Loading…
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...
Saved in:
| Published in: | Frontiers of information technology & electronic engineering 2024-05, Vol.25 (5), p.755-762 |
|---|---|
| Main Authors: | , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| cited_by | |
|---|---|
| cites | cdi_FETCH-LOGICAL-c327t-f5cb74efddd570827e5ceaa30102912641817383d9fa62107637a45d18c158653 |
| container_end_page | 762 |
| container_issue | 5 |
| container_start_page | 755 |
| container_title | Frontiers of information technology & electronic engineering |
| container_volume | 25 |
| creator | Dong, Yuda Chen, Zetao He, Xin Li, Lijun Shu, Zichao Cao, Yinong Feng, Junchi Liu, Shijie Li, Chunlai Wang, Jianyu |
| description | 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. |
| doi_str_mv | 10.1631/FITEE.2400011 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3065609398</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3065609398</sourcerecordid><originalsourceid>FETCH-LOGICAL-c327t-f5cb74efddd570827e5ceaa30102912641817383d9fa62107637a45d18c158653</originalsourceid><addsrcrecordid>eNqF0E1LAzEQBuAgCpbao_eA562ZZPPlrZRWCwVBq9dl3GRLS7tbk2yh_96trXgRPM0cnnkHXkJugQ1BCbifzhaTyZDnjDGAC9LjzMrMcsEuf3Yw-TUZxLg-EgVWW9Mj09fJ--jlgSKNyQffUL_3daIlbn1A6jBh9IlWTaD7VUgtbijWjmK73HbMOxo8blbpcEOuKtxEPzjPPnmbThbjp2z-_Dgbj-ZZKbhOWSXLD537yjknNTNce1l6RMGAcQtc5WBACyOcrVBxYFoJjbl0YEqQRknRJ3en3F1oPlsfU7Fu2lB3LwvBlFTMCmv-UxJYLlWnspMqQxNj8FWxC6sthkMBrDh2Wnx3Wpw77fzw5GPn6qUPv6l_H3wBojN0mw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3065510456</pqid></control><display><type>article</type><title>SEVAR: a stereo event camera dataset for virtual and augmented reality</title><source>Springer Nature</source><creator>Dong, Yuda ; Chen, Zetao ; He, Xin ; Li, Lijun ; Shu, Zichao ; Cao, Yinong ; Feng, Junchi ; Liu, Shijie ; Li, Chunlai ; Wang, Jianyu</creator><creatorcontrib>Dong, Yuda ; Chen, Zetao ; He, Xin ; Li, Lijun ; Shu, Zichao ; Cao, Yinong ; Feng, Junchi ; Liu, Shijie ; Li, Chunlai ; Wang, Jianyu</creatorcontrib><description>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.</description><identifier>ISSN: 2095-9184</identifier><identifier>EISSN: 2095-9230</identifier><identifier>DOI: 10.1631/FITEE.2400011</identifier><language>eng</language><publisher>Hangzhou: Zhejiang University Press</publisher><subject>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</subject><ispartof>Frontiers of information technology & electronic engineering, 2024-05, Vol.25 (5), p.755-762</ispartof><rights>Zhejiang University Press 2024</rights><rights>Zhejiang University Press 2024.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c327t-f5cb74efddd570827e5ceaa30102912641817383d9fa62107637a45d18c158653</cites><orcidid>0000-0002-5596-5008 ; 0000-0001-8229-8143</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Dong, Yuda</creatorcontrib><creatorcontrib>Chen, Zetao</creatorcontrib><creatorcontrib>He, Xin</creatorcontrib><creatorcontrib>Li, Lijun</creatorcontrib><creatorcontrib>Shu, Zichao</creatorcontrib><creatorcontrib>Cao, Yinong</creatorcontrib><creatorcontrib>Feng, Junchi</creatorcontrib><creatorcontrib>Liu, Shijie</creatorcontrib><creatorcontrib>Li, Chunlai</creatorcontrib><creatorcontrib>Wang, Jianyu</creatorcontrib><title>SEVAR: a stereo event camera dataset for virtual and augmented reality</title><title>Frontiers of information technology & electronic engineering</title><addtitle>Front Inform Technol Electron Eng</addtitle><description>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.</description><subject>Algorithms</subject><subject>Augmented reality</subject><subject>Cameras</subject><subject>Communications Engineering</subject><subject>Computer Hardware</subject><subject>Computer Science</subject><subject>Computer Systems Organization and Communication Networks</subject><subject>Correspondence</subject><subject>Datasets</subject><subject>Electrical Engineering</subject><subject>Electronics and Microelectronics</subject><subject>Instrumentation</subject><subject>Multisensor fusion</subject><subject>Networks</subject><subject>Virtual