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HySA-Aug: Hybrid scenario-adaptive augmentation for diverse and accurate motion prediction.

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Title: HySA-Aug: Hybrid scenario-adaptive augmentation for diverse and accurate motion prediction.
Authors: Lu, Ziheng1, 2112204019@stmail.ujs.edu.cnluziheng97@foxmail.com, Cai, Yingfeng1, 1000004192@ujs.edu.cn, Wang, Hai1,2, wanghai1019@163.com, Sun, Xiaoqiang1, sunxqujs@126.com, Chen, Long1, chenlong@ujs.edu.cn
Source: Transportation Research Part C: Emerging Technologies; Apr2026, Vol. 185, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191982926
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Transportation+Research+Part+C%3A+Emerging+Technologies%22">Transportation Research Part C: Emerging Technologies</searchLink>; Apr2026, Vol. 185, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191982926
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.trc.2026.105588
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      – Code: eng
        Text: English
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      – TitleFull: HySA-Aug: Hybrid scenario-adaptive augmentation for diverse and accurate motion prediction.
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            NameFull: Lu, Ziheng
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            NameFull: Cai, Yingfeng
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            NameFull: Wang, Hai
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            NameFull: Sun, Xiaoqiang
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            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
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              Value: 185
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