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A low-cost system using sparse vision for navigation in the urban environment

Abstract:

Established mobility aids, such as the long cane, enable visually impaired users to travel safely in urban environments This paper describes continuing work to enhance this mobility by providing a series of high-level navigational goals. In particular, we describe algorithms to detect doorways and to facilitate centre-path travel. To maintain high performance at low cost, both algorithms use sparsely-sampled images from a single camera. Doorway detection is achieved by the detection of charac...

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Publication status:
Published

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Authors


Probert, P More by this author
Journal:
IMAGE AND VISION COMPUTING
Volume:
16
Issue:
4
Pages:
225-233
Publication date:
1998-04-03
DOI:
ISSN:
0262-8856
URN:
uuid:abf34b15-165f-4e5e-8f6f-5c98a6dd4ed2
Source identifiers:
383643
Local pid:
pubs:383643
Language:
English
Keywords:

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