AI SearchActive range sensing algorithms for development of a navigation device for handicapped people
Call Number: AIT Thesis no.ISE-99-06 Material type:
SeriesSeries: Asian Institute of Technology. Thesis ; no. ISE-99-06Publication details: Bangkok : Asian Institute of Technology 1999Description: 54, [3] p. : illSubject(s): Online resources: Dissertation note: Thesis (M.Eng.) - Asian Institute of Technology, 1999 Summary: The main purpose of this study is to do the work of initial stage, which is to develop a prototype for an intelligent walking stick that can navigate blind or partially sighted people, by means of a multi-sensor based approach to detect obstacles along the path. This study is divided into three parts: sensor evaluation and selection, matching and depth recovery algorithms design and implementation with selected sensor module and micro controller. Two kinds of sensors and several range image measurement methods are compared. A matching algorithm is implemented and given the matching points pair from stereo images. Two kinds of depth recove1y methods are developed. Implementation of this methodology is demonstrated by recovering the depth from stereo images taken by single camera. Conclusion and recommendations are given based on experimental results.
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Thesis (M.Eng.) - Asian Institute of Technology, 1999
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Advanced Technologies
The main purpose of this study is to do the work of initial stage, which is to develop a prototype for an intelligent walking stick that can navigate blind or partially sighted people, by means of a multi-sensor based approach to detect obstacles along the path. This study is divided into three parts: sensor evaluation and selection, matching and depth recovery algorithms design and implementation with selected sensor module and micro controller. Two kinds of sensors and several range image measurement methods are compared. A matching algorithm is implemented and given the matching points pair from stereo images. Two kinds of depth recove1y methods are developed. Implementation of this methodology is demonstrated by recovering the depth from stereo images taken by single camera. Conclusion and recommendations are given based on experimental results.
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