Diegel, Daniel und Pölzleitner, Daniel und Baumgartner, Daniel und Brembeck, Jonathan (2024) Micro AI-For-Mobility - Research Platform for AI-Based Control Methods. IEEE. VTC 2024 Fall, 2024-10-07 - 2024-10-10, Washington, D.C.. doi: 10.1109/VTC2024-Fall63153.2024.10757935.
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Offizielle URL: https://ieeexplore.ieee.org/abstract/document/10757935
Kurzfassung
The AI for Micro Mobility (µAFM) is the new research platform for investigation of novel active and passive electronic bicycle assistance control methods within the Department of Vehicle System Dynamics at the German Aerospace Center (DLR). Autonomous driving and artificial intelligence offer completely new possibilities for control systems. However, no studies have yet investigated the holistic approach, from the perception sensors to the control algorithms, with the aim of protecting vulnerable road users, particularly in the context of bicycles. The objective of our research is to contribute to this field of study. To this end, we equipped a production electric serial hybrid power train bicycle with a set of state-of-the-art sensors and computational hardware. The hardware and software integration of the various sensors as well as the network architecture is presented. Paving the path for further research in this field. Concluding, two real-word experiments are conducted to validate and investigate the performance of the setup for further control algorithms studies.
elib-URL des Eintrags: | https://elib.dlr.de/207725/ | ||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||||||
Titel: | Micro AI-For-Mobility - Research Platform for AI-Based Control Methods | ||||||||||||||||||||
Autoren: |
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Datum: | 28 November 2024 | ||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||
DOI: | 10.1109/VTC2024-Fall63153.2024.10757935 | ||||||||||||||||||||
Verlag: | IEEE | ||||||||||||||||||||
Name der Reihe: | Conference on Vehicular Technology (VTC) | ||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||
Stichwörter: | ai-based control methods, e-bike research platform, bicycle assistant systems, robotic bicycle, electro-mobility, micro mobility platform | ||||||||||||||||||||
Veranstaltungstitel: | VTC 2024 Fall | ||||||||||||||||||||
Veranstaltungsort: | Washington, D.C. | ||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||
Veranstaltungsbeginn: | 7 Oktober 2024 | ||||||||||||||||||||
Veranstaltungsende: | 10 Oktober 2024 | ||||||||||||||||||||
Veranstalter : | IEEE | ||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||
HGF - Programm: | Verkehr | ||||||||||||||||||||
HGF - Programmthema: | Straßenverkehr | ||||||||||||||||||||
DLR - Schwerpunkt: | Verkehr | ||||||||||||||||||||
DLR - Forschungsgebiet: | V ST Straßenverkehr | ||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | V - V&V4NGC - Methoden, Prozesse und Werkzeugketten für die Validierung & Verifikation von NGC | ||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||
Institute & Einrichtungen: | Institut für Systemdynamik und Regelungstechnik Institut für Systemdynamik und Regelungstechnik > Fahrzeug-Systemdynamik | ||||||||||||||||||||
Hinterlegt von: | Diegel, Daniel | ||||||||||||||||||||
Hinterlegt am: | 13 Jan 2025 09:44 | ||||||||||||||||||||
Letzte Änderung: | 13 Jan 2025 09:44 |
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