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SeMLaPS: Real-time Semantic Mapping with Latent Prior Networks and Quasi-Planar Segmentation
We present a new methodology for real-time semantic mapping from RGB-D sequences that combines a 2D neural network and a 3D network based on a SLAM system with 3D occupancy mapping.
Self-Supervised Depth Completion for Active Stereo
Active stereo systems are used in many robotic applications that require 3D information.
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