An entropy analysis-based window size optimization scheme for merging lidar data frames

HIGHLIGHTS

• who: Taesik Kim et al. from the Department of Civil Engineering, Hongik University, Seoul, Republic of Korea have published the research: An Entropy Analysis-Based Window Size Optimization Scheme for Merging LiDAR Data Frames, in the Journal: Sensors 2022, 9293 of /2022/
• what: The authors propose a merging scheme for the LiDAR data frames to improve the accuracy by using the movement of the moving object. This approach attempts to find point matches between two images from different sources with different viewpoints and scales.
• how: A road segmentation-based curb detection method was . . .
  

   

  

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