Sept. 28, 2022, 1:15 a.m. | Chi-Ming Chung, Yang-Che Tseng, Ya-Ching Hsu, Xiang-Qian Shi, Yun-Hung Hua, Jia-Fong Yeh, Wen-Chin Chen, Yi-Ting Chen, Winston H. Hsu

cs.CV updates on arXiv.org arxiv.org

A spatial AI that can perform complex tasks through visual signals and
cooperate with humans is highly anticipated. To achieve this, we need a visual
SLAM that easily adapts to new scenes without pre-training and generates dense
maps for downstream tasks in real-time. None of the previous learning-based and
non-learning-based visual SLAMs satisfy all needs due to the intrinsic
limitations of their components. In this work, we develop a visual SLAM named
Orbeez-SLAM, which successfully collaborates with implicit neural
representation …

arxiv features mapping nerf real-time slam visual slam

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