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Application Based 3D Sensor Evaluation: A Case Study in 3D Object Pose Estimation for Automated Unloading of Containers
Örebro University, School of Science and Technology. (Center for Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0002-2392-7146
Örebro University, School of Science and Technology. (Center for Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0002-6013-4874
Örebro University, School of Science and Technology. (Center for Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0003-0217-9326
2013 (English)In: Proceedings of the European Conference on Mobile Robots (ECMR), IEEE conference proceedings, 2013, p. 313-318Conference paper, Published paper (Other academic)
Abstract [en]

A fundamental task in the design process of a complex system that requires 3D visual perception is the choice of suitable 3D range sensors. Identifying the utility of 3D range sensors in an industrial application solely based on an evaluation of their distance accuracy and the noise level may lead to an inappropriate selection. To assess the actual effect on the performance of the system as a whole requires a more involved analysis. In this paper, we examine the problem of selecting a set of 3D range sensors when designing autonomous systems for specific industrial applications in a holistic manner. As an instance of this problem we present a case study with an experimental evaluation of the utility of four 3D range sensors for object pose estimation in the process of automation of unloading containers.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2013. p. 313-318
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-33914DOI: 10.1109/ECMR.2013.6698860ISI: 000330234600050OAI: oai:DiVA.org:oru-33914DiVA, id: diva2:698571
Conference
6th European Conference on Mobile Robots (ECMR,
Available from: 2014-02-24 Created: 2014-02-24 Last updated: 2018-05-22Bibliographically approved

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Mojtahedzadeh, RasoulStoyanov, TodorLilienthal, Achim J.

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  • nn-NO
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