SeMLaPS: Real-Time Semantic Mapping with Latent Prior Networks and Quasi-Planar Segmentation

Wang Jingwen,Tarrio Juan Jose,Agapito Lourdes,Fernández Alcantarilla Pablo,Vakhitov Alexander

ICRA 2024（2024）

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摘要

The availability of real-time semantics greatly improves the core geometric functionality of SLAM systems, enabling numerous robotic and AR/VR applications. We present a new methodology for real-time semantic

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关键词

Semantic Scene Understanding,Mapping,SLAM

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