TJ4DRadSet: A 4D Radar Dataset for Autonomous Driving

The next-generation high-resolution automotive radar (4D radar) can provide additional elevation measurement and denser point clouds, which has great potential for 3D sensing in autonomous driving. In this paper, we introduce a dataset named TJ4DRadSet with 4D radar points for autonomous driving res...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) s. 493 - 498
Hlavní autori: Zheng, Lianqing, Ma, Zhixiong, Zhu, Xichan, Tan, Bin, Li, Sen, Long, Kai, Sun, Weiqi, Chen, Sihan, Zhang, Lu, Wan, Mengyue, Huang, Libo, Bai, Jie
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 08.10.2022
Predmet:
Object detection
Point cloud compression
Radar
Radar detection
Radar measurements
Radar tracking
Three-dimensional displays
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Abstract The next-generation high-resolution automotive radar (4D radar) can provide additional elevation measurement and denser point clouds, which has great potential for 3D sensing in autonomous driving. In this paper, we introduce a dataset named TJ4DRadSet with 4D radar points for autonomous driving research. The dataset was collected in various driving scenarios, with a total of 7757 synchronized frames in 44 consecutive sequences, which are well annotated with 3D bounding boxes and track ids. We provide a 4D radar-based 3D object detection baseline for our dataset to demonstrate the effectiveness of deep learning methods for 4D radar point clouds. The dataset can be accessed via the following link: https://github.com/TJRadarLab/TJ4DRadSet.
AbstractList The next-generation high-resolution automotive radar (4D radar) can provide additional elevation measurement and denser point clouds, which has great potential for 3D sensing in autonomous driving. In this paper, we introduce a dataset named TJ4DRadSet with 4D radar points for autonomous driving research. The dataset was collected in various driving scenarios, with a total of 7757 synchronized frames in 44 consecutive sequences, which are well annotated with 3D bounding boxes and track ids. We provide a 4D radar-based 3D object detection baseline for our dataset to demonstrate the effectiveness of deep learning methods for 4D radar point clouds. The dataset can be accessed via the following link: https://github.com/TJRadarLab/TJ4DRadSet.
Author Zhu, Xichan
Zhang, Lu
Wan, Mengyue
Li, Sen
Zheng, Lianqing
Ma, Zhixiong
Bai, Jie
Huang, Libo
Long, Kai
Chen, Sihan
Tan, Bin
Sun, Weiqi
Author_xml – sequence: 1
  givenname: Lianqing
  surname: Zheng
  fullname: Zheng, Lianqing
  email: zhenglianqing@tongji.edu.cn
  organization: School of Automotive Studies, Tongji University,Shanghai,China
– sequence: 2
  givenname: Zhixiong
  surname: Ma
  fullname: Ma, Zhixiong
  email: mzx1978@tongji.edu.cn
  organization: School of Automotive Studies, Tongji University,Shanghai,China
– sequence: 3
  givenname: Xichan
  surname: Zhu
  fullname: Zhu, Xichan
  email: huxichan@tongji.edu.cn
  organization: School of Automotive Studies, Tongji University,Shanghai,China
– sequence: 4
  givenname: Bin
  surname: Tan
  fullname: Tan, Bin
  email: tanbin@tongji.edu.cn
  organization: School of Automotive Studies, Tongji University,Shanghai,China
– sequence: 5
  givenname: Sen
  surname: Li
  fullname: Li, Sen
  email: lisen@tongji.edu.cn
  organization: School of Automotive Studies, Tongji University,Shanghai,China
– sequence: 6
  givenname: Kai
  surname: Long
  fullname: Long, Kai
  email: 2011442@tongji.edu.cn
  organization: School of Automotive Studies, Tongji University,Shanghai,China
– sequence: 7
  givenname: Weiqi
  surname: Sun
  fullname: Sun, Weiqi
  email: weiqisun@tongji.edu.cn
  organization: School of Automotive Studies, Tongji University,Shanghai,China
– sequence: 8
  givenname: Sihan
  surname: Chen
  fullname: Chen, Sihan
  email: sihan.chen@tongji.edu.cn
  organization: School of Automotive Studies, Tongji University,Shanghai,China
– sequence: 9
  givenname: Lu
  surname: Zhang
  fullname: Zhang, Lu
  email: 2131517@tongji.edu.cn
  organization: School of Automotive Studies, Tongji University,Shanghai,China
– sequence: 10
  givenname: Mengyue
  surname: Wan
