Deep Learning and Its Application in the Field of Rail Transit
Deep learning has shown great potential and advantage in feature extraction and image recognition. In recent years, more and more researches have focused on the application of deep learning in rail transit. It introduced the current state of deep learning and its application in the field of rail tra...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Control and Information Technology
2018-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2018.02.001 |
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| _version_ | 1849224740656381952 |
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| author | XIONG Qunfang LIN Jun LIU Yue YUAN Hao YOU Jun |
| author_facet | XIONG Qunfang LIN Jun LIU Yue YUAN Hao YOU Jun |
| author_sort | XIONG Qunfang |
| collection | DOAJ |
| description | Deep learning has shown great potential and advantage in feature extraction and image recognition. In recent years, more and more researches have focused on the application of deep learning in rail transit. It introduced the current state of deep learning and its application in the field of rail transit, including identification, driver fatigue detection, lane detection and vehicle recognition equipment fault detection. Additionally, it summarized the main functions and existing problems of deep learning in the field of rail transit, and presented some prospects of future work. |
| format | Article |
| id | doaj-art-880cfd80d81e4bf5a0fa5f56caf2b7cf |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2018-01-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-880cfd80d81e4bf5a0fa5f56caf2b7cf2025-08-25T06:55:13ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272018-01-01351682331142Deep Learning and Its Application in the Field of Rail TransitXIONG QunfangLIN JunLIU YueYUAN HaoYOU JunDeep learning has shown great potential and advantage in feature extraction and image recognition. In recent years, more and more researches have focused on the application of deep learning in rail transit. It introduced the current state of deep learning and its application in the field of rail transit, including identification, driver fatigue detection, lane detection and vehicle recognition equipment fault detection. Additionally, it summarized the main functions and existing problems of deep learning in the field of rail transit, and presented some prospects of future work.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2018.02.001deep learningrail transportationlane detectionvehicle equipment fault detection |
| spellingShingle | XIONG Qunfang LIN Jun LIU Yue YUAN Hao YOU Jun Deep Learning and Its Application in the Field of Rail Transit Kongzhi Yu Xinxi Jishu deep learning rail transportation lane detection vehicle equipment fault detection |
| title | Deep Learning and Its Application in the Field of Rail Transit |
| title_full | Deep Learning and Its Application in the Field of Rail Transit |
| title_fullStr | Deep Learning and Its Application in the Field of Rail Transit |
| title_full_unstemmed | Deep Learning and Its Application in the Field of Rail Transit |
| title_short | Deep Learning and Its Application in the Field of Rail Transit |
| title_sort | deep learning and its application in the field of rail transit |
| topic | deep learning rail transportation lane detection vehicle equipment fault detection |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2018.02.001 |
| work_keys_str_mv | AT xiongqunfang deeplearninganditsapplicationinthefieldofrailtransit AT linjun deeplearninganditsapplicationinthefieldofrailtransit AT liuyue deeplearninganditsapplicationinthefieldofrailtransit AT yuanhao deeplearninganditsapplicationinthefieldofrailtransit AT youjun deeplearninganditsapplicationinthefieldofrailtransit |