Research on Simultaneous Localization and Intrusion Detection Methodology for Intelligent Trains Based on Multisource Fusion
To achieve self-localization and collision warning for intelligent trains, a novel methodology for simultaneous localization and intrusion detection based on multisource fusion is proposed. The initial integration of LiDAR, inertial measurement unit (IMU), and point-cloud map data facilitates the de...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Control and Information Technology
2024-08-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2024.04.008 |
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