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1. 1. Improving a Background Model for Tracking and Classification of Objects in LiDAR 3D Point Clouds

   University essay from Lunds universitet/Matematik LTH

   Author : Seamus Doyle; Gustav Nilsson; [2022]
   Keywords : LiDAR; Semantic Segmentation; Neural Networks; RandLA-NET; 3D Point Cloud; Gaussian Process Regression; Robust Locally Weighted Regression; CARLA; Ground Model; Technology and Engineering;

   Abstract : This thesis studied methods of improving a background model for a data processing pipeline of LiDAR point clouds. For this, two main approaches were evaluated. The first was to implement and compare three different models for detecting ground in a point cloud. These were based on more classical modeling approaches. READ MORE