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3D Corner Detection using Hidden Markov Model Classification
Örebro University, School of Science and Technology.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In a growing globalized world with the increasing use of internet technology,

the worldwide deliveries are strongly increased. Several logistic optimizations

have been done to increase the speed and the reliability of the shipments, however

the transport by container remains one of the bottlenecks of the entire

system.

This thesis want to propose an approach to retrieve information of the items

inside the containers in order to contribute to a possible automation of the

unloading process, providing tools to simulate, process, classify and possibly

detect corners of known packets given their pointcloud representation. A simulated

environment and kinect have been implemented to generate the data,

allowing to create a grid representation of the packets inside the container. In

addiction, several features extraction techniques have been developed in order

to to train an HMM classifier able to perform corners detections.

Place, publisher, year, edition, pages
2015. , p. 51
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:oru:diva-45511OAI: oai:DiVA.org:oru-45511DiVA, id: diva2:845044
Subject / course
Computer Engineering
Supervisors
Examiners
Available from: 2015-08-10 Created: 2015-08-10 Last updated: 2018-01-11Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • de-DE
  • en-GB
  • en-US
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  • Other locale
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Output format
  • html
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