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PWd4.20

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Elektrofahrzeug PWe8.17
Beschleunigung 0-100km / h: ca. 2.2 sek
Akkucontainer 7.5kWh and 579V Maximalspannung
Allradantrieb 4x27kW
Echtzeitsteuergerät Echtzeitsteuergerät “ETAS ES910”
Software Umfangreiche Fahrdynamiksoftware

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Bremssystem Pneumatisch rückgestelltes Gasfederbremssystem
Lenksystem Kompaktes Lenksystem aus Gleichstrommotor und Planetengetriebe

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Kameras Zwei Stereokamera-Arrays für die Objekterkennung und Tiefenermittlung
Beschleunigungs- und Geschwindigkeitssensorik Beschleunigungs- und Geschwindigkeitssensorik fusioniert mit einem Inertial Navigation System (INS)

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Grafikverarbeitung NVIDIA Jetson AGX Xavier
Umfelderkennung Objekterkennung durch Deep Learning Algorithmus
Mapping / Localization Eigenentwickelter C++ Stack – vom Bild bis zur Lenkbewergung. Mapping, Clustering, Stereomatching, Triangulation, Delauney etc.
Toolchain Weitreichende Toolchain: C++, ROS, Python, Matlab, IPG Carmaker, Docker, Catia V5
Trajektorienplanung Trajektorienplanung über modell-basierten Reinforcement Learning; das Auto lernt den schnellsten Pfad

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