User: Guest  Login
Title:

TUMTraf V2X Cooperative Perception Dataset - Supplementary Material

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Zimmer, Walter; Wardana, Gerhard Arya; Sritharan, Suren; Zhou, Xingcheng; Song, Rui; Knoll, Alois C.
Pages contribution:
13
Abstract:
Cooperative perception offers several benefits for enhancing the capabilities of autonomous vehicles and improving road safety. Using roadside sensors in addition to onboard sensors increases reliability and extends the sensor range. They offer a higher situational awareness for automated vehicles and prevent occlusions. We propose CoopDet3D, a cooperative multi-modal fusion model, and TUMTraf-V2X, a perception dataset, for the cooperative 3D object detection and tracking task. Our dataset conta...     »
Keywords:
V2X, Cooperative Perception, 3D Object Detection, Autonomous Driving, Roadside Sensors, Intelligent Transportation Systems, Dataset, Traffic Monitoring
Dewey Decimal Classification:
000 Informatik, Wissen, Systeme
Editor:
IEEE/CVF
Book / Congress title:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Organization:
IEEE/CVF
Date of congress:
17 - 21 July 2024
Publisher:
IEEE/CVF
Year:
2024
Year / month:
2024-06
Month:
Jun
Pages:
13
Reviewed:
ja
Language:
en
Publication format:
WWW
Fulltext / DOI:
doi:https://doi.org/10.48550/arXiv.2403.01316
WWW:
https://openaccess.thecvf.com/content/CVPR2024/supplemental/Zimmer_TUMTraf_V2X_Cooperative_CVPR_2024_supplemental.pdf
TUM Institution:
School of Computation, Information and Technology
Copyright statement:
IEEE
Format:
Text
 BibTeX