This thesis describes the development of a range sensing system. The goal was to create a range sensor that is robust and flexible so that a number of applications within the forest products manufacturing environment can be addressed. Features of the system include: the capability of producing spatially registered image pairs of range and intensity, the ability to generate both range and intensity very quickly, the applicability to a wide variety of industrial applications, the ability to handle large depth-of-field range sensing problems, the ability to do real-time data processing, and the capability to do extensive system diagnostics under complete software control.
A triangulation based plane-of-light optical method is employed to extract range information. The research shows that this method suits range sensing applications where conveyor belts are involved. An in-depth study of the triangulation method is included. In the study it shows that this method also supports large depth-of-field range sensing. A dedicated signal processing hardware, built on the Micro Channel interface, performs pipelined image processing and generates range and intensity images in a spatially registered form. The hardware is designed to support several modes of operation, for the purpose of facilitating optical adjustments and calibrations. The hardware self-diagnostic facility is also included in the design.
A memory management scheme is provided that facilitates real-time data processing of the range and intensity images. The experiments show that this scheme provides a real-time environment for software processing. This thesis also contains a theory exploring the limitations of the measurement accuracy of the range detection algorithm employed in the prototype system.
The maximum data generation rate of the prototype system is 380 range/intensity lines per second at 128 range/intensity pixels per line. Several proposals toward future work are included that aim at improving the speed as well as the measurement accuracy of the prototype system. / Master of Science
| Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/43623 |
| Date | 10 July 2009 |
| Creators | Hou, Yoshen |
| Contributors | Electrical Engineering, Conners, Richard W., Abbott, A. Lynn, Schmoldt, Daniel L., Kline, D. Earl |
| Publisher | Virginia Tech |
| Source Sets | Virginia Tech Theses and Dissertation |
| Language | English |
| Detected Language | English |
| Type | Thesis, Text |
| Format | xii, 190 leaves, BTD, application/pdf, application/pdf |
| Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
| Relation | OCLC# 36114196, LD5655.V855_1993.H68.pdf |
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