SEVAR: a stereo event camera dataset for virtual and augmented reality

Conclusions In this paper, we present a precisely synchronized event-based dataset, designed especially for multi-sensor fusion in SLAM applications, with a particular emphasis on VR and AR scenarios. Alongside setting up commonly used stereo regular cameras and an IMU, we have integrated stereo eve...

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Bibliographic Details
Published in:Frontiers of information technology & electronic engineering 2024-05, Vol.25 (5), p.755-762
Main Authors: Dong, Yuda, Chen, Zetao, He, Xin, Li, Lijun, Shu, Zichao, Cao, Yinong, Feng, Junchi, Liu, Shijie, Li, Chunlai, Wang, Jianyu
Format: Article
Language:English
Subjects:
Algorithms
Augmented reality
Cameras
Communications Engineering
Computer Hardware
Computer Science
Computer Systems Organization and Communication Networks
Correspondence
Datasets
Electrical Engineering
Electronics and Microelectronics
Instrumentation
Multisensor fusion
Networks
Virtual reality
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Summary:Conclusions In this paper, we present a precisely synchronized event-based dataset, designed especially for multi-sensor fusion in SLAM applications, with a particular emphasis on VR and AR scenarios. Alongside setting up commonly used stereo regular cameras and an IMU, we have integrated stereo event cameras. We specialize in recording sequences to imitate real-life scenarios, while adding challenging sequences such as low light and fast motion. Consequently, it is our aspiration that this dataset will serve as a valuable resource for the advancement of research in the domain of event-based multi-sensor fusion algorithms.
ISSN:2095-9184
2095-9230
DOI:10.1631/FITEE.2400011