5 filters to find measurement error in Laserscanners

Here are the 6 filters with which you can find measurment errors in laserscanners such as the

  1. Mixed Pixels Filtering. Based on the Change in Reflectivity (supports laserscanners which are able to provide the information about the reflectivity.)
  2. Mixed Pixels Filtering Based on the Regions of Interest (This filter provides provides an extension to the point clouds. Computationally demanding.)
  3. Mixed Pixels Filtering With the Usage of EKF (Possibility to use verified hypothesis gives an advantage within the other data processing, e.g. data segmentation, features’ extraction, etc.)
  4. Measurements Filtering With the Usage of Moving Average (Good as it needs only small amount of data. However, this filter corrupts the sharp boundaries between two objects.)
  5. Measurements Filtering With the Usage of Weighted Moving Average (Its advantage is the possibility to change the emphasis on the various measurmments. Therefore, it does not corrupt the sharp boundaries between two objects as it is with the standard moving average. Computationally demanding.)