Sökning: "depth-camera"

Visar resultat 1 - 5 av 32 uppsatser innehållade ordet depth-camera.

  1. 1. MmWave Radar-based Deep Learning Collision Prediction

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

    Författare :Taylor Lauren V'dovec; [2023]
    Nyckelord :collision prediction; mmWave radar; deep learning; variational autoencoder VAE ; drone; autonomous navigation; kollisionsprognos; mmWave radar; djupinlärning; variational autoencoder VAE ; drönare; autonom navigation;

    Sammanfattning : Autonomous drone navigation in classical approaches typically involves constructing a map representation and employing path planning and collision checking algorithms within that map. Recently, novel deep learning techniques combined with depth camera observations have emerged as alternative approaches capable of achieving comparable collision-free performance. LÄS MER

  2. 2. Think inside the box : 3D bin packing visualized with spatial AR andautomated depth feedback

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

    Författare :Konrad Wihl; [2023]
    Nyckelord :Logistics; Augmented Reality; 3D bin packing; Logistik; Augmented Reality; 3D-lådpackning;

    Sammanfattning : In modern day logistics, small and medium sized consumer goods are often manually handled and packaged in fulfillment centres and warehouses. When time efficiency is prioritised, there exists the risk to pick too big a package and thus waste space which can naturally lead to unwanted consequences such as unnecessary transports being booked and excess package material being used. LÄS MER

  3. 3. Comparing Wrist Movement Analysis Technologies

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Markus Hanna; Anton Cajander; [2023]
    Nyckelord :Work-Related Musculoskeletal Disorders; Depth Camera; Intel RealSense D435i; Inertial Measurement Unit; MediaPipe Hands; Hand Tracking; Arbetsrelaterade muskuloskeletala sjukdomar; Djupkamera; Intel RealSense D435i; Inertial Mätenhet; MediaPipe Hands; Handspårning;

    Sammanfattning : The wrist is a body part that can be used during repetitive movements in many work environments. There is a need to measure these movements in order to notice harmful repetitive movements in advance. There are many different ways to measure these movements, such as with the use of a depth camera. LÄS MER

  4. 4. Comparison of camera data types for AI tracking of humans in indoor combat training

    Master-uppsats, Jönköping University/JTH, Avdelningen för datavetenskap

    Författare :Viktor Zenk; Willy Bach; [2022]
    Nyckelord :Artificial intelligence; Machine learning; Multiple object tracking; Object detection; NIR; Depth camera;

    Sammanfattning : Multiple object tracking (MOT) can be an efficient tool for finding patterns in video monitoring data. In this thesis, we investigate which type of video data works best for MOT in an indoor combat training scenario. The three types of camera data evaluated are color data, near-infrared (NIR) data, and depth data. LÄS MER

  5. 5. Noggrannhet inom projicerad förstärkt verklighet

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Richie Rizal; Raffi Bouyaji; [2022]
    Nyckelord :projected augmented reality; computer vision; augmented reality; depth-camera; projector; accuracy; pose detection; projicerad förstärkt verklighet; datorseende; förstärkt verklighet; djupkamera; projektor; noggrannhet; positionsuppskattning;

    Sammanfattning : Interaktiv projicerad förstärkt verklighet är ett delområde inom projicerad förstärktverklighet, där interaktiviteten handlar om att projicera virtuelldata på en entitet somär rörlig. Denna projektion kan åstadkommas genom att använda en kalibrerad projektor-djupkamerasystem som detekterar entitet med hjälp av datorseende. LÄS MER