Wahyuning Ajeng Arfiatin

A DGCNN-Based Framework for Indoor Object Classification Using Sparse 2D LiDAR Point Clouds

Object classification using two-dimensional Light Detection and Ranging (2D LiDAR) remains challenging because the resulting point clouds are sparse, irregular, and unordered. This study investigates a Dynamic Graph Convolutional Neural Network (DGCNN)-based framework for classifying indoor objects from sparse 2D LiDAR...