Sökning: "Moving object detection"
Visar resultat 1 - 5 av 58 uppsatser innehållade orden Moving object detection.
1. Solar Panel Protectionfrom Birds and Land Animals
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för matematik och naturvetenskapSammanfattning : Context: Nowadays, there are many sources to generate electricity, but most of the resources used are not renewable. Among the renewable energies generated, solar power is one of the best. However, solar panels need to be protected from birds and other animals, which can cause damage. LÄS MER
2. MISK-Moves
Kandidat-uppsats, Lunds universitet/Certec - Rehabiliteringsteknik och DesignSammanfattning : Move-to-play is a musical instrument for persons with both cognitive and physical impairments, who would have trouble playing traditional instruments. Everyone, no matter their abilities, are given the chance to play and control music by moving their own body. LÄS MER
3. Velocity Obstacle method adapted for Dynamic Window Approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis project is part of an internship at Visual Behavior. The company aims at producing computer vision models for robotics, helping the machine to better understand the world through the camera eye. The image holds many features that deep learning models are able to extract: navigable area, depth inference and object detection. LÄS MER
4. Arbitrary motion Synthetic Aperture Radar
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : 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
5. Federated Learning for edge computing : Real-Time Object Detection
Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : In domains where data is sensitive or private, there is a great value in methods that can learn in a distributed manner without the data ever leaving the local devices. Federated Learning (FL) has recently emerged as a promising solution to collaborative machine learning challenges while maintaining data privacy. LÄS MER