%0 Conference Paper %1 czech2022onboard %A Czech, Phillip %A Braun, Markus %A Kressel, Ulrich %A Yang, Bin %B 21st IEEE International Conference on Machine Learning and Applications %C Piscataway, NJ %D 2022 %E Wani, M. Arif %E Kantardzic, Mehmed %E Palade, Vasile %E Neagu, Daniel %E Yang, Longzhi %E Chan, Kit-Yan %I IEEE %K ubs_10005 ubs_20007 ubs_30077 ubs_40334 unibibliografie wos %P 437-443 %R 10.1109/ICMLA55696.2022.00070 %T On-Board Pedestrian Trajectory Prediction Using Behavioral Features %@ 978-1-6654-6283-9 and 978-1-6654-6284-6

@inproceedings{czech2022onboard, added-at = {2023-12-21T15:02:44.000+0100}, address = {Piscataway, NJ}, affiliation = {Czech, P (Corresponding Author), Mercedes Benz AG, Urban Autonomous Driving Dept, Stuttgart, Germany. Czech, P (Corresponding Author), Univ Stuttgart, Inst Signal Proc & Syst Theory, Stuttgart, Germany. Czech, Phillip; Braun, Markus; Kressel, Ulrich, Mercedes Benz AG, Urban Autonomous Driving Dept, Stuttgart, Germany. Czech, Phillip; Yang, Bin, Univ Stuttgart, Inst Signal Proc & Syst Theory, Stuttgart, Germany.}, author = {Czech, Phillip and Braun, Markus and Kressel, Ulrich and Yang, Bin}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/26f63e836e5a77ca2662497525409d2ee/unibiblio}, booktitle = {21st IEEE International Conference on Machine Learning and Applications}, doi = {10.1109/ICMLA55696.2022.00070}, editor = {Wani, M. Arif and Kantardzic, Mehmed and Palade, Vasile and Neagu, Daniel and Yang, Longzhi and Chan, Kit-Yan}, eventdate = {2022-12-12/2022-12-14}, eventtitle = {21st IEEE International Conference on Machine Learning and Applications (IEEE ICMLA), Nassau, BAHAMAS, DEC 12-14, 2022}, interhash = {f083ffbbcda8af40992e3b1a090b1347}, intrahash = {6f63e836e5a77ca2662497525409d2ee}, isbn = {{978-1-6654-6283-9} and {978-1-6654-6284-6}}, keywords = {ubs_10005 ubs_20007 ubs_30077 ubs_40334 unibibliografie wos}, language = {eng}, pages = {437-443}, publisher = {IEEE}, research-areas = {Computer Science}, timestamp = {2023-12-21T15:02:44.000+0100}, title = {On-Board Pedestrian Trajectory Prediction Using Behavioral Features}, unique-id = {WOS:000980994900061}, venue = {{Nassau, Bahamas} and {Online}}, year = 2022 }