  fullname: Wan, Mengyue
  email: 2033606@tongji.edu.cn
  organization: School of Automotive Studies, Tongji University,Shanghai,China
– sequence: 11
  givenname: Libo
  surname: Huang
  fullname: Huang, Libo
  email: huangl@zucc.edu.cn
  organization: School of Information and Electricity, Zhejiang University City College,Hangzhou,Zhejiang,China
– sequence: 12
  givenname: Jie
  surname: Bai
  fullname: Bai, Jie
  email: baij@zucc.edu.cn
  organization: School of Information and Electricity, Zhejiang University City College,Hangzhou,Zhejiang,China
BookMark eNotj81Kw0AURkfQhdY-gSDzAol3fu7kjruQ-FMpFNrsy6SZkQGbkUkq-PYW7OrjbM7hu2PXYxo9Y48CSiHAPq26XYMoNJQSpCytlRKVvWJLW5EwBrUhArhl2H3oduuGnZ-fec11y8_gMm_d7CY_85Ayr09zGtMxnSbe5vgTx897dhPc1-SXl12w7vWla96L9eZt1dTrIkpQc-FROAUVyh7PcaGNo9ALckCosBqMOmgC7EUgi0TO0sEHEwZAI5WqerVgD__a6L3ff-d4dPl3f_mi_gClV0CO
ContentType Conference Proceeding
DBID 6IE
6IH
CBEJK
RIE
RIO
DOI 10.1109/ITSC55140.2022.9922539
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Proceedings Order Plan (POP) 1998-present by volume
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP) 1998-present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 9781665468800
1665468807
EndPage 498
ExternalDocumentID 9922539
Genre orig-research
GrantInformation_xml – fundername: National Key R&D Program of China
  grantid: 2021YFB2501201
  funderid: 10.13039/501100012166
GroupedDBID 6IE
6IH
CBEJK
RIE
RIO
ID FETCH-LOGICAL-i203t-e51a30752b5539146a8fb18a085357d63c4805b1f89588a98cef6fd0562337b3
IEDL.DBID RIE
ISICitedReferencesCount 64
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000934720600077&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
IngestDate Thu Jan 18 11:13:38 EST 2024
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i203t-e51a30752b5539146a8fb18a085357d63c4805b1f89588a98cef6fd0562337b3
PageCount 6
ParticipantIDs ieee_primary_9922539
PublicationCentury 2000
PublicationDate 2022-Oct.-8
PublicationDateYYYYMMDD 2022-10-08
PublicationDate_xml – month: 10
  year: 2022
  text: 2022-Oct.-8
  day: 08
PublicationDecade 2020
PublicationTitle 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
PublicationTitleAbbrev ITSC
PublicationYear 2022
Publisher IEEE
Publisher_xml – name: IEEE
Score 2.2454076
Snippet The next-generation high-resolution automotive radar (4D radar) can provide additional elevation measurement and denser point clouds, which has great potential...
SourceID ieee
SourceType Publisher
StartPage 493
SubjectTerms Object detection
Point cloud compression
Radar
Radar detection
Radar measurements
Radar tracking
Three-dimensional displays
Title TJ4DRadSet: A 4D Radar Dataset for Autonomous Driving
URI https://ieeexplore.ieee.org/document/9922539
WOSCitedRecordID wos000934720600077&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1NSwMxEB3a4sGTSit-k4NHt93dbDaJt9K1qEgpdpHeSrJJoJdW1tTf72S7KIIXb0kIhMkweTPJvAnArdBGaQSKSEqto6wSMdqcw8NQ0MQpYThvWPxvL3w2E8ulnHfg7psLY61tks_sMDSbt3yzrXbhqmwUaqgyKrvQ5ZzvuVot6TeJ5eipXEwC_scY9aXpsJ3869eUBjSmR_9b7hgGP-w7Mv_GlRPo2E0fWPmcFa_KLKy_J2OSFQQ7qiaF8ohDnqDvScY7HygKGMuTol6Hm4IBlNOHcvIYtV8eROs0pj6yLFFodSzVDFfGU0wJpxOh0DGijJucVpmImU6ckEwIJUVlXe5M48VQrukp9DbbjT0DQo2jVY7ORx5S8bgWLlQacjqU_EIdZOfQDxKv3vdFLVatsBd_D1_CYdjUffLbFfR8vbPXcFB9-vVHfdNo4gvw64iW
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1NSwMxEB1qFfSk0orf5uDRbXc3yW7irXQtrdZS7CK9lWSTQC-trKm_32S7VAQv3pIQCJNhMm-SeROAeyaVkM5RBJxLGZCChc7mjDsMGY6MYCpNKxb_-zidTNh8zqcNeNhxYbTWVfKZ7vhm9Zav1sXGX5V1fQ1Vivke7FNC4mjL1qppv1HIu6N81vcIIHRxXxx36um__k2p3Mbg-H8LnkD7h3-HpjvPcgoNvWoBzZ9J9ibUTNtH1EMkQ64jSpQJ6zyRRQ59ot7GepKCi-ZRVi79XUEb8sFT3h8G9acHwTIOsQ00jYSzOxpL6lZ255hgRkZMOGiEaaoSXBAWUhkZxiljgrNCm8SoCsfgVOIzaK7WK30OCCuDi8TBj8Qn46WSGV9ryEhf9MtpgVxAy0u8-NiWtVjUwl7-PXwHh8P8dbwYjyYvV3DkN3ibCncNTVtu9A0cFF92-VneVlr5BkGZi90
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2022+IEEE+25th+International+Conference+on+Intelligent+Transportation+Systems+%28ITSC%29&rft.atitle=TJ4DRadSet%3A+A+4D+Radar+Dataset+for+Autonomous+Driving&rft.au=Zheng%2C+Lianqing&rft.au=Ma%2C+Zhixiong&rft.au=Zhu%2C+Xichan&rft.au=Tan%2C+Bin&rft.date=2022-10-08&rft.pub=IEEE&rft.spage=493&rft.epage=498&rft_id=info:doi/10.1109%2FITSC55140.2022.9922539&rft.externalDocID=9922539