Bayesian Architecture and Learning Algorithms for Recognition of Vulnerable Road Users using Automotive Radar
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Dissertation, 2022
- Keyword
-
Maschinelles Lernen
Radar
Fahrerassistenzsystem
Objekterkennung
Autonomes Fahrzeug
Merkmalsextraktion
Zielerkennung
- Event
-
Veröffentlichung
- (where)
-
Erlangen
- (who)
-
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
- (when)
-
2022
- Creator
- Contributor
-
Weigel, Robert
Waldschmidt, Christian
- URN
-
urn:nbn:de:bvb:29-opus4-211149
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:42 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Dubey, Anand
- Weigel, Robert
- Waldschmidt, Christian
- Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Time of origin
- 2022
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Cognitive Architectures, Processing and Learning Algorithms for Intelligent Radar Solutions
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Preprocessing and Classification Techniques for FMCW Radar and Deep Learning Based Indoor Motion Classification
Characterization and Design of Small Array Antennas for Direction-Of-Arrival Estimation for Ultra-Wideband Industrial FMCW Radar Systems
Device Concept Study of GaN-on-Si HEMTs with Deeply Scaled Field Plate for Improved High Frequency Performance
Fault Tolerant Design Techniques for Smart Power Drivers and Diagnostic Circuits
Automatische Klassifikation von Kommunikationsstandards im europäischen 868 MHz Short Range Device-Band
Weigel, Robert; 24.1.1887
Optimierung von Down-Chirp-Rampen in FMCW-Automotive-Radar-Systemen zur Unterdrückung spektraler Störer
Advanced silicon MMICs for mm wave automotive radar front ends
Konstruktion und Berechnung elektrischer Maschinen und Apparate erl. durch Beispiele
Cognitive Architectures, Processing and Learning Algorithms for Intelligent Radar Solutions
Integrated D-Band-Antennas and Transceivers for Radar Applications in Silicon-based Semiconductor Technologies
A Chip-Area-Efficient Baseband Processing Core for FMCW Radar-based Sensor Network Localization
Preprocessing and Classification Techniques for FMCW Radar and Deep Learning Based Indoor Motion Classification
Characterization and Design of Small Array Antennas for Direction-Of-Arrival Estimation for Ultra-Wideband Industrial FMCW Radar Systems
Device Concept Study of GaN-on-Si HEMTs with Deeply Scaled Field Plate for Improved High Frequency Performance
Fault Tolerant Design Techniques for Smart Power Drivers and Diagnostic Circuits