Essays about: "Object Detection"
Showing result 1 - 5 of 226 essays containing the words Object Detection.
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1. Object Detection in Object Tracking System for Mobile Robot Application
University essay from KTH/Matematisk statistikAbstract : 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. READ MORE
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2. Region Proposal Based Object Detectors Integrated With an Extended Kalman Filter for a Robust Detect-Tracking Algorithm
University essay from Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)Abstract : 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. READ MORE
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3. Instance-level Object Detection of Grocery Store items using R-CNN:s
University essay from Lunds universitet/Matematik LTHAbstract : 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. READ MORE
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4. Acceleration of deep convolutional neural networks on multiprocessor system-on-chip
University essay from Uppsala universitet/Avdelningen för datorteknikAbstract : 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. READ MORE
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5. Object detection and avoidance using LiDAR on a hydrofoil boat
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : 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. READ MORE
