An example of an Octomap created with the additional semantic information. The recording was sped up 10x to show the complete mapping process. An additional semantic information can be valuable in ...

I implemented a semantic segmentation by using an encoder-decoder neural network based on the U-Net architecture with VGG16 as the encoder. This model was specifically developed for rover-based lunar ...

Book Abstract: Latent semantic mapping (LSM) is a generalization of latent semantic analysis (LSA), a paradigm originally developed to capture hidden word patterns in a text document corpus. In ...

Abstract: Visual Simultaneous Localization and Mapping (vSLAM) is a cornerstone technology in computer vision and robotics, underpinning applications such as autonomous vehicles and robot navigation.

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