Case Study
Monday, June 30
09:25 AM - 09:50 AM
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The deployment of self-driving trucks represents a monumental leap forward in the evolution of transportation, promising unparalleled efficiency, safety, and sustainability in the freight industry. However, the journey towards widespread adoption of autonomous trucking is fraught with multifaceted challenges that demand meticulous navigation and strategic solutions. Kodiak aims to delve into the complexities surrounding the deployment of self-driving trucks, examining the various technological, regulatory, and societal hurdles that must be addressed to realize the full potential of autonomous freight transportation.
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.