Sökning: "Rao-Blackwellized Particle Filter"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden Rao-Blackwellized Particle Filter.

  1. 1. Terrain Referenced Navigation with Path Optimization : Optimizing Navigation Accuracy by Path Planning

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

    Författare :Martin Gelin; [2022]
    Nyckelord :Terrain Referenced Navigation; Localization; Particle Filter; Rao-Blackwellized Particle Filter; Kalman Filter; Path Planning; Terrängbaserad navigering; Lokalisering; Partikelfilter; Rao-Blackwelliserat partikelfilter; Kalmanfilter; Banplanering;

    Sammanfattning : Terrain referenced navigation is a method of navigation that uses measurements of altitude above ground to infer the position of the vehicle, mainly aerial or underwater. This method provides an alternative to the commonly used satellite-based navigation. LÄS MER

  2. 2. Underwater Rao-Blackwellized Particle Filter SLAM using Stochastic Variational Gaussian Processes maps

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

    Författare :Stine Olsson; [2021]
    Nyckelord :AUV; RBPF; SVGP; SLAM; MBES; AUV; RBPF; SVGP; SLAM; MBES;

    Sammanfattning : In this thesis, we introduce a Rao-Blackwellized Particle Filter (RBPF) for the algorithm Simultaneously Localizing and Mapping (SLAM) to be used on an Autonomous Underwater Vehicle (AUV) with a Stochastic Variational Gaussian Process (SVGP) algorithm. With a positive result, the combination was proven to be working. LÄS MER

  3. 3. Simultaneous Localization and Mapping of a small-scale vehicle using low-cost IMU, optical wheel encoders and LiDAR

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

    Författare :Niklas Brusén; [2019]
    Nyckelord :;

    Sammanfattning : This thesis explores and investigates the usage of a low cost six Degrees ofFreedom Inertial Measurement Unit, low cost photo-electric wheel encodersand one of the cheapest available single-band Light Detection and Rangingsensor to estimate the orientation and position of a small scale vehicle. Furthermore,we develop a Simultaneous Localization and Mapping approach forour sensor suite. LÄS MER

  4. 4. Building an Efficient Occupancy Grid Map Based on Lidar Data Fusion for Autonomous driving Applications

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

    Författare :Marwan Salem; [2019]
    Nyckelord :Autonomous Driving; Occupancy Grids; Bayesian Inference; Lidar; SLAM; Rao-Blackwellized Particle Filter; Sensor Fusion; GPU;

    Sammanfattning : The Localization and Map building module is a core building block for designing an autonomous vehicle. It describes the vehicle ability to create an accurate model of its surroundings and maintain its position in the environment at the same time. LÄS MER

  5. 5. A Combined Approach for Object Recognition and Localisation for an Autonomous Racecar

    Master-uppsats, KTH/Maskinkonstruktion (Inst.)

    Författare :Jonathan Cressell; Isac Törnberg; [2018]
    Nyckelord :;

    Sammanfattning : With autonomous vehicles being a hot topic for research it has also become an interest in theworld of motor sport. To be able to run a vehicle autonomously it needs to know what the currentpose of the vehicle is and what the environment looks like. LÄS MER