Workshop I: Individual Vehicle Autonomy: Perception and Control - IPAM

Workshop I: Individual Vehicle Autonomy: Perception and Control

Part of the Long Program Mathematical Challenges and Opportunities for Autonomous Vehicles
October 5 - 9, 2020

Schedule

All times in this Schedule are Pacific Time (PT)

Monday, October 5, 2020

Morning Session

07:55-07:55
SESSION CHAIR: RICHARD SOWERS (University of Illinois at Urbana-Champaign)
07:55-08:00
Welcome & Opening Remarks: Dean Miguel García-Garibay (Dean of Physical Sciences, UCLA) and Dima Shlyakhtenko (Director, IPAM)
08:00-08:40
Adrien Gaidon (Toyota Research Institute)
The 3 R's and P's of Autonomous Driving: Robustness, Randomness, and Risk in Perception, Prediction, and Planning
08:50-09:00
Break
09:00-09:40
Jana Kosecka (George Mason University)
Challenges and Opportunities in Autonomous Navigation
09:50-10:00
Break
10:00-10:20
Lightning Poster Presentations by Xiaoyi (Sherry) Chen (Univ. of Pennsylvania), Kuang Huang (Columbia Univ.), and Hossein Nick Zinat Matin (Univ. of Illinois at Urbana-Champaign)
10:20-10:30
Break
10:30-11:10
Adam Oberman (McGill University)
Contributions to deep learning using a mathematical approach: improved model uncertainty, certified robust models, and faster training of Neural ODEs.

Tuesday, October 6, 2020

Morning Session

08:00-08:00
SESSION CHAIR: DARIUS BURSCHKA (Technische Universtitat München)
08:00-08:40
Oscar Beijbom (Motional)
Data, detection, and metrics for autonomous vehicles
08:50-09:00
Break
09:00-09:40
Stefano Soatto (University of California, Los Angeles (UCLA))
Robustness in Perception for Control and Planning
09:50-10:00
Break
10:00-10:40
Pratik Chaudhari (Amazon)
Learning with Few Labeled Data
10:50-11:00
Break
11:00-11:40
Bo Li (University of Illinois at Urbana-Champaign)
Secure Learning in Adversarial Environments

Wednesday, October 7, 2020

Morning Session

08:00-08:00
SESSION CHAIR: LAWRENCE UDEIGWE (Manhattan College)
08:00-08:40
Wolfram Burgard (Toyota Research Institute)
(Self-)Supervised Learning for Perception Tasks in Automated Driving
08:50-09:00
Break
09:00-09:40
Richard Tsai (University of Texas at Austin)
Line-of-sight optimization for moving agents in complex urban domains
09:50-10:00
Break
10:00-10:40
Darius Burschka (Technische Universtitat München)
Visual Modeling and Collision Avoidance in Dynamic Environments from Monocular Video Sequences
10:50-11:00
Break
11:00-11:40
David Held (Carnegie Mellon University)
Self-supervised learning for autonomous driving

Thursday, October 8, 2020

Morning Session

08:00-08:00
SESSION CHAIR: JIA LE XIAN (Lizora Technologies)
08:00-08:40
Xuan Di (Columbia University)
Harnessing Mean-Field Game & Data Science for Mixed Autonomy
08:00-08:40
Xuan Di (Columbia University)
Harnessing Mean-Field Game & Data Science for Mixed Autonomy
08:50-09:00
Break
09:00-09:40
Dorsa Sadigh (Stanford University)
Interaction-Aware Planning: A Human-Centered Approach toward Autonomous Driving
09:50-10:00
Break
10:00-10:40
Vlad Voroninski (Helm AI)
Deep Teaching: A Scalable AI Approach to Autonomous Driving
10:50-11:00
Break
11:00-11:40
Raquel Urtasun (University of Toronto, Uber)
A future with affordable Self-driving vehicles

Friday, October 9, 2020

Morning Session

08:00-08:00
SESSION CHAIR: JANA KOSECKA (George Mason University)
08:00-08:40
Dragomir Anguelov (Waymo)
Deep Temporal Scene Understanding for Autonomous Driving
08:50-09:00
Break
09:00-09:40
Shai Avidan (Tel Aviv University)
SampleNet: Differentiable Point Cloud Sampling
09:50-10:00
Break
10:00-10:40
Alexandre Alahi (École Polytechnique Fédérale de Lausanne (