August 11, 2025Applied SciencesOpen Access

Sem-SLAM: Semantic-Integrated SLAM Approach for 3D Reconstruction

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This method enhances 3D reconstruction by effectively integrating semantic information and geometric features, leading to improved accuracy.
Experimental results indicate that mapping and tracking accuracy significantly surpasses that of baseline methods, showing a marked improvement.
The system employs a multi-layer perceptron for extracting multi-scale features, which aids in high-quality information rendering.
These advancements in semantic segmentation point to new directions for enhancing SLAM technology, supporting real-time mapping tasks.

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This approach improves mapping accuracy in SLAM systems using semantic features and neural networks.

Liu et al. (2025) studied this question.

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