Essays about: "Lokalisering"

Showing result 1 - 5 of 131 essays containing the word Lokalisering.

  1. 1. GPS-oscillation-robust Localization and Visionaided Odometry Estimation

    University essay from KTH/Maskinkonstruktion (Inst.)

    Author : HONGYI CHEN; [2019]
    Keywords : Adaptive Extended Kalman Filter; Localization; Stereo visual odometry; GPS outage; Adaptivt förlängt Kalmanfilter; lokalisering; stereovisuell odometri; GPS avbrott;

    Abstract : GPS/IMU integrated systems are commonly used for vehicle navigation. The algorithm for this coupled system is normally based on Kalman filter. However, oscillated GPS measurements in the urban environment can lead to localization divergence easily. READ MORE

  2. 2. Proposal networks in object detection

    University essay from KTH/Matematisk statistik

    Author : Mikael Grossman; [2019]
    Keywords : Deep learning; Machine learning; Computer vision; Applied mathematics; Statistics; Artificial Neural Networks; Object detection; Faster R-CNN; RPN; Proposal Network; Maskininlärning; Neurala nätverk; Objektdetektering; Tillämpad matematik; Matematisk statistik; RPN; Förslags nätverk;

    Abstract : Locating and extracting useful data from images is a task that has been revolutionized in the last decade as computing power has risen to such a level to use deep neural networks with success. A type of neural network that uses the convolutional operation called convolutional neural network (CNN) is suited for image related tasks. READ MORE

  3. 3. Online Collaborative Radio-enhanced Visual-inertial SLAM

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Viktor Tuul; [2019]
    Keywords : ;

    Abstract : Simultaneous localization and mapping (SLAM) allows robots and other devices to localize and navigate in environments by using a map which itself generates. SLAM for single agent applications has matured and is showing promising results, thus the interest for collaborative SLAM has increased. READ MORE

  4. 4. Fashion Object Detection and Pixel-Wise Semantic Segmentation : Crowdsourcing framework for image bounding box detection & Pixel-Wise Segmentation

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Mallu Mallu; [2018]
    Keywords : Image-segmentation; Image-localization; object-recognition; image-annotation; bounding-box regression; semantic-segmentation; pixel-wise segmentation; convolutional neural networks.;

    Abstract : Technology has revamped every aspect of our life, one of those various facets is fashion industry. Plenty of deep learning architectures are taking shape to augment fashion experiences for everyone. There are numerous possibilities of enhancing the fashion technology with deep learning. READ MORE

  5. 5. A Multi-Target Graph-Constrained HMM Localisation Approach using Sparse Wi-Fi Sensor Data

    University essay from KTH/Optimeringslära och systemteori; KTH/Optimeringslära och systemteori

    Author : Simon Danielsson; Jakob Flygare; [2018]
    Keywords : Hidden Markov Model; Localisation; Wi-Fi Sensors; Forward-Backward Algorithm; Baum-Welch Algorithm; Machine Learning; Time Series Analysis.; Hidden Markov Model; Lokalisering; Wi-Fi Sensorer; Forward-Backward Algoritm; Baum-Welch Algoritm; Maskinlärning; Tidsserieanalys.;

    Abstract : This thesis explored the possibilities of using a Hidden Markov Model approach for multi-target localisation in an urban environment, with observations generated from Wi-Fi sensors. The area is modelled as a network of nodes and arcs, where the arcs represent sidewalks in the area and constitutes the hidden states in the model. READ MORE