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Enabling Independent Navigation for Visually Impaired People

Enabling Independent Navigation for Visually Impaired People through a Wearable Vision-Based Feedback System Hsueh-Cheng Wang, Robert K. Katzschmann, Santani Teng, Brandon Araki, Laura Giarre, Daniela Rus Presented at IEEE International Conference on Robotics and Automation (ICRA) 2017 Abstract: This work introduces a wearable system to provide situational awareness for blind and visually impaired people. The system includes a camera, an embedded computer and a haptic device to provide feedback when an obstacle is detected. The system uses techniques from computer vision and motion planning to (1) identify walkable space; (2) plan step-by-step a safe motion trajectory in the space, and (3) recognize and locate certain types of objects, for example the location of an empty chair. These descriptions are communicated to the person wearing the device through vibrations. We present results from user studies with low- and high-level tasks, including walking through a maze without collisions, locating a chair, and walking through a crowded environment while avoiding people. The authors are with the Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, the Department of Electrical and Computer Engineering, National Chiao Tung University, Taiwan, and 3DEIM, Universitadi Palermo, Italy