Automotive Radar Networks - Sumit Roy, Fundamentals of Networking Lab

This talk will present an overview of recent research around the use of vehicular radar for advanced driver assistance systems (en route to a future vision of autonomous driving). Wideband (typically FMCW or chirp) radars are increasingly deployed onboard vehicles as key high-resolution sensor for environmental mapping/imaging and various safety features. The talk will focus on the evolving role of radar `cognition’ in complex operating environments to address two important future challenges:

1. Mitigating multi-access interference among Radars (e.g. dense traffic scenario)
The talk will first illustrate the impact of mutual interference on detection performance in Chirp/FMCW radars and then highlight some multi-access protocol design approaches for effective resource sharing among multiple radars.

2. Contributions to radar vision via new radar hardware (MIMO radar) + associated advanced signal processing (Synthetic Aperture principles) as well as Convolutional Neural Network (Radar Net’) based machine learning approach for enhanced object detection/classification in challenging circumstances.