Speaker: Yilong Lu

Affiliation: Nanyang Technological University

Academic title: Professor (Retired & Adjunct)

Honorary title: IEEE Fellow

Abstract:

Automated driving (AD) is the emerging technology that may bring great revolution in land transport and shape the society with more efficient and more environmental friendly. Millimeter wave (MMW) radar is a type of key sensors for AD due to its many special features. Low cost and high performance are the key issues for commercial MMW radar products. The state of the art technology for MMW radar is mainly based on FMCW waveform for target range and velocity detection and based on MIMO-DBF techniques for target directions. Even with MIMO-DBF, the new generation 4D radar may still require a very large number of antenna/signal/receiver channels, resulting in a considerable high cost. This presentation will explore a further processing stage – data processing with artificial intelligence which may drastically reduce the number of physical signal channels and the hardware cost.

Biography:

Yilong Lu received the B.Eng degree from Harbin Institute of Technology, the M.Eng degree from Tsinghua University, and the PhD degree from University College London. He joined Nanyang Technological University in 1991, where he was promoted to full Professorship from October 2006 and retired from April 2023.

Dr. Lu's research interests include radar systems, antennas, array signal processing, radar signal/data processing, radar imaging, smart sensing with machine learning. He was a PI for a few industrial projects with Delphi Automotive Systems and NXP on millimeter wave radars for automated driving and connected driving.