Template matching for radar-based orientation and position estimation in automotive scenarios

peer-reviewed
Erstveröffentlichung
2017-05-04Authors
Schlichenmaier, Johannes
Selvaraj, Niranjan
Stolz, Martin
Waldschmidt, Christian
Beitrag zu einer Konferenz
Published in
2017 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM) / Institute of Electrical and Electronics Engineers (Hrsg.). - : IEEE, 2017. - S. 95-98. - ISBN 978-1-5090-4354-5, ISBN 978-1-5090-4355-2
Link to original publication
https://dx.doi.org/10.1109/ICMIM.2017.7918865Faculties
Fakultät für Ingenieurwissenschaften, Informatik und PsychologieInstitutions
Institut für MikrowellentechnikExternal cooperations
Robert Bosch GmbHDocument version
published version (publisher's PDF)Conference
IEEE MTT-S International Conference on Microwaves for Intelligent Mobility (ICMIM), 2017-03-19 - 2017-03-21, Nagoya, Japan
Abstract
Future high-resolution radars enable new functionalities in advanced driver assistance systems, such as estimation of contour, position, and orientation of vehicles on the road. However, straightforward approaches like that of Oriented Bounding Box generally fail in challenging automotive scenarios, when only one side of the vehicle is visible to the radar. In this paper, an estimation approach based on Generalized Hough Transform matching is presented and examined for its use in such automotive scenarios. An optimization method is discussed and finally, the algorithm is compared against a classic approach.
Subject headings
[GND]: Wandler | Feldeffekttransistor | Mikrowellenschaltung | Radar | Fahrzeugbau[LCSH]: Estimation theory | Radar | Microwave integrated circuits | Motor vehicles; Design and construction | Field-effect transistors
[Free subject headings]: Transforms | Microwave FET integrated circuits | Automotive engineering | Shape
[DDC subject group]: DDC 620 / Engineering & allied operations
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Please use this identifier to cite or link to this item: http://dx.doi.org/10.18725/OPARU-6592
Schlichenmaier, Johannes et al. (2018): Template matching for radar-based orientation and position estimation in automotive scenarios. Open Access Repositorium der Universität Ulm und Technischen Hochschule Ulm. http://dx.doi.org/10.18725/OPARU-6592
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