Streetlamp Extraction And Identification From Mobile Lidar Point Cloud Scenes

To solve the problem of streetlamp extraction and category identification from mobile LiDAR data in urban scenes, an algorithm based on streetlamp sample has been raised. Firstly, based on morphological closing operation to extract the location of suspected streetlamps; secondly, determine the scope of suspected streetlamps by the streetlamp sample parameters and extract the suspected streetlamp point cloud; thirdly, through pole and head matching to realize the alignment of streetlamp samples and suspected streetlamp point cloud; finally, realize the streetlamp judgment and extraction by establishing sample buffer. Experimental results show that the algorithm cannot only automatically extract streetlamp point cloud, but also be able to identify streetlamp category which is in accordance with the sample, achieving the rapid streetlamp extraction and recognition.