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Updated: Jul 15, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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MoTI:在SLAM中进行移动对象识别的多阶段算法

Changqing Hu1, Manlu Liu1,2, Su Zhang3

  • 1School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China.

Sensors (Basel, Switzerland)
|September 28, 2023
PubMed
概括

本研究介绍了多阶段移动物体识别算法 (MoTI),以提高同时定位和映射 (SLAM) 的准确性. 通过激光和视觉数据的融合,MoTI有效地检测动态物体,增强机器人在复杂环境中的机器人定位.

关键词:
在 SLAM 算法中,移动物体检测 移动物体检测多传感器融合融合技术处理点云的点云处理.

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Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
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