Referenced Items are not available for this document.
This paper introduces a new method for object recognition which is based on a recurrent neural network trained in a supervised mode. The RNN inputs 3-dimensional laser scanner data sequentially, in a natural temporal order in which the laser returns arrive to the scanner. The method is illustrated on a two-class problem with real data.
Published in:
Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on
Date of Conference: 20-25 June 2009
- Page(s):
- 9 - 15
- ISSN :
- 2160-7508
- E-ISBN :
- 978-1-4244-3993-5
- Print ISBN:
- 978-1-4244-3994-2
- INSPEC Accession Number:
- 10836162
- Conference Location :
- Miami, FL
- Digital Object Identifier :
- 10.1109/CVPRW.2009.5204114
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