Research on Occupancy Grid Map Creation Method Based on RPBF-SLAM

Zhao Liang, Weiguang Shi, Shenghao Zhou, Junwei Chen
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Abstract

In this paper, the traditional RPBF-SLAM algorithm improves the particle sampling stage, resampling stage and map construction stage, and proposes an offline grid map resolution optimization scheme, which improves the map resolution while ensuring the real-time nature of the algorithm.
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基于RPBF-SLAM的占用网格地图创建方法研究
本文在传统RPBF-SLAM算法的基础上,对粒子采样阶段、重采样阶段和地图构建阶段进行改进,提出了离线网格地图分辨率优化方案,在保证算法实时性的同时提高了地图分辨率。
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