This tutorial provides a deep dive into 4D radar technology and its integration with other sensor modalities in multimodal AI, with a focus on robotics applications. As robotic systems increasingly operate in complex and dynamic environments, 4D radar has emerged as a pivotal technology, offering high-resolution spatial and velocity information in all weather conditions.
This tutorial is structured in two parts:
- Fundamentals of 4D Radar – We cover system architecture, performance characteristics, and signal processing pipeline. We also introduce AI/ML-based approaches tailored to 4D radar.
- Advanced Sensor Fusion AI – We explore the integration of 4D Radar with other sensors, multi-modal datasets, and recent advancements in fusion techniques for detection, tracking, and segmentation.
Throughout, we highlight the impacts of 4D radar technology on autonomous systems, including environmental perception, obstacle avoidance, and autonomous navigation, demonstrating how they enhance situational awareness and decision-making.
By the end, participants will gain a strong foundation in 4D radar and sensor fusion AI, equipping them to drive innovation in robotic perception across diverse applications.
