Monday, November 23, 2020
12:00 PM -
1:00 PM
Online Event
CMS-EE Partners Tech Talk
Series: CMS-EE Partners Event Series
Argo.ai: Understanding and Predicting Trajectories (for Autonomous Driving)
Andrew Hartnett,
Speaker's Bio:
Andrew Hartnett is a senior engineer at Argo AI, leading the development of models to forecast the complex motion of pedestrians, cyclists, and vehicles perceived by an autonomous vehicle. He received his Ph.D. in physics from Princeton where he studied the mechanisms of coordinated movement and consensus decision-making in animal groups. He was then a postdoctoral researcher at Disney Research, where he focused on understanding collective behavior in team sports: developing deep recurrent models for encoding and predicting player trajectories in basketball.
Andrew Hartnett is a senior engineer at Argo AI, leading the development of models to forecast the complex motion of pedestrians, cyclists, and vehicles perceived by an autonomous vehicle. He received his Ph.D. in physics from Princeton where he studied the mechanisms of coordinated movement and consensus decision-making in animal groups. He was then a postdoctoral researcher at Disney Research, where he focused on understanding collective behavior in team sports: developing deep recurrent models for encoding and predicting player trajectories in basketball.
Event Sponsors:
For more information, please contact Claire Ralph by email at clairer@caltech.edu.