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SystemX presents "Automotive Radar Systems for Autonomous Driving"

Topic: 
Automotive Radar Systems for Autonomous Driving
Wednesday, January 29, 2020 - 4:00pm
Venue: 
Allen 101X
Speaker: 
Dr. Gor Hakobyan (Bosch)
Abstract / Description: 

The ongoing automation of driving functions in cars results in the evolution of advanced driver assistance systems (ADAS) into ones capable of highly automated driving, which will in turn progress into fully autonomous, self-driving cars. To work properly, these functions first must be able to perceive the car's surroundings by such means as radar, lidar, camera, and ultrasound sensors. As the complexity of such systems increases along with the level of automation, the demands on environment sensors, including radar, grow as well. Particularly, resolution as well as dynamic range in all four radar dimensions are to be improved. For radar performance to meet the requirements of self-driving cars, straightforward scaling of the radar parameters (e.g. bandwidth, sampling rate, aperture) is not sufficient. Rather, fundamentally different approaches are required, including the use of more sophisticated signal processing algorithms as well as alternative radar waveforms and modulation schemes. In addition, since radar is an active sensor, interference becomes a crucial issue as the number of deployed automotive radar sensors increases.

The talk gives an overview of the challenges that arise for automotive radar from its development as a sensor for ADAS to a core component of self-driving cars. It summarizes the relevant research and discusses topics related to high-performance automotive radar systems, such as novel waveforms and signal processing algorithms, multiple-input multiple-output (MIMO) radar, synthetic aperture radar, and cognitive interference avoidance.

Bio:

Dr. Gor Hakobyan is a research scientist at Bosch working on future radar sensors for self-driving cars. His research focuses on signal processing algorithms and system design of automotive radar sensors, comprising advanced signal processing algorithms, approaches for compressed signal acquisition and processing, MIMO radar system design, and radar interference mitigation.

He holds a PhD in radar signal processing from University of Stuttgart, is recipient of multiple awards on radar conferences, author of several IEEE journal and magazine papers, and inventor in over twenty patent families.

For further details please see his Bosch Research Expert Profile: https://www.bosch.com/research/know-how/research-experts/gor-hakobyan/