C2M2 Distinguished Speaker – Dr. Bing Li

C2M2 would like to thank Dr. Bing Li, Clemson University International Center for Automotive Research, for taking part in our C2M2 Distinguished Speaker Series. His talk was held on Friday, June 4th, 2021.

Seminar Title

Computer Vision and AI-Based Wayfinding for Blind or Visually Impaired Travelers

Seminar Abstract

Independent and safe travel is critical especially for the life qualify of elderly and disabled travelers, enabling daily essential activities and opportunities such as employment, education, and recreation. However, there are still various challenges for the transportation accessibility and mobility to connect elderly and disabled travelers with vehicles or ride services. Dr. Li and his team have been conducting researches to investigate the barriers and design engineering solutions for assistive navigation and mobility aid. In this talk, novel and exciting works on mobile visual computing and AI-based assistive navigation with user study will be presented. Using the human-centric paradigm, we will show the design of visual positioning using robotic simultaneous localization and mapping techniques and computer vision AI models, achieving independent way-guidance and safety situation awareness for travelers with vision disability.

Speaker Bio

Dr. Bing Li is an Assistant Professor and Director of the AutoAI Research Group in the Department of Automotive Engineering at the Clemson University International Center for Automotive Research (CU-ICAR). Dr. Li received his Ph.D. in Electrical Engineering at the City College of New York (CCNY) of the City University of New York (CUNY) in 2018. His current research interests include computer vision, AI, sensing and imaging analysis, assistive technology, autonomous robots and vehicles. Dr. Li is a pioneer in computer vision and AI as sensory substitution for the visual impairment assistive navigation. Dr. Li is recognized with multiple national and international best paper awards, and his research has been reported in top-tier computer vision and robotics publications.