Essays about: "trajectory classification"
Showing result 1 - 5 of 17 essays containing the words trajectory classification.
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1. Detecting flight patterns using deep learning
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : With more aircraft in the air than ever before, there is a need for automating the surveillance of the airspace. It is widely known that aircraft with different intentions fly in different flight patterns. Support systems for finding different flight patterns are therefore needed. READ MORE
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2. Classification of fishing vessel types using machine learning methods on vessel monitoring system data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The oceans around the world have been heavily impacted by overfishing due to very intensive commercial fishing in recent times. A large number of fish stocks have already been fully exploited. Vessel Monitoring System has been put in place to regulate fishing vessels and enforce sustainable fisheries management. READ MORE
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3. Verb-framed and satellite-framed patterns in Brazilian and European Portuguese
University essay from Stockholms universitet/Institutionen för lingvistikAbstract : The goal of this work is to contribute to the understanding of the framing typological domain of motion events in Brazilian Portuguese (BP) and European Portuguese (EP) through corpus analysis of intransitive pleonastic double Path constructions, which are constructions that express ‘the same’ trajectory in both the verb and its satellite. Data has been retrieved from the ptTenTen11 corpus. READ MORE
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4. Segmentation, Classification and Tracking of Objects in LiDAR Point Cloud Data Using Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : The purpose of this thesis was to explore deep learning methods of segmentation, classification and tracking of objects in LiDAR data. To do this a complete pipeline was developed, consisting of background filtering, clustering, tracking, labeling and visualization. READ MORE
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5. Fault Clustering With Unsupervised Learning Using a Modified Gaussian Mixture Model and Expectation Maximization
University essay from Linköpings universitet/FordonssystemAbstract : When a fault is detected in the engine, the check engine light will come on. After that, it is often up to the mechanic to diagnose the engine fault. Manual fault classification by a mechanic can be time-consuming and expensive. READ MORE