Multimodal sensing and intuitive steering assistance improve navigation and mobility for people with impaired vision

Author:

Slade Patrick1ORCID,Tambe Arjun1ORCID,Kochenderfer Mykel J.2ORCID

Affiliation:

1. Department of Mechanical Engineering, Stanford University, Stanford, CA, USA.

2. Department of Aeronautics and Astronautics, Stanford University, Stanford, CA, USA.

Abstract

A robotic white cane enables people with impaired vision to improve their mobility and overcome major navigation challenges.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Mechanical Engineering

Reference60 articles.

1. Global Data on Visual Impairments (World Health Organization 2010).

2. Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis

3. Quality of life of the most severely vision-impaired

4. Impact of unilateral and bilateral vision loss on quality of life

5. J. D. Armstrong Evaluation of man-machine systems in the mobility of the visually handicapped in Human Factors in Health Care R. M. Pickett T. J. Triggs. Eds. (Heath 1975) pp. 331–343.

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