“ Integrated Development of Autonomous Driving Visual Perception Positioning and Map Technology”
Construct feature maps and geographic tags for segmentation and semantic understanding; as prior knowledge, maps can also simplify, modify, and constrain positioning information. The fusion of perception information, positioning information and map information can promote the development of autonomous driving.
Li Bijun, Ph.D., professor, doctoral supervisor, innovative talent in China Optics Valley, leading talent in modern service industry in Hubei Province, has long been engaged in research on navigation and location services, intelligent driving and vehicle-road collaboration. He is a member of the National Standardization Committee of Surveying and Mapping, a director of the China Intelligent Transportation Association, a member of the Intelligent Driving Committee of the Chinese Society of Artificial Intelligence, and an expert member of the Intelligent Transportation Committee.
Published more than 80 academic papers at home and abroad, obtained more than 20 authorized patents, led and participated in the drafting of a number of national standards and industry standards, and successively won the second prize of National Science and Technology Progress Award, the second prize of National Science and Technology Invention Award, and Hubei Science and Technology Progress Award There are more than ten first prizes and second prizes, the first prize of scientific and technological progress of the Ministry of Education, the scientific and technological progress prize of China surveying and mapping, and the scientific and technological progress prize of China Geographic Information Industry Association. Facing the major needs of the country and the industry, it insists on scientific and technological innovation, concentrates on basic research, and has made important contributions to the industrialization of scientific and technological achievements.