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Deep understanding of big geospatial data for self-driving: Data, technologies, and systems.

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Title: Deep understanding of big geospatial data for self-driving: Data, technologies, and systems.
Authors: Wang, Haiyan1, imwhyy@std.uestc.edu.cn, Feng, Jiaming1, jiamingvon@std.uestc.edu.cn, Li, Ke1, like_like@std.uestc.edu.cn, Chen, Lisi1, lchen012@e.ntu.edu.sg
Source: Future Generation Computer Systems; Dec2022, Vol. 137, p146-163, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 158957222
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.future.2022.07.003
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 146
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      – TitleFull: Deep understanding of big geospatial data for self-driving: Data, technologies, and systems.
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            NameFull: Wang, Haiyan
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            NameFull: Feng, Jiaming
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            NameFull: Li, Ke
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            – D: 01
              M: 12
              Text: Dec2022
              Type: published
              Y: 2022
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              Value: 137
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