Improvements in Pedestrian Movement Prediction by Considering Multiple Intentions in a Multi-Hypotheses Filter

Particke F, Hiller M, Feist C, Thielecke J (2018)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2018

Event location: Monterey US

DOI: 10.1109/plans.2018.8373383

Authors with CRIS profile

Florian Particke Professur für Informationstechnik (Schwerpunkt Ortsbestimmung und Navigation) Markus Hiller Professur für Informationstechnik (Schwerpunkt Ortsbestimmung und Navigation) Jörn Thielecke Professur für Informationstechnik (Schwerpunkt Ortsbestimmung und Navigation)

Involved external institutions

Audi Electronics Venture GmbH DE Germany (DE)

How to cite

APA:

Particke, F., Hiller, M., Feist, C., & Thielecke, J. (2018). Improvements in Pedestrian Movement Prediction by Considering Multiple Intentions in a Multi-Hypotheses Filter. In Proceedings of the IEEE/ION PLANS 2018. Monterey, US.

MLA:

Particke, Florian, et al. "Improvements in Pedestrian Movement Prediction by Considering Multiple Intentions in a Multi-Hypotheses Filter." Proceedings of the IEEE/ION PLANS 2018, Monterey 2018.

BibTeX: Download