K V S Hari is a Professor in the Department of ECE, Indian Institute of Science, Bangalore. He holds a BE (ECE) degree from Osmania University, Hyderabad, MTech (Radar and Communication Systems) from IIT Delhi and Ph.D. (Systems science) from U C San Diego and has been a visiting faculty at Stanford University (1999-00) and Affiliate Professor at KTH- Royal Institute of Technology, Stockholm (2010-16). His research interests are in Signal Processing with applications to 5G wireless communications, radar systems, autonomous vehicles, neuroscience, and affordable MRI systems. He is a co-author of an IEEE standard on wireless channel models. He was an Editor of EURASIP's Signal Processing (2006- 16) and is currently the Editor-in-Chief (Electrical Sciences) of Sadhana, the journal of the Indian Academy of Sciences published by Springer. He is a Fellow of the Indian National Academy of Engineering and a Fellow of IEEE and also on the Board of Governors, IEEE Signal Processing Society, as Vice President-Membership.
Sensing and Signal Processing for Autonomous Navigation
The emergence of autonomous navigation systems have spurred many innovations in the design of sensing, computing, communication and control systems. In this talk, we will present two case studies of designing and developing autonomous navigation platforms using machine-learning tools. First, a system design used in large vehicles for collision avoidance based on using cameras and deep neural networks. Second, the design of a sensing platform using LIDAR, cameras to collect data related to road traffic in India.