This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.
- Assistant Professor at School of Information Science and Technology, ShanghaiTech, Shanghai
- PhD from ETH Zurich
- author of OpenGV
- inviting PhD Applications
N. Gisin, and F. Fröwis. (2018)cite arxiv:1802.00736Comment: 5 pages, 5 figures. Opinion paper. More visions are welcome. Special issue of Philosophical Transaction A.
U. Menne. (2017)cite arxiv:1705.05253Comment: The present text is a version with additional references but without figures of a note compiled for the Notices of the American Mathematical Society. (v4: considerably expanded introduction, 6 pages).
A. Chaabani, M. Bellamine, and M. Gasmi. International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI), 3 (4):
17(November 2014)
O. Callaú, R. Robbes, \. Tanter, and D. Röthlisberger. Proceedings of the 8th Working Conference on Mining Software Repositories, page 23--32. New York, NY, USA, ACM, (2011)
S. Albrecht, and P. Stone. (2017)cite arxiv:1709.08071Comment: 42 pages, submitted for review to Artificial Intelligence Journal. Keywords: multiagent systems, agent modelling, opponent modelling, survey, open problems.
V. Mazurov, and E. Khukhro. (2014)cite arxiv:1401.0300Comment: A few new solutions and references have been added. Preparation of the next 19th issue is underway, new problems are welcome, as well as comments on previous editions.