EMGU-WPF LIDAR Research-positioning implementation

Original: EMGU-WPF LiDAR research-positioning implementation

The location of a particular position or obstacle is achieved.

Read the LiDAR data and store it locally as test data. Each frame data has the deviation to the location information of the same obstacle. So we first sampled the points that needed to be located. During the sampling process, data loss is encountered, or multiple obstructions are detected (obstructions that do not meet the Obstacle survival index are not drawn in the UI interface), the sampled data is discarded, the sampling is restarted, and the sample count is sufficient to perform a mean point calculation.

After the mean calculation is performed, the computed point information is saved to the configuration file and drawn in the UI interface to reload the test data. The algorithm is more successful to remove the location noise data.

Locating data is plotted and re-measured as follows:

Based on

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EMGU-WPF LIDAR Research-positioning implementation