(Reported by Ge Mingfeng) On the afternoon of December 16, 2024, Professor Ou Yongsheng from Dalian University of Technology delivered an exciting online presentation titled “Research on SLAM Technology in Complex Dynamic Scenes”.
Ou Yongsheng is a professor and PhD supervisor at Dalian University of Technology. After returning to China from the United States in 2010, he was selected as a leading talent under the National “Ten Thousand Talents Plan” and Promotion Program for Young and Middle-aged Leading Talents of the Ministry of Science and Technology in 2011, with the support of the Chinese Academy of Sciences (CAS). He is an expert in the overall group of the 13th Five-Year Intelligent Robotics Special Project of the Ministry of Science and Technology (MOST), an expert in the evaluation of key projects of the National Natural Science Foundation of China, and an expert in the evaluation of the National Science and Technology Award Program. He has undertaken a number of national projects, such as key projects of the National Natural Science Foundation of China, national major research programs, and 863 program of the Ministry of Science and Technology.
In the presentation, Prof. Ou first introduced SLAM technology in complex dynamic scenes. SLAM technology is one of the core technologies in the field of robotics and autonomous driving, which can construct maps and determine its own position in unknown environments in real time through sensor data. However, in complex dynamic scenes, such as crowded commercial areas and highways where vehicles shuttle, SLAM technology faces many challenges, such as interference from dynamic obstacles, the impact of lighting changes, and sensor noise.
Prof. Ou elaborated on the current application status of SLAM technology in complex dynamic scenarios and shared his and his team’s research achievements in this field. He mentioned that in order to address these challenges, researchers are exploring more robust and efficient algorithms, such as feature extraction methods based on deep learning, multi-sensor fusion techniques, and dynamic environment-adaptive map construction strategies. These research results not only improve the stability and accuracy of SLAM technology in complex dynamic scenes, but also lay a solid foundation for the further development of robotics and autonomous driving technology.
After the presentation, our faculty and students had an in-depth exchange and discussion with Prof. Ou. They all expressed that Prof. Ou’s report was rich in content and insightful, providing valuable academic insights and research directions for them. Prof. Ou also answered the questions of our teachers and students patiently and meticulously, showing his profound academic skills and humble academic attitude.
The success of this presentation not only enhances the academic level of our faculty and students, but also promotes academic exchanges and cooperation with Dalian University of Technology and other famous universities in China. In the future, the School will continue to invite more famous scholars to give lectures to provide more learning and communication opportunities for teachers and students, and to promote the continuous development of the scientific research of the School.
