Sökning: "Radardata"

Visar resultat 1 - 5 av 26 uppsatser innehållade ordet Radardata.

  1. 1. Scene Reconstruction From 4D Radar Data with GAN and Diffusion : A Hybrid Method Combining GAN and Diffusion for Generating Video Frames from 4D Radar Data

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

    Författare :Alexandr Djadkin; [2023]
    Nyckelord :Deep generative models; Generative adversarial networks; Diffusion models; GAN; DGM; 4D imaging radar; Djupa generativa modeller; Generativa antagonistiska nätverk; Diffusionsmodeller; GAN; DGM; 4D-bildradar;

    Sammanfattning : 4D Imaging Radar is increasingly becoming a critical component in various industries due to beamforming technology and hardware advancements. However, it does not replace visual data in the form of 2D images captured by an RGB camera. LÄS MER

  2. 2. 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

  3. 3. Arbitrary motion Synthetic Aperture Radar

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Filip Alberius; Erik Rolander; [2023]
    Nyckelord :RADAR; SAR; Synthetic Aperture Radar; Pulsed Coherent Radar; PCR; VR; Virtual Reality; IMU; Inertial Measurment Unit; VAA; Virtual Antenna Array; Obstacle detection; Signal Processing; Matched Filter Method.; Technology and Engineering;

    Sammanfattning : Syftet med denna avhandling är att utveckla en ny metod för att producera bilder med syntetisk aperturradar (SAR), med utgångspunkt i scenarier med arbiträr rörelse vad gäller radarsensorn. SAR är en väletablerad metod för att skapa 2- eller 3-dimensionella radarbilder, som traditionellt sett antar att radar-sensorns rörelse är linjär och förutsägbar. LÄS MER

  4. 4. Real-time Human Detection using Convolutional Neural Networks with FMCW RADAR RGB data

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Anna Phan; Rogelio Medina; [2022]
    Nyckelord :Human Detection; Machine Learning; Convolutional Neural Networks; YOLO; FMCW Radar; Human Detection Evaluation; Människodetektering; Maskininlärning; Neurala faltningsnät; Djupa faltningsnät; YOLO; FMCW Radar; Utvärdering;

    Sammanfattning : Machine learning has been employed in the automotive industry together with cameras to detect objects in surround sensing technology. You Only Look Once is a state-of-the-art object detection algorithm especially suitable for real-time applications due to its speed and relatively high accuracy compared to competing methods. LÄS MER

  5. 5. The influence of spatial variations in rain intensity for cloudburst modelling : a case study of the Gävle cloudburst

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för geovetenskaper

    Författare :Fanny Jeppsson Stahl; [2022]
    Nyckelord :Flood modelling; pluvial flooding; spatial variations in rain intensity; design storms; MIKE 21 Flow Model FM; 2D hydraulic modelling; Skyfallsmodellering; pluviala översvämningar; spatiala variationer i regnintensitet; typregn; MIKE 21 Flow Model FM;

    Sammanfattning : With an intensification of heavy rain events in a changing climate and a rapid urbanization the risk for pluvial flooding is increasing in our societies. Pluvial flooding, which is formed when the rainfall rate exceeds the infiltration or drainage rate, can occur rapidly and cause great damages, large economic losses and possibly risk human lives. LÄS MER