The Smart Wheelchair Project

System Overview

In this project, we are exploring the use of synthesized landmark maps for localization of a smart wheelchair in outdoor and urban environments. Three dimensional maps are generated using data acquired from high fidelity sensors and GPS. The resulting maps are then synthesized to extract salient features, such as poles and building corners, for use as landmarks in localization. By leveraging such detailed maps and landmark data a smart wheelchair can localize itself inside the map with a much a less expensive sensor suite. This design allows us to gain many of the benefits of higher fidelity sensors and reduce the overall cost of the system.


Terrain Classification

Autonomous Navigation to the Bookstore

Street View Visualization



This work was supported in part by National Science Foundation CAREER Award #0844585. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.