reality</subject><issn>2095-9184</issn><issn>2095-9230</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqF0E1LAzEQBuAgCpbao_eA562ZZPPlrZRWCwVBq9dl3GRLS7tbk2yh_96trXgRPM0cnnkHXkJugQ1BCbifzhaTyZDnjDGAC9LjzMrMcsEuf3Yw-TUZxLg-EgVWW9Mj09fJ--jlgSKNyQffUL_3daIlbn1A6jBh9IlWTaD7VUgtbijWjmK73HbMOxo8blbpcEOuKtxEPzjPPnmbThbjp2z-_Dgbj-ZZKbhOWSXLD537yjknNTNce1l6RMGAcQtc5WBACyOcrVBxYFoJjbl0YEqQRknRJ3en3F1oPlsfU7Fu2lB3LwvBlFTMCmv-UxJYLlWnspMqQxNj8FWxC6sthkMBrDh2Wnx3Wpw77fzw5GPn6qUPv6l_H3wBojN0mw</recordid><startdate>20240501</startdate><enddate>20240501</enddate><creator>Dong, Yuda</creator><creator>Chen, Zetao</creator><creator>He, Xin</creator><creator>Li, Lijun</creator><creator>Shu, Zichao</creator><creator>Cao, Yinong</creator><creator>Feng, Junchi</creator><creator>Liu, Shijie</creator><creator>Li, Chunlai</creator><creator>Wang, Jianyu</creator><general>Zhejiang University Press</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>JQ2</scope><orcidid>https://orcid.org/0000-0002-5596-5008</orcidid><orcidid>https://orcid.org/0000-0001-8229-8143</orcidid></search><sort><creationdate>20240501</creationdate><title>SEVAR: a stereo event camera dataset for virtual and augmented reality</title><author>Dong, Yuda ; Chen, Zetao ; He, Xin ; Li, Lijun ; Shu, Zichao ; Cao, Yinong ; Feng, Junchi ; Liu, Shijie ; Li, Chunlai ; Wang, Jianyu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c327t-f5cb74efddd570827e5ceaa30102912641817383d9fa62107637a45d18c158653</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Augmented reality</topic><topic>Cameras</topic><topic>Communications Engineering</topic><topic>Computer Hardware</topic><topic>Computer Science</topic><topic>Computer Systems Organization and Communication Networks</topic><topic>Correspondence</topic><topic>Datasets</topic><topic>Electrical Engineering</topic><topic>Electronics and Microelectronics</topic><topic>Instrumentation</topic><topic>Multisensor fusion</topic><topic>Networks</topic><topic>Virtual reality</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dong, Yuda</creatorcontrib><creatorcontrib>Chen, Zetao</creatorcontrib><creatorcontrib>He, Xin</creatorcontrib><creatorcontrib>Li, Lijun</creatorcontrib><creatorcontrib>Shu, Zichao</creatorcontrib><creatorcontrib>Cao, Yinong</creatorcontrib><creatorcontrib>Feng, Junchi</creatorcontrib><creatorcontrib>Liu, Shijie</creatorcontrib><creatorcontrib>Li, Chunlai</creatorcontrib><creatorcontrib>Wang, Jianyu</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Computer Science Collection</collection><jtitle>Frontiers of information technology & electronic engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dong, Yuda</au><au>Chen, Zetao</au><au>He, Xin</au><au>Li, Lijun</au><au>Shu, Zichao</au><au>Cao, Yinong</au><au>Feng, Junchi</au><au>Liu, Shijie</au><au>Li, Chunlai</au><au>Wang, Jianyu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SEVAR: a stereo event camera dataset for virtual and augmented reality</atitle><jtitle>Frontiers of information technology & electronic engineering</jtitle><stitle>Front Inform Technol Electron Eng</stitle><date>2024-05-01</date><risdate>2024</risdate><volume>25</volume><issue>5</issue><spage>755</spage><epage>762</epage><pages>755-762</pages><issn>2095-9184</issn><eissn>2095-9230</eissn><abstract>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.</abstract><cop>Hangzhou</cop><pub>Zhejiang University Press</pub><doi>10.1631/FITEE.2400011</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-5596-5008</orcidid><orcidid>https://orcid.org/0000-0001-8229-8143</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2095-9184 |
| ispartof | Frontiers of information technology & electronic engineering, 2024-05, Vol.25 (5), p.755-762 |
| issn | 2095-9184 2095-9230 |
| language | eng |
| recordid | cdi_proquest_journals_3065609398 |
| source | Springer Nature |
| 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 |
| title | SEVAR: a stereo event camera dataset for virtual and augmented reality |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T01%3A26%3A53IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=SEVAR:%20a%20stereo%20event%20camera%20dataset%20for%20virtual%20and%20augmented%20reality&rft.jtitle=Frontiers%20of%20information%20technology%20&%20electronic%20engineering&rft.au=Dong,%20Yuda&rft.date=2024-05-01&rft.volume=25&rft.issue=5&rft.spage=755&rft.epage=762&rft.pages=755-762&rft.issn=2095-9184&rft.eissn=2095-9230&rft_id=info:doi/10.1631/FITEE.2400011&rft_dat=%3Cproquest_cross%3E3065609398%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c327t-f5cb74efddd570827e5ceaa30102912641817383d9fa62107637a45d18c158653%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3065510456&rft_id=info:pmid/&rfr_iscdi=true |