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Updated: Feb 14, 2026

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在LIDAR退化的环境中,基于卡尔曼波器的自适应SLAM

Ran Ma1, Tao Zhou1, Liang Chen1

  • 1State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
概括

本研究介绍了使用自适应卡尔曼波器 (AKF) 和颗粒波器 (PF) 的移动机器人改进的同时定位和映射 (SLAM) 方法. 新方法显著提高了在充满挑战的环境中定位准确度.

关键词:
这是一个2D LiDAR.斯拉姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯兰姆斯适应式卡尔曼波器 适应式卡尔曼波器颗粒过器的粒子过器

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