Solution Study
Thursday, June 29
09:15 AM - 09:45 AM
Live in San Francisco
Less Details
For OEMs to make the leap to L3+ systems, where the OEM, not the driver, takes on liability, requires crucial perception edge cases to be solved for both low-speed urban environments and high-speed highway driving. Traditionally, situations such as the ability to see small road obstacles from more than 200 meters away have been problematic due to sensor shortcomings such as insufficient resolution in radars and temporary blindness in cameras from direct sunlight. New intelligent sensing approaches leverage on-sensor software to optimize the lidar sensor’s output for improved perception. In this session, AEye’s director of product management Indu Vijayan discusses how intelligence at the lower levels of processing enables perception at the higher levels, and how having a dynamic feedback loop from the higher levels of the autonomous driving stack can improve the true positive rate, reducing the perception systems’ reaction times based on operational domains.
Indu is a specialist in systems, software, algorithms and perception for self-driving cars. At AEye, she works with the company's Tier 1 partners to bring on-time, automotive-grade autonomous vehicle perception systems to market. Previously, as a senior software engineer at Delphi/Aptiv, she played a major role in bridging ADAS sensors and algorithms, and extending them for mobility - helping to set system functional requirements for SAE Level 3 & 4 Automated Driving Vehicles, developing future sensor requirements, and developing camera models for the automated driving simulation platform. Indu is a frequent industry speaker and author, as well as the founder of Women in Autonomy, a forum created to educate, equip and empower women building autonomous technologies across industries. She holds both a BS in Technology in Computer Science and an MS in Computer Engineering from Stony Brook University.
The Pop in Your Job – What drives you? Why do you love your topic?
I have been lucky enough, as a software engineer at Delphi (Aptiv), then a product manager at AEye, to work on cutting edge technology that saves lives. That’s what drives me every day: the opportunity to do what I love, working to solve complex technical issues and to advance system-level safety, while creating a lasting societal impact. The AV perception systems AEye and our Tier 1 partners are bringing to market will enhance safety and improve the quality of life for a lot of people - including the disabled and elderly - and that brings me a great deal of satisfaction.