Known occupancy grid map-based continuous laser SLAM composition positioning method
A technology that occupies a grid and a known map is applied in two-dimensional position/channel control, structured data retrieval, geographic information database, etc. Expansion and other issues to achieve the effect of improving positioning speed and efficiency
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[0026] Attached below Figure 1-2 The present invention is further described.
[0027] The present invention provides a continuous laser SLAM composition positioning method based on known maps, such as figure 1 shown, including the following steps:
[0028] Step S1, load the pre-built occupancy grid map file to the mobile robot, and the occupancy grid map is one of the most commonly used map formats in laser SLAM.
[0029] Step S2, within the scope of the known map (the aforementioned preloaded occupancy grid map, hereinafter referred to as the known map), based on the Monte Carlo particle filter method, realize the global rough positioning of the mobile robot, and output the robot state vector X, the specific steps are as follows figure 2 Shown:
[0030] Particle swarm initialization: initialize the particle swarm within the known map range, and randomly generate the particle state X i (i=1~n, n is the total number of particles), and uniform particle weight
[0031] M...
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