{"title":"SEVAR: a stereo event camera dataset for virtual and augmented reality","authors":"Yuda Dong, Zetao Chen, Xin He, Lijun Li, Zichao Shu, Yinong Cao, Junchi Feng, Shijie Liu, Chunlai Li, Jianyu Wang","doi":"10.1631/fitee.2400011","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":12608,"journal":{"name":"Frontiers of Information Technology & Electronic Engineering","volume":"24 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers of Information Technology & Electronic Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1631/fitee.2400011","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
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.
在本文中，我们介绍了一个基于精确同步事件的数据集，该数据集专为 SLAM 应用中的多传感器融合而设计，尤其侧重于 VR 和 AR 场景。除了设置常用的立体常规摄像机和 IMU 外，我们还集成了立体事件摄像机。我们专门记录模仿现实生活场景的序列，同时增加了具有挑战性的序列，如弱光和快速运动。因此，我们希望该数据集能成为推动基于事件的多传感器融合算法领域研究的宝贵资源。
期刊介绍：
Frontiers of Information Technology & Electronic Engineering (ISSN 2095-9184, monthly), formerly known as Journal of Zhejiang University SCIENCE C (Computers & Electronics) (2010-2014), is an international peer-reviewed journal launched by Chinese Academy of Engineering (CAE) and Zhejiang University, co-published by Springer & Zhejiang University Press. FITEE is aimed to publish the latest implementation of applications, principles, and algorithms in the broad area of Electrical and Electronic Engineering, including but not limited to Computer Science, Information Sciences, Control, Automation, Telecommunications. There are different types of articles for your choice, including research articles, review articles, science letters, perspective, new technical notes and methods, etc.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
