%0 Conference Paper %1 conf/ivs/OrthKPSPH17 %A Orth, Dennis %A Kolossa, Dorothea %A Paja, Milton Sarria %A Schaller, Kersten %A Pech, Andreas %A Heckmann, Martin %B Intelligent Vehicles Symposium %D 2017 %I IEEE %K %P 553-558 %T A maximum likelihood method for driver-specific critical-gap estimation. %U http://dblp.uni-trier.de/db/conf/ivs/ivs2017.html#OrthKPSPH17 %@ 978-1-5090-4804-5

@inproceedings{conf/ivs/OrthKPSPH17, added-at = {2023-12-13T04:59:12.000+0100}, author = {Orth, Dennis and Kolossa, Dorothea and Paja, Milton Sarria and Schaller, Kersten and Pech, Andreas and Heckmann, Martin}, biburl = {https://www.bibsonomy.org/bibtex/2051743d47dfa6b9dcb106b43c5090c47/admin}, booktitle = {Intelligent Vehicles Symposium}, crossref = {conf/ivs/2017}, ee = {https://doi.org/10.1109/IVS.2017.7995776}, interhash = {9cf24afc2f924e6ecd431bf9b3eadc96}, intrahash = {051743d47dfa6b9dcb106b43c5090c47}, isbn = {978-1-5090-4804-5}, keywords = {}, pages = {553-558}, publisher = {IEEE}, timestamp = {2023-12-13T04:59:12.000+0100}, title = {A maximum likelihood method for driver-specific critical-gap estimation.}, url = {http://dblp.uni-trier.de/db/conf/ivs/ivs2017.html#OrthKPSPH17}, year = 2017 }