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Title:

RoadSense3D: A Framework for Roadside Monocular 3D Object Detection

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Carta, Salvatore; Castrillón-Santana, Modesto; Marras, Mirko; Mohamed, Sondos; Podda, Alessandro Sebastian; Saia, Roberto; Sau, Marco; Zimmer, Walter
Pages contribution:
8
Abstract:
Utilizing monocular cameras for 3D object understanding is widely recognized as a cost-effective approach, spanning applications such as autonomous driving, augmented/virtual reality or roadside monitoring. Despite recent progress, persistent challenges arise in creating generalized models adaptable to unforeseen scenarios and diverse camera configurations. In this work, we focus on the task of monocular 3D object detection within roadside environments. To begin, we introduce a versatile methodo...     »
Keywords:
Monocular Perception, 3D Object Detection, Autonomous Driving, Roadside Sensors, Intelligent Transportation Systems, Dataset, Traffic Monitoring
Dewey Decimal Classification:
000 Informatik, Wissen, Systeme
Editor:
ACM
Book / Congress title:
Adjunct Proceedings of the 32nd International ACM Conference on User Modeling, Adaptation and Personalization
Date of congress:
1 - 4 July 2024
Publisher:
ACM
Date of publication:
27.06.2024
Year:
2024
Quarter:
2. Quartal
Year / month:
2024-06
Month:
Jun
Pages:
8
Reviewed:
ja
Language:
en
Fulltext / DOI:
doi:10.1145/3631700.3665236
WWW:
https://dl.acm.org/doi/10.1145/3631700.3665236
TUM Institution:
School of Computation, Information and Technology
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