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Titel:

MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Fent, Felix; Kuttenreich, Fabian; Ruch, Florian; Rizwin, Farija; Juergens, Stefan; Lechermann, Lorenz; Nissler, Christian; Perl, Andrea; Voll, Ulrich; Yan, Min; Lienkamp, Markus
Abstract:
Autonomous trucking is a promising technology that can greatly impact modern logistics and the environment. Ensuring its safety on public roads is one of the main duties that requires an accurate perception of the environment. To achieve this, machine learning methods rely on large datasets, but to this day, no such datasets are available for autonomous trucks. In this work, we present MAN TruckScenes, the first multimodal dataset for autonomous trucking. MAN TruckScenes allows the research comm...     »
Zeitschriftentitel:
Advances in Neural Information Processing Systems
Jahr:
2024
Band / Volume:
37
Nachgewiesen in:
Scopus
Verlag / Institution:
Neural information processing systems foundation
Print-ISSN:
1049-5258
Hinweise:
Publisher Copyright: © 2024 Neural information processing systems foundation. All rights reserved.; 38th Conference on Neural Information Processing Systems, NeurIPS 2024 ; Conference date: 09-12-2024 Through 15-12-2024
TUM Einrichtung:
Lehrstuhl für Fahrzeugtechnik
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