Essays about: "localization problems"
Showing result 1 - 5 of 59 essays containing the words localization problems.
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1. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. READ MORE
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2. Chúuka’an: Activating Public places in grid settlements.
University essay from Lunds universitet/Institutionen för arkitektur och byggd miljöAbstract : Throughout the years, Mérida has been subject of an outstanding growth, economically, socially and spatially. Starting from being a major Mayan civilization city, to a colonial Spanish settlement that grew into being the capital of the peninsula, it has always gone through changes and innovations according to the necessities of its inhabitants. READ MORE
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3. Robust Non-Linear State Estimation for Underwater Acoustic Localization : Expanding on Gaussian Mixture Methods
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Robust state estimation solutions must deal with faulty measurements, called outliers, and unknown data associations, which lead to multiple feasible hypotheses. Take, for instance, the scenario of tracking two indistinguishable targets based on position measurements, where each measurement could refer to either of the targets or even be a faulty reading. READ MORE
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4. Image-Guided Zero-Shot Object Detection in Video Games : Using Images as Prompts for Detection of Unseen 2D Icons
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Object detection deals with localization and classification of objects in images, where the task is to propose bounding boxes and predict their respective classes. Challenges in object detection include large-scale annotated datasets and re-training of models for specific tasks. READ MORE
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5. Optimal Multitaper Spectrograms
University essay from Lunds universitet/Matematisk statistikAbstract : Multitaper spectrograms have been proposed as a method of improving the spectrogram as a time-frequency representation (TFR). This thesis aimed to investigate both previously used and new methods for combining multitaper spectrograms of a Gaussian signal and a chirp. READ MORE