Solid State Circuits Society

July 19, 2018

Thursday July 19, 2018, 6:00-8:00PM
Title: “Review of LiDAR, Localization and Object Processing for Safe Autonomous Systems” by Dr. Kiran Gunnam, Western Digital
Location: Texas Instruments Silicon Valley Auditorium
2900 Semiconductor Dr., Building E, Santa Clara, CA (Register here)

Date & Time: Thursday, July 19, 2018, 6:00 PM – 8:00 PM PDT

Location: Texas Instruments Building E Conference Center, 2900 Semiconductor Drive, Santa Clara, CA 95051

Directions: TI-BldgE-Auditorium.pdf

Registration Link: (Mandatory) : Register here

Registration Fee: IEEE SSCS/CS/SPS/CIS members: free
Students – $3 (Register at Door $3)
IEEE (non-Society) members – $7 donation (Register at Door $10)
Non-members – $10 (Register at Door $15)

Abstract:

Autonomous systems need to use a wide range of sensing technologies such as LiDAR, camera and RADAR to provide a robust sensing and perception of the environment. First part of this talk reviews the state-of-the art architectures for LiDARs that goes in detail about lasers, photo diodes, architecture for transmitters and receivers including time to digital conversion, matched filtering for detection and cross-talk avoidance. Second part of the talk reviews the recent groundbreaking work (by Apollo AI) in integrated perception that can be easily embedded into the LiDAR sensors which consists of LiDAR+camera+IMU fusion, robust mapping, localization and object processing for safe autonomous systems.

Bio:

Dr. Kiran Gunnam is an innovative technology leader with vision and passion who effectively connects with individuals and groups. Dr. Gunnam’s breakthrough contributions are in the areas of advanced error correction systems, storage class memory systems and vision based navigation systems. He has helped drive organizations to become industry leaders through ground-breaking technologies. Dr. Gunnam has 70 issued patents and 100+ patent applications/invention disclosures on algorithms, computing and storage systems. He is the lead inventor/sole inventor for 90% of them. Dr. Gunnam’s patented work has been already incorporated in more than 2 billion data storage and WiFi chips and is set to continue to be incorporated in more than 500 million chips per year. Dr. Gunnam served as IEEE Distinguished Speaker and Plenary Speaker for 20+ events and international conferences and more than 2000 attendees in USA, Canada and Asia benefited from his lecture talks. He also teaches graduate level course focused on machine learning systems at Santa Clara University.