Speech Title: Multi-source Fusion SLAM - Current Status and Challenges
Abstract:
SLAM (Simultaneous Localization and Mapping) technology stands as a core component within autonomous mobile platforms. In recent years, with the rapid advancement of unmanned driving and autonomous mobile robotics, SLAM technology has experienced significant progress, transitioning from fundamental research to profound practical applications. However, in the realm of practical implementation on robotic systems and unmanned driving platforms, SLAM technology encounters challenges such as complex and dynamic environments, large-scale alternation between structured and unstructured scenes, intense movements of robotic platforms, as well as variations in lighting and notable seasonal changes. Consequently, the adoption of multi-sensor approaches, diverse information sources, and various feature methodologies in the form of multi-source fused SLAM becomes an inevitable choice to address the current challenges. This report aims to provide an overview of the diverse challenges faced by SLAM in practical applications, sharing insights into current technological solutions and the latest advancements in this field.
Biography:
Yong Liu is a professor at the College of Control Science and Engineering at Zhejiang University, where he also serves as the director of the Intelligent Driving and Future Transportation Center, the director of the Zhejiang University-Iluvatar CoreX Advanced Intelligent Computing Center, and the deputy director of the Advanced Intelligent Systems Research Center. He is a member of the Party Committee of the College of Control Science and Engineering and an expert in machine replacement for Zhejiang Province. He has received numerous awards, including the First Prize in Natural Science, the First Prize in Science and Technology, and the First Prize in Science and Technology Progress from Zhejiang Province, as well as the Second Prize in Natural Science Academic Awards and the Excellent Youth Foundation Fund of Zhejiang Scientific Committee. Liu has been recognized as a Young Top-Notch Talent in the Ten Thousand Talents Program by the Organization Department of the CPC Central Committee, a Young and Middle-aged Leading Talent in Science and Technology with Outstanding Contributions by Zhejiang Province, a 2022 Qianjiang Distinguished Expert by Hangzhou City, and a member of the Zhejiang Province 151 Talent Program. He has authored and co-authored over 200 papers as the first author or corresponding author in prestigious journals and top conferences, including TPAMI, TRO, TIP, CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, and IROS. His primary research interests are in autonomous robots and intelligent systems, autonomous planning and navigation control for robots, visual recognition and pattern recognition, SLAM technology, and multi-sensor fusion technology.