As the automotive industry drives toward scalable, cost-effective autonomous systems, the limitations of traditional camera and lidar-based perception stacks are becoming more apparent. This session, led by Plextek’s radar engineering lead, explores a paradigm shift in sensor fusion strategies—one that leverages the untapped potential of mmWave radar to replace or augment imaging from optical and lidar sensors. Attendees will gain insights into cutting-edge approaches to front-end radar system design, advanced signal processing challenges, and how high-definition radar imaging is evolving into a compelling alternative for robust ADAS and autonomous vehicle applications.

In this session, you will learn:

• How can next-generation radar front-end designs be optimised to achieve lidar-like resolution for high-performance automotive applications?
• What are the key strategies for positioning mmWave radar as the primary imaging modality in sensor fusion systems, and how can reliance on cameras and lidar be minimised effectively?
• What technical hurdles around propagation, antenna design, and signal integrity must be overcome to enable complex radar system development?
• At the system level, how can radar-centric perception architectures reduce overall vehicle cost, complexity, and power consumption without compromising performance?