LiDAR Pedestrian Detector and Semi-Automatic Annotation Tool for Labeling of 3D Data
The goal of this Master's Thesis is to successfully detect and classify humans in a LiDAR data stream. The focus of the Thesis is on the detection and classification, not on the LiDAR technology. To classify humans machine learning was used and to train the machine learning model we collected our own data and annotated it. A custom software was made for speeding up the annotation process.