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ZENODO
Dataset . 2026
License: CC BY NC
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY NC
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY NC
Data sources: Datacite
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CONVERGE Challenge Dataset: Multimodal Sensing for 6G Wireless Communications (ICASSP 2026)

Authors: Ribeiro, Francisco Manuel; Teixeira, Filipe Borges; Chen, Jichao; Alkhateeb, Ahmed; Ricardo, Manuel; Slock, Dirk; Pessoa, Luís;

CONVERGE Challenge Dataset: Multimodal Sensing for 6G Wireless Communications (ICASSP 2026)

Abstract

This record contains the dataset used for the CONVERGE Challenge organized with ICASSP 2026.The dataset contains synchronized RGB-D video, radio measurements, and annotations for multimodal wireless sensing tasks. The data are split into training and validation archives. Each split includes scenario indexes, RGB frames, disparity frames, E2 radio measurements, SRS channel measurements, stereo camera calibration, and task annotations. The dataset supports three challenge tasks: blockage-state prediction, user equipment position estimation, and future SRS channel prediction. Task 1 annotations provide blockage labels with states no, partial, and full. Task 2 annotations provide UE translation coordinates in millimeters. Task 3 uses the same video and radio inputs for future SRS channel prediction.

Keywords

user equipment localization, E2, radio sensing, multimodal sensing, RGB-D, blockage prediction, wireless sensing, 5G, SRS

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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