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Review of LiDAR, Localization and Object Processing for Safe Autonomous Sys...

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Texas Instruments Silicon Valley Auditorium

2900 Semiconductor Dr.

Building "E"

Santa Clara, CA

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Description

IEEE Silicon Valley Solid-State Circuits Society (SSCS)

Cosponsored by

IEEE Silicon Valley Circuits and Systems Society (CASS)

IEEE Silicon Valley Signal Processing Society (SPS)

"Review of LiDAR, Localization and Object Processing for Safe Autonomous Systems"

Dr. Kiran Gunnam
Distinguished Engineer, Western Digital

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.

The seminar is FREE and donation is accepted for refreshments (FREE SSCS/CAS members/$2 IEEE members/$5 non-members)
Eventbrite registration is required for everyone to attend the talk.

Venue:

Texas Instruments Silicon Valley Auditorium 2900 Semiconductor Dr., Building E, Santa Clara, CA 95051 Directions and Map (to locate Building E).

Time: July 19 (Thursday) evening 6:00PM-8:00PM
Networking and Refreshments: 6:00 PM - 6:30 PM
Technical Talk: 6:30 PM - 8:00 PM

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Date and Time

Location

Texas Instruments Silicon Valley Auditorium

2900 Semiconductor Dr.

Building "E"

Santa Clara, CA

View Map

Refund Policy

Refunds up to 1 day before event

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