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Railway alignment optimization in regions with densely-distributed obstacles based on semantic topological maps.

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Title: Railway alignment optimization in regions with densely-distributed obstacles based on semantic topological maps.
Authors: Wan, Xinjie1,2, Pu, Hao1,2, haopu@csu.edu.cn, Schonfeld, Paul3, Song, Taoran1,2, Li, Wei1,2, Peng, Lihui4
Source: Integrated Computer-Aided Engineering; 2024, Vol. 31 Issue 4, p421-437, 17p
Database: Applied Science & Technology Source
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Header DbId: aci
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PubType: Academic Journal
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  Data: Railway alignment optimization in regions with densely-distributed obstacles based on semantic topological maps.
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        Value: 10.3233/ICA-240739
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 421
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      – TitleFull: Railway alignment optimization in regions with densely-distributed obstacles based on semantic topological maps.
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            NameFull: Pu, Hao
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              Text: 2024
              Type: published
              Y: 2024
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