September 25, 2009
EE Conference Room, Mudd 1312
Hosted by: Prof. Shih-Fu Chang
Speaker: Xin Chen, NAVTEQ Corporation
NAVTEQ is a leading global provider of digital map data. NAVTEQ maps drive most in-vehicle navigation systems, the top routing web sites, and the leading brands of wireless navigation devices. NAVTEQ continues to enhance the technologies used for collecting, analyzing, and delivering new content to a wide range of users and devices.
Dr. Chen will discuss NAVTEQ's perspective on the hardware and software systems required to automatically create and maintain a navigable map through the use of high-end mobile data collection sensors and computer vision, pattern recognition and machine learning techniques. Dr. Chen will also present numerous research efforts based on video and LIDAR data collection as well as various challenging problems related to automatic feature extraction for mapping and navigation.
Dr. Xin Chen currently works as a senior researcher in the Research and Emerging Technologies Department of NAVTEQ Corporation. His recent research efforts have concentrated on computer vision, pattern recognition and image processing of video, aerial photo and LIDAR. He received a Ph.D. in Computer Science and Engineering from the University of Notre Dame. His research at Notre Dame focused on biometrics, including infrared, 2D, and 3D face recognition.