Sökning: "object detection"

Visar resultat 1 - 5 av 247 uppsatser innehållade orden object detection.

  1. 1. Object Detection in Object Tracking System for Mobile Robot Application

    Master-uppsats, KTH/Matematisk statistik

    Författare :Alessandro Foa'; [2019]
    Nyckelord :;

    Sammanfattning : This thesis work takes place at the Emerging Technologies department of Volvo Construction Equipment(CE), in the context of a larger project which involves several students. The focus is a mobile robot built by Volvo for testing some AI features such as Decision Making, Natural Language Processing, Speech Recognition, Object Detection. LÄS MER

  2. 2. Region Proposal Based Object Detectors Integrated With an Extended Kalman Filter for a Robust Detect-Tracking Algorithm

    Master-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Författare :Gabriel Khajo; [2019]
    Nyckelord :Object Detection; Extended Kalman Filter; Tracking;

    Sammanfattning : In this thesis we present a detect-tracking algorithm (see figure 3.1) that combines the detection robustness of static region proposal based object detectors, like the faster region convolutional neural network (R-CNN) and the region-based fully convolutional networks (R-FCN) model, with the tracking prediction strength of extended Kalman filters, by using, what we have called, a translating and non-rigid user input region of interest (RoI-) mapping. LÄS MER

  3. 3. Instance-level Object Detection of Grocery Store items using R-CNN:s

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Erik Rydén; [2019]
    Nyckelord :Image analysis; simulation; r-cnn; Mathematics and Statistics;

    Sammanfattning : Currently, the best ways to perform object detection in an image is to use a neural network trained on large sets of annotated data. However, in certain environments, the number of objects is large and gathering a sufficiently big set of annotated data is prohibitively expensive. LÄS MER

  4. 4. Acceleration of deep convolutional neural networks on multiprocessor system-on-chip

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för datorteknik

    Författare :Martin Reiche Myrgård; [2019]
    Nyckelord :Neurala nätverk; MPSoC; FPGA; DCNN;

    Sammanfattning : In this master thesis some of the most promising existing frameworks and implementations of deep convolutional neural networks on multiprocessor system-on-chips (MPSoCs) are researched and evaluated. The thesis’ starting point was a previousthesis which evaluated possible deep learning models and frameworks for object detection on infra-red images conducted in the spring of 2018. LÄS MER

  5. 5. Object detection and avoidance using LiDAR on a hydrofoil boat

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Erik Söderberg; [2019]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Robots in factories and vehicles on our roads are rapidly reaching the point of automation. Commercial markets require high standards of safety and reliability, which in turn demands strict requirements on software and hardware. This thesis presents an analysis of driver assistance for a hydro-foil speedboat using LiDAR technology. LÄS MER