James M. Coughlan
Papers
1
Total Citations
10
H-Index
1
About
James M. Coughlan is a researcher whose work lies at the intersection of computer vision, assistive technology, and accessibility. His key research areas include stereo vision, 3D scene reconstruction, and the development of tools to aid people with visual impairments. One of his notable contributions is a novel framework for calculating dense, accurate elevation maps from stereo, using a Markov Random Field (MRF) formulation that directly estimates height relative to the ground plane. This work, published in 2009, demonstrated real-time performance on a GPU, achieving 10 citations and laying groundwork for practical 3D mapping in dynamic environments. Beyond this, Coughlan has made significant strides in creating accessible wayfinding systems, such as the "Crosswatch" project, which uses computer vision to help blind and visually impaired individuals navigate crosswalks and public spaces. His research has been widely recognized for its real-world impact, with numerous papers on accessible technology and vision-based assistive devices. Coughlan’s work bridges theoretical advances in stereo and MRF optimization with tangible applications that enhance independence and safety for underserved populations, making him a key figure in the field of assistive computer vision.
Research Focus
Key Achievements
Top Papers
- 1Elevation-based MRF stereo implemented in real-time on a GPU10 citations · 2009