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Modeling of Laneway Environment and Locating Method of Roadheader Based on Self-Coupling and Hector SLAM

机译:基于自耦合和Hector SLAM的巷道环境建模与掘进机定位方法

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The method of laneway environment modeling and roadheader positioning based on Self-coupling and HectorSLAM was proposed to solve the problems of difficult extraction of environmental information of coal mine laneway and difficult determination of the position of roadheader and realization of autonomous mobilization of mine roadheader. The optimality of HectorSLAM was verified by experiments, and the deficiencies were pointed out. Then the self - coupling HectorSLAM algorithm was proposed. Finally, the self-coupling and Hector SLAM algorithms were run in ROS system. Environmental modeling of coal mine laneway was completed. The shaft bottom visualization positioning function of roadheader was realized. The comparative experiment proves that: Compared with the original algorithm, the self-coupling and Hector SLAM algorithms were more adaptive and more accurate in the simulated laneway environment.
机译:提出了一种基于自耦合和HectorSLAM的巷道环境建模与掘进机定位方法,解决了煤矿巷道环境信息提取困难,掘进机位置确定,实现矿山掘进机自主动员的难题。通过实验验证了HectorSLAM的最优性,指出了不足之处。然后提出了自耦合HectorSLAM算法。最后,在ROS系统中运行了自耦合和Hector SLAM算法。完成了煤矿巷道环境建模。实现了掘进机井下可视化定位功能。对比实验证明:与原始算法相比,自耦合和Hector SLAM算法在模拟巷道环境中具有更高的自适应性和准确性。

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