TY - GEN
T1 - Method for comprehensive and adaptive risk analysis for the development of automated driving
AU - Wittmann, David
AU - Lienkamp, Markus
AU - Wang, Cheng
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - The evaluation of the risks of automated driving functions during early development challenges actual risk assessment methods. An approach for efficient model-based risk estimation for automated driving functions is presented. A framework and formal representation to model the interactions between the behavior of automated vehicles, relevant scenarios and potential risk are illustrated in detail. Results of the usage for a real function development as well as an exemplary risk assessment are shown.
AB - The evaluation of the risks of automated driving functions during early development challenges actual risk assessment methods. An approach for efficient model-based risk estimation for automated driving functions is presented. A framework and formal representation to model the interactions between the behavior of automated vehicles, relevant scenarios and potential risk are illustrated in detail. Results of the usage for a real function development as well as an exemplary risk assessment are shown.
UR - https://www.scopus.com/pages/publications/85046283215
U2 - 10.1109/ITSC.2017.8317791
DO - 10.1109/ITSC.2017.8317791
M3 - Conference contribution
AN - SCOPUS:85046283215
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
BT - 2017 IEEE 20th International Conference on Intelligent Transportation Systems, ITSC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE International Conference on Intelligent Transportation Systems, ITSC 2017
Y2 - 16 October 2017 through 19 October 2017
ER -