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DA-IRRK:在视觉SLAM中进行后端优化的数据适应性代重量化强大的基于内核的方法

Zhimin Hu1, Lan Cheng1, Jiangxia Wei1

  • 1Electrical and Power Engineering, Yingxi Campus, Taiyuan University of Technology, No. 79 Yingze West Street, Wanbailin District, Taiyuan 030024, China.

Sensors (Basel, Switzerland)
|April 26, 2025
PubMed
概括

视觉同步定位和映射 (VSLAM) 的后端优化通过新的数据适应方法得到了改进. 这种方法通过更好地处理VSLAM系统中的非高斯式错误来提高轨迹的准确性.

关键词:
后端优化后端优化数据适应性的数据.循序渐进地重量化强大的核心.中位数绝对偏差的中位数视觉上的SLAM是什么意思

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