May 14, 2024, 4:47 a.m. | Yuhao Zhang

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.07392v1 Announce Type: cross
Abstract: Accurate and robust camera tracking in dynamic environments presents a significant challenge for visual SLAM (Simultaneous Localization and Mapping). Recent progress in this field often involves the use of deep learning techniques to generate mask for dynamic objects, which usually require GPUs to operate in real-time (30 fps). Therefore, this paper proposes a novel visual SLAM system for dynamic environments that obtains real-time performance on CPU by incorporating a mask prediction mechanism, which allows the …

abstract arxiv challenge cs.cv cs.ro deep learning deep learning techniques dynamic environments generate gpu gpus localization mapping objects progress real-time robust slam tracking type visual visual slam

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