En säker landning av drönare via ett artificiellt neuralt nätverk

dc.contributor.authorHyttring, Adam
dc.contributor.authorGustafsson, Hannes
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data och informationstekniksv
dc.contributor.examinerLundin, Peter
dc.date.accessioned2019-07-10T13:23:35Z
dc.date.available2019-07-10T13:23:35Z
dc.date.issued2019sv
dc.date.submitted2019
dc.description.abstractModern drones are often supplied with a built-in landing function. The function is usually primitive and rarely involves any advanced risk assessment. In this report, we propose a solution to transfer the human component of the risk assessment to the drone in the form of a neural network. It has previously been found advantageous to make valuable information more explicit before using it as an input in a neural network. Two different types of network models are compared in the work. One network only uses the drone’s camera frames as input variables, reducing its complexity. The second network performs more transformations on the drone’s camera frames to first extract valuable information from the images to make them explicit. The network then uses the explicit information in combination with the drone’s frames as input variables. In this report, a broader comparison is also presented about what impact on the network’s precision more explicit data has. The result of the work shows that networks that use explicit, valuable information have higher precision, but that the magnitude of the precision difference depends on the properties of the task. We also show that a neural network can, with good precision, perform a risk assessment of a drone’s landing.sv
dc.identifier.coursecodeLMTX38sv
dc.identifier.urihttps://hdl.handle.net/20.500.12380/300033
dc.language.isoswesv
dc.setspec.uppsokTechnology
dc.subjectArtificial Intelligencesv
dc.subjectAutomatic landingsv
dc.subjectNeural networksv
dc.subjectExplicit/Implicit informationsv
dc.subjectDronessv
dc.titleEn säker landning av drönare via ett artificiellt neuralt nätverksv
dc.type.degreeExamensarbete på grundnivåsv
dc.type.uppsokM
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