Case Study
Thursday, June 29
09:45 AM - 10:15 AM
Live in San Francisco
Less Details
The advancement of autonomous vehicles is revolutionizing the transportation industry, but realizing their full potential is still a work in progress. A crucial aspect of autonomous systems is perception, specifically vision-centric perception. This presentation will delve into the current state of vision-centric perception in the context of autonomous systems and identify the challenges that need to be overcome to achieve safe and reliable operation. We will explore how academic research and industrial applications can work together to address these challenges and advance the state of the art.
Shubham Shrivastava works as Technical Expert and Lead, 3D Perception at Ford. He is leading a team of talented machine learning and robotics engineers towards building vision-centric 3D perception solutions at Ford Autonomy. His work includes building an end-to-end 3D Perception stack for Ford L2+ vehicles on the road, and the development of a flexible and scalable machine-learning framework for all ML tasks within Ford.
The Pop in Your Job – What drives you? Why do you love your topic?
Shubham Shrivastava is a true innovator in the field of 3D perception and machine learning, driven by his passion for technology and his love of problem-solving. He has over 20 patents to his name, showcasing his contributions to the industry and his commitment to driving change. As a technical expert and lead at Ford, he takes pride in developing end-to-end 3D Perception pipelines for the company's L2+ vehicles, tackling complex technical problems and creating solutions that have a positive impact on society.