Sökning: "Monte-Carlo Localization"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden Monte-Carlo Localization.

  1. 1. Monte Carlo Localization with Hilbert maps as Likelihood Fields

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

    Författare :ALEXANDER WALLÉN KIESSLING; [2023]
    Nyckelord :Localization; Monte Carlo; Mapping; Hilbert maps; Observation Likelihood model.; Lokalisering; Monte Carlo; Kartläggning; Hilbert kartor; Sensor modell.;

    Sammanfattning : This work focuses on using sparse Hilbert maps as continuous likelihood field observation models, instead of utilizing traditional beam observation models. This observation model is integrated with a Monte Carlo Localization scheme, and localization is simulated in randomly generated 2D mazes. LÄS MER

  3. 2. Study of hole mobility in amorphous polyethylene via kinetic Monte Carlo methods

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Hannes Aspåker; [2022]
    Nyckelord :;

    Sammanfattning : This thesis presents a study of hole mobility in amorphous polyethylene using kinetic Monte Carlo (KMC) methods together with a novel chain segmentation model developed by Unge and Nilsson, which determines hole localization sites based on torsion angles along the polymer chain. An extension to the KMC algorithm was developed which improves performance by modelinground-trips between strongly interconnected localization sites. LÄS MER

  4. 3. Map-aided localization for autonomous driving using a particle filter

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

    Författare :Simon Eriksson; [2020]
    Nyckelord :Particle filter; Monte Carlo filter; Gaussian noise; Bayesian estimation; probabilistic localization; autonomous vehicles; Scania; OpenStreetMap; Partikelfilter; Monte Carlo-filter; Gaussiskt brus; Bayesisk uppskattning; sannolikhetsbaserad lokalisering; autonoma fordon; Scania; OpenStreetMap;

    Sammanfattning : Vehicles losing their GPS signal is a considerable issue for autonomous vehicles and can be a danger to people in their vicinity. To circumvent this issue, a particle filter localization technique using pre-generated offline Open Street Map (OSM) maps was investigated in a software simulation of Scania’s heavy-duty trucks. LÄS MER

  5. 4. Optimizing multi-robot localization with Extended Kalman Filter feedback and collaborative laser scan matching

    Master-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Fredrik Ginsberg; [2020]
    Nyckelord :;

    Sammanfattning : Localization is a critical aspect of robots and their industrial applications, with its major impact on navigation and planning. The goal of this thesis is to improve multi-robot localization by utilizing scan matching algorithms to calculate a corrected pose estimate using the robots' shared laser scan data. LÄS MER

  7. 5. Localization of eNodeBs with a Large Set of Measurements from Train Routers

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Simon Sundberg; [2019]
    Nyckelord :Localization; Positioning; LTE; eNodeB; base stations; Received Signal Strength; RSS;

    Sammanfattning : This master thesis investigates the possibility of locating LTE base stations, known as eNodeBs, using signal measurements collected by routers on trains. Four existing algorithms for transmitter localization are adopted: the centroid, strongest signal, Monte Carlo path loss simulation and power difference of arrival (PDoA) methods. LÄS MER