Sökning: "navigation techniques"

Visar resultat 1 - 5 av 117 uppsatser innehållade orden navigation techniques.

1. 1. Evaluation of Geopositioning Using Frequency Responses From Radio Propagation Measurements

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

   Författare :Jessica Ye; Johan Lesko; [2023]
   Nyckelord :;

   Sammanfattning : Satellite reliant navigation systems may struggle in urban environments as tall buildings mayobstruct necessary direct lines of sight with satellites. There have been multiple studiesexamining how WIFI fingerprinting may be used for indoor positioning. LÄS MER

3. 2. Comparison and performance analysis of deep learning techniques for pedestrian detection in self-driving vehicles

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Raahitya Botta; Aditya Aditya; [2023]
   Nyckelord :Artificial Intelligence AI ; Dataset; Deep learning; Object detection; Pedestrian detection; Performance analysis; Self-driving vehicles.;

   Sammanfattning : Background: Self-driving cars, also known as automated cars are a form of vehicle that can move without a driver or human involvement to control it. They employ numerous pieces of equipment to forecast the car’s navigation, and the car’s path is determined depending on the output of these devices. LÄS MER

4. 3. Quantum Reinforcement Learning for Sensor-Assisted Robot Navigation Tasks

   Master-uppsats, Lunds universitet/Fysiska institutionen

   Författare :Joyce Cobussen; [2023]
   Nyckelord :Physics and Astronomy;

   Sammanfattning : Quantum computing has advanced rapidly throughout the past decade, both from a hardware and software point of view. A variety of algorithms have been developed that are suitable for the current generation of quantum devices, which are referred to as noisy intermediate-scale quantum devices. LÄS MER

5. 4. 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

7. 5. Towards Navigational Aids using Augmented Reality for People with Alzheimer’s Disease in Outdoor Environments : A user study using HoloLens 2 around a University campus

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

   Författare :Léa Prémont; [2023]
   Nyckelord :Augmented reality; Alzheimer’s disease; Navigation; Assistive technology; HoloLens 2; Optical See-Through; Localization; Kalman filter; Hologram; TLX; SUS; Réalité augmentée; Alzheimer; Navigation; Technologie d’assistance; HoloLens 2; Optical See-Through; Localisation; Filtre de Kalman; Hologramme; TLX; SUS; Förstärkt verklighet; Alzheimers sjukdom; Navigering; Tekniska hjälpmedel; HoloLens 2; Optisk genomskinlighet; Lokalisering; Kalman-filter; Hologram; TLX; SUS;

   Sammanfattning : This paper investigates the potential of augmented reality (AR) as a navigational aid for individuals with Alzheimer’s disease (AD), offering innovative solutions to the evolving challenges of AD care. As the disease progresses, patients often require more assistance and may transition to care centers, resulting in reduced independence. LÄS MER