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Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3609911
Abstract: LiDAR-based simultaneous localization and mapping (SLAM) methods that rely solely on geometric features often fail in degraded environments with sparse or ambiguous structures. We present RTS-SLAM, a visually semantic-enhanced, tightly coupled SLAM framework that integrates…
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Keywords:
rts slam;
tightly coupled;
semantic enhanced;
slam robust ... See more keywords
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Published in 2025 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2025.3612196
Abstract: LiDAR simultaneous localization and mapping (SLAM) technology plays a critical role in applications such as 3-D mapping and autonomous navigation. However, most existing SLAM systems are built on the assumption of a static environment, which…
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Keywords:
loop closure;
odometry;
slam;
semantic enhanced ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3185320
Abstract: In the research on image captioning, rich semantic information is very important for generating critical caption words as guiding information. However, semantic information from offline object detectors involves many semantic objects that do not appear…
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Keywords:
information;
semantic information;
adaptive semantic;
semantic enhanced ... See more keywords