Visial SLAM algorithm based on YOLOV8 in dynamic scenes

In order to solve the problem that the positioning accuracy of visual SLAM(Simultaneous Localization and Mapping) system is degraded due to the interference of dynamic objects in dynamic environment, this paper proposes a visual SLAM algorithm LYO-SLAM(Light-Weight YOLOv8-seg Optimized SLAM) based o...

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Veröffentlicht in:	2025 International Conference on Communication Networks and Smart Systems Engineering (ICCNSE) S. 192 - 196
Hauptverfasser:	Yichen, Shi, Bo, Sun, Mengyu, Sun, Peng, Wang, Bin, Wang, Ruohai, Di
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2025
Schlagworte:	Accuracy component: Visual SLAM Dynamic scene Feature extraction Heuristic algorithms Interference LSD algorithm Semantic segmentation Simultaneous localization and mapping Smart systems Target tracking Trajectory Visualization YOLOv8n
Online-Zugang:	Volltext
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