/10.1109/IVS.2019.8813832

SÁNCHEZ MORALES, Eduardo, Richard MEMBARTH, Andreas GAULL, Philipp SLUSALLEK, Tobias DIRNDORFER, Alexander KAMMENHUBER, Christoph LAUER und Michael BOTSCH, 2019. Parallel multi-hypothesis algorithm for criticality estimation in traffic and collision avoidance. 2019 IEEE Intelligent Vehicles Symposium (IV). Piscataway: IEEE, Page 2164-2171. ISBN 978-1-7281-0560-4. Available at: https://doi.org/10.1109/IVS.2019.8814015

SIMON, Bruno, Peter RIEGL und Andreas GAULL, 2019. Path planning with discrete geometric shape patterns. 2019 IEEE International Conference on Vehicular Electronics and Safety (ICVES). Piscataway: IEEE. ISBN 978-1-7281-3473-4. Available at: https://doi.org/10.1109/ICVES.2019.8906449