Sökning: "Photon Counting LiDAR"

Hittade 5 uppsatser innehållade orden Photon Counting LiDAR.

  1. 1. Point Cloud Registration using both Machine Learning and Non-learning Methods : with Data from a Photon-counting LIDAR Sensor

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Maja Boström; [2023]
    Nyckelord :Point Cloud Registration; Machine Learning; Photon-counting LIDAR; Iterative Closest Point;

    Sammanfattning : Point Cloud Registration with data measured from a photon-counting LIDAR sensor from a large distance (500 m - 1.5 km) is an expanding field. Data measuredfrom far is sparse and have low detail, which can make the registration processdifficult, and registering this type of data is fairly unexplored. LÄS MER

  3. 2. Deep Learning Semantic Segmentation of 3D Point Cloud Data from a Photon Counting LiDAR

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Caspian Süsskind; [2022]
    Nyckelord :Deep Learning; Machine Learning; Computer vision; Semantic Segmentation; Photon Counting LiDAR; LiDAR; Point Cloud; 3D Data; Point Cloud Segmentation; Point Classification; Convolutional Neural Network; CNN; SPVCNN; Djupinlärning; LiDAR; fotonräknande LiDAR; semantisk segmentering; datorseende; punktmoln; maskininlärning;

    Sammanfattning : Deep learning has shown to be successful on the task of semantic segmentation of three-dimensional (3D) point clouds, which has many interesting use cases in areas such as autonomous driving and defense applications. A common type of sensor used for collecting 3D point cloud data is Light Detection and Ranging (LiDAR) sensors. LÄS MER

  4. 3. Segmentation of People and Vehicles in Dense Voxel Grids from Photon Counting LiDAR using 3D-Unet

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Fredrik Danielsson; [2021]
    Nyckelord :Deep Learning; LiDAR; Segmentation; Dense Voxel Grids; Single Photon Counting; Machine Learning; 3D U-Net; Convolutional Neural Network;

    Sammanfattning : In recent years, the usage of 3D deep learning techniques has seen a surge,mainly driven by advancements in autonomous driving and medical applications.This thesis investigates the applicability of existing state-of-the-art 3Ddeep learning network architectures to dense voxel grids from single photoncounting 3D LiDAR. LÄS MER

  5. 4. 3D Imaging Using Photon Counting Lidar on a Moving Platform

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Joakim Ekström; [2018]
    Nyckelord :SLAM; Lidar; ICP;

    Sammanfattning : The problem of constructing high quality point clouds based on measurements from a moving and rotating single-photon counting lidar is considered in this report. The movement is along a straight rail while the lidar sensor rotates side to side. The point clouds are constructed in three steps, which are all studied in this master’s thesis. LÄS MER

  7. 5. Automatic Registration of Point Clouds Acquired by a Sweeping Single-Pixel TCSPC Lidar System

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för visuell information och interaktion

    Författare :Mattias Mejerfalk; [2017]
    Nyckelord :point cloud; k-4pcs; tcspc;

    Sammanfattning : This project investigates an image registration process, involving a method known as K-4PCS. This registration process was applied to a set of 16 long range lidar scans, acquired at different positions by a single pixel TCSPC (Time Correlated Single-Photon Counting) lidar system. LÄS MER