Sökning: "trajectory classification"
Visar resultat 1 - 5 av 17 uppsatser innehållade orden trajectory classification.
1. Detecting flight patterns using deep learning
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : 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. LÄS MER
2. Classification of fishing vessel types using machine learning methods on vessel monitoring system data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
3. Verb-framed and satellite-framed patterns in Brazilian and European Portuguese
Master-uppsats, Stockholms universitet/Institutionen för lingvistikSammanfattning : 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. LÄS MER
4. Segmentation, Classification and Tracking of Objects in LiDAR Point Cloud Data Using Deep Learning
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : 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. LÄS MER
5. Fault Clustering With Unsupervised Learning Using a Modified Gaussian Mixture Model and Expectation Maximization
Master-uppsats, Linköpings universitet/FordonssystemSammanfattning : 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. LÄS MER