Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving

no code implementations • 18 Oct 2022 • Eli Bronstein, Mark Palatucci, Dominik Notz, Brandyn White, Alex Kuefler, Yiren Lu, Supratik Paul, Payam Nikdel, Paul Mougin, Hongge Chen, Justin Fu, Austin Abrams, Punit Shah, Evan Racah, Benjamin Frenkel, Shimon Whiteson, Dragomir Anguelov

We demonstrate the first large-scale application of model-based generative adversarial imitation learning (MGAIL) to the task of dense urban self-driving.

Autonomous Driving Imitation Learning +1

The Episolar Constraint: Monocular Shape from Shadow Correspondence

no code implementations • CVPR 2013 • Austin Abrams, Kylia Miskell, Robert Pless

For outdoor scenes with solar illumination, we term this the episolar constraint, which provides a convex optimization to solve for the sparse depth of a scene from shadow correspondences, a method to reduce the search space when finding shadow correspondences, and a method to geometrically calibrate a camera using shadow constraints.

Shadow Estimation Method for "The Episolar Constraint: Monocular Shape from Shadow Correspondence"

no code implementations • 15 Apr 2013 • Austin Abrams, Chris Hawley, Kylia Miskell, Adina Stoica, Nathan Jacobs, Robert Pless

We show these approaches only work with very careful tuning of parameters, and do not work well for long-term time-lapse sequences taken over the span of many months.