SEGL-SLAM: A Visual SLAM With Segformer Segmentation and Line Features Enhancement in Dynamic Environments

Visual simultaneous localization and mapping (VSLAM) is a crucial technology for autonomous navigation in robotics and remains a prominent area of research. The presence of dynamic objects significantly impacts the localization accuracy of visual SLAM systems, particularly traditional systems that r...

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Veröffentlicht in:	IEEE sensors journal Jg. 25; H. 15; S. 28144 - 28155
Hauptverfasser:	Chen, Yanyang, Zhang, Xilong, Huang, Xiaotao, He, Honjie, Feng, Sang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Aerodynamics Algorithms Autonomous navigation Dynamic environment Feature extraction Heuristic algorithms line feature detection Localization Optical flow RGB-D sensor Robotics Robustness Semantic segmentation Semantics Simultaneous localization and mapping Vehicle dynamics visual simultaneous localization and mapping (VSLAM)
ISSN:	1530-437X, 1558-1748
Online-Zugang:	Volltext
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