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Title:

TUMTraf Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception [Best Student Paper Award]

Document type:
Konferenzbeitrag
Author(s):
Zimmer, Walter; Creß, Christian; Nguyen, Huu Tung; Knoll, Alois C.
Pages contribution:
1030-1037
Abstract:
Intelligent Transportation Systems (ITS) allow a drastic expansion of the visibility range and decrease occlusions for autonomous driving. To obtain accurate detections, detailed labeled sensor data for training is required. Unfortunately, high-quality 3D labels of LiDAR point clouds from the infrastructure perspective of an intersection are still rare. Therefore, we provide the TUM Traffic (TUMTraf) Intersection Dataset, which consists of labeled LiDAR point clouds and synchronized camera image...     »
Keywords:
Dataset, 3D Perception, Camera, LiDAR, Intelligent Transportation Systems, Autonomous Driving
Dewey Decimal Classification:
000 Informatik, Wissen, Systeme
Editor:
IEEE
Book / Congress title:
2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)
Date of congress:
24-28 September 2023
Publisher:
IEEE
Date of publication:
13.02.2024
Year:
2024
Quarter:
1. Quartal
Year / month:
2024-02
Month:
Feb
Pages:
8
Print-ISBN:
979-8-3503-9947-9
E-ISBN:
979-8-3503-9946-2
Reviewed:
ja
Language:
en
Fulltext / DOI:
doi:10.1109/ITSC57777.2023.10422289
WWW:
https://ieeexplore.ieee.org/document/10422289
TUM Institution:
Chair of Robotics, Artificial Intelligence and Real-time Systems
Copyright statement:
This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.
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