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InCrowd-VI：用于评估室内人流密集空间中 SLAM 的现实视觉惯性数据集以实现人类导航

💡 原文中文，约700字，阅读约需2分钟。

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内容提要

本研究提出了InCrowd-VI数据集，旨在解决拥挤空间中SLAM解决方案开发的困难。该数据集专为室内行人导航设计，提供丰富的场景数据，揭示现有算法在复杂环境中的性能限制，强调SLAM研究在视觉障碍者导航中的重要性。

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