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On-line Access: 2024-06-04
Received: 2024-01-07
Revision Accepted: 2024-06-04
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Citations: Bibtex RefMan EndNote GB/T7714
SEVAR: a stereo event camera dataset for virtual and augmented reality
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Yuda DONG, Zetao CHEN, Xin HE, Lijun LI, Zichao SHU, Yinong CAO, Junchi FENG, Shijie LIU, Chunlai LI, Jianyu WANG. SEVAR: a stereo event camera dataset for virtual and augmented reality[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(5): 755-762.
@article{title="SEVAR: a stereo event camera dataset for virtual and augmented reality",
author="Yuda DONG, Zetao CHEN, Xin HE, Lijun LI, Zichao SHU, Yinong CAO, Junchi FENG, Shijie LIU, Chunlai LI, Jianyu WANG",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="25",
number="5",
pages="755-762",
year="2024",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2400011"
}
%0 Journal Article
%T SEVAR: a stereo event camera dataset for virtual and augmented reality
%A Yuda DONG
%A Zetao CHEN
%A Xin HE
%A Lijun LI
%A Zichao SHU
%A Yinong CAO
%A Junchi FENG
%A Shijie LIU
%A Chunlai LI
%A Jianyu WANG
%J Frontiers of Information Technology & Electronic Engineering
%V 25
%N 5
%P 755-762
%@ 2095-9184
%D 2024
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2400011
TY - JOUR
T1 - SEVAR: a stereo event camera dataset for virtual and augmented reality
A1 - Yuda DONG
A1 - Zetao CHEN
A1 - Xin HE
A1 - Lijun LI
A1 - Zichao SHU
A1 - Yinong CAO
A1 - Junchi FENG
A1 - Shijie LIU
A1 - Chunlai LI
A1 - Jianyu WANG
J0 - Frontiers of Information Technology & Electronic Engineering
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2400011
Abstract: Event cameras, characterized by their low latency, large dynamic range, and extremely high temporal resolution, have recently received increasing attention. These features make them particularly well-suited for virtual/augmented reality (VR/AR) applications. To facilitate the development of three-dimensional (3D) perception and navigation algorithms in VR/AR applications using event cameras, we introduce the Stereo Event camera dataset for Virtual and Augmented Reality (SEVAR), which comprises a wide variety of head-mounted indoor sequences, including scenarios with rapid motion and a large dynamic range. We present the first comprehensive set of VR/AR datasets captured with an event-based stereo camera, a regular stereo camera at 30 Hz, and an inertial measurement unit at 1000 Hz. The camera placement, field of view (FoV), and resolution match those of the head-mounted device, such as Meta Quest Pro. All sensors are time-synchronized in the hardware. Ground truth poses captured by a motion capture system are also available for trajectory evaluation. The sequences include several common scenarios, and cover the specific challenges targeted by event cameras. The dataset can be found at
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