C. Ding, M. Wald, and G. Wills, A survey of open accessibility data, Proc. of W4A '14

K. Hara and J. E. Froehlich, Characterizing and visualizing physical world accessibility at scale using crowdsourcing, computer vision, and machine learning, Proc. of ACM SIGACCESS Accessibility and Computing, vol.15, pp.13-21

D. Ahmetovic, R. Manduchi, J. M. Coughlan, and S. Mascetti, Zebra crossing spotter: Automatic population of spatial databases for increased safety of blind travelers, Proc. of ASSETS '15, pp.251-258

A. Li, M. Saha, A. Gupta, and J. E. Froehlich, Interactively modeling And visualizing neighborhood accessibility at scale: An initial study of Washington D.C, Poster Proc. of ASSETS '18, pp.444-446

N. Bolten, S. Mukherjee, V. Sipeeva, A. Tanweer, and A. Caspi, A pedestrian-centered data approach for equitable access to urban infrastructure environments, IBM Journal of Research and Development, vol.61, p.12, 2017.

J. Albouys-perrois, J. Laviole, C. Briant, and A. Brock, Towards a multisensory augmented reality map for blind and low vision people: A participatory design approach, Proc. of CHI '18
URL : https://hal.archives-ouvertes.fr/hal-01801116

K. Hara, C. Chan, and J. E. Froehlich, The design of assistive location-based technologies for people with ambulatory disabilities: A formative study, Proc. of CHI '16, pp.1757-1768

, Jon Froehlich is an associate professor at the Paul G. Allen School of Computer Science at the University of Washington interested in making the physical world more accessible through hybrid crowdsourcing and computational methods