Sökning: "probabilistic localization"

Hittade 4 uppsatser innehållade orden probabilistic localization.

  1. 1. Localization For AutonomousDriving using Statistical Filtering : A GPS aided navigation approach with EKF and UKF

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

    Författare :Devrat Singh; [2022]
    Nyckelord :Land Vehicle Localization; Sensor Fusion; GNSS-INS Fusion; UKF; EKF;

    Sammanfattning : A critical requirement for safe autonomous driving is to have an accurate state estimate of thevehicle. One of the most ubiquitous yet reliable ways for this task is through the integrationof the onboard Inertial Navigation System (INS) and the Global Navigation Satellite System(GNSS). LÄS MER

  3. 2. Machine Learning for LiDAR-SLAM : In Forest Terrains

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Anton Hjert; [2021]
    Nyckelord :SLAM; Point set registration; Scan correction; Simultaneous localization and mapping; AdaBound;

    Sammanfattning : Point set registration is a well-researched yet still not a very exploited area in computer vision. As the field of machine learning grows, the possibilities of application expand. LÄS MER

  4. 3. Multi-Factor Mobile based Access Control Solution

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :August Larsson; Alvin Ohlsson; [2020]
    Nyckelord :Indoor positioning Wi-Fi Fingerprinting Magnetic Fingerprinting; Technology and Engineering;

    Sammanfattning : In this thesis, alternatives for replacing an RFID card + PIN based access controlsolution for office buildings with a mobile applications are evaluated. The proposedsolutions are based on a probabilistic fingerprinting approach where distributionsof RSSI are approximated and stored in a fingerprint database during an initialoffline phase. LÄS MER

  5. 4. 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