An Improved YOLOv10 and DeepSORT Algorithm for Pedestrian Detection and Tracking in Crowd Navigation
In indoor crowd navigation, quickly and accurately acquiring the kinematic data of pedestrians within a robot’s field of view is a crucial factor determining success. Existing indoor pedestrian tracking methods have limitations in accuracy and real-time performance. To address these issues, a lightw...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI AG
2026-04-01
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| Edice: | Algorithms |
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| On-line přístup: | https://www.mdpi.com/1999-4893/19/4/274 |
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