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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Vydané v:	IEEE sensors journal Ročník 25; číslo 15; s. 28144 - 28155
Hlavní autori:	Chen, Yanyang, Zhang, Xilong, Huang, Xiaotao, He, Honjie, Feng, Sang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.08.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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