W-VSLAM:

Dingji Luo1, Yucan Huang1, Xuchao Huang1

  • 1School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.

Sensors (Basel, Switzerland)
|September 14, 2024
PubMed
概括

这项研究引入了一种视觉SLAM方法,将室内机器人的轮距计集成在一起,显著提高了绘图准确度. 增强的视觉同步定位和映射 (SLAM) 系统在机器人姿势估计中实现了卓越的精度,用于自主导航.