Implementation of a Track-Before-Detect Algorithm for Synthetic and Real Radar Data for Sensor Model Assessment

Implementation of a Track-Before-Detect Algorithm for Synthetic and Real Radar Data for Sensor Model Assessment

Automotive radar sensors have become irreplaceable not only when it comes to autonomous driving, but also in terms of driver assistance functionalities already available, e.g. for automatic cruise control on highways. Due to multipath propagation, wave interference and ambiguities, extracting target...

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Bibliographic Details
Main Author: Meister, David
Format: Dissertation
Language:en
Published: 2020
Online Access:https://tuprints.ulb.tu-darmstadt.de/11790/1/Meister_2020_Radar_TBD_GLMB_filter.pdf
Meister, David <http://tuprints.ulb.tu-darmstadt.de/view/person/Meister=3ADavid=3A=3A.html> (2020): Implementation of a Track-Before-Detect Algorithm for Synthetic and Real Radar Data for Sensor Model Assessment.Darmstadt, Technical University of Darmstadt, DOI: 10.25534/tuprints-00011790 <https://doi.org/10.25534/tuprints-00011790>, [Master Thesis]

Internet

https://tuprints.ulb.tu-darmstadt.de/11790/1/Meister_2020_Radar_TBD_GLMB_filter.pdf
Meister, David <http://tuprints.ulb.tu-darmstadt.de/view/person/Meister=3ADavid=3A=3A.html> (2020): Implementation of a Track-Before-Detect Algorithm for Synthetic and Real Radar Data for Sensor Model Assessment.Darmstadt, Technical University of Darmstadt, DOI: 10.25534/tuprints-00011790 <https://doi.org/10.25534/tuprints-00011790>, [Master Thesis]

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