Abstract: 

Prof. Junkun Yan (Xidian University, China),

Prof. Chenguang Shi (Nanjing University of Aeronautics and Astronautics, China)

Session Chairs: 

This session explores cutting-edge advancements and challenges in robust radar-based tracking and localization systems. With the growing demand for reliable sensing in autonomous vehicles, defense, and smart infrastructure, radar technology plays a pivotal role in delivering high-precision, all-weather performance. Experts will discuss innovative signal processing techniques, machine learning-enhanced tracking algorithms, and resilient localization methods designed to overcome multipath interference, clutter, and dynamic environments. Key topics include multi-sensor fusion, real-time adaptive filtering, target detection and tracking, multi-radar resource management, and uncertainty-aware estimation for improved accuracy and robustness. Join us to discover the latest research and practical solutions shaping the future of radar systems.