Dennis Orth

Wissenschaftlicher Mitarbeiter (extern, Honda Research Institute)
Ruhr-Universität Bochum
Kognitive Signalverarbeitung
Fakultät für Elektrotechnik und Informationstechnik
Universitätsstr. 150
D-44780 Bochum

Email: dennis.orth@rub.de


Publications

Orth, D., Bolder, B., Steinhardt, N., Dunn, M., Kolossa, D., Heckmann, M. (2018). "A Speech-Based On-Demand Intersection Assistant Prototype", 2018 IEEE Intelligent Vehicles Symposium (IV), Changshu, China, June 26-29 2018.

Heckmann, M., Orth, D., Wersing, H., Kolossa, D. (2017). "Development of a personalised intersection assistant", ATZ Worldw (2017) 119: 36.

Heckmann, M., Wersing, H., Orth, D., Kolossa, D., Schömig, N., Maag, C., Dunn, M. (2017). "Towards an On Demand Intersection Assistant: Initial User Acceptance and System Development", 2017 FAST-zero ’17, Nara, Japan, September 18-22 2017.

Orth, D., Kolossa, D., Sarria Paja, M., Schaller, K., Pech, A., Heckmann, M. (2017). "A Maximum Likelihood Method for Driver-Specific Critical-Gap Estimation", 2017 IEEE Intelligent Vehicles Symposium (IV), Redondo Beach, CA, USA, 11-14 June 2017.

Orth, D., Schömig, N., Mark, C., Jagiellowicz-Kaufmann, M., Kolossa, D., Heckmann, M. (2017). "Benefits of Personalization in the Context of a Speech-Based Left-Turn Assistant", 9th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’17), Oldenburg, Germany, September 24 - 27, 2017.

Orth, D., Kolossa, D., Heckmann, M. (2017). "Predicting driver left-turn behavior from few training samples using a maximum a posteriori method", 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), Yokohama, Japan, October 16-19.

Schönherr, L., Orth, D., Heckmann, M., Kolossa, D. (2016). "Environmentally Robust Audio-Visual Speaker Identification", Proc. IEEE Workshop on Spoken Language Technology (SLT 2016), San Diego, USA, 13-16 December 2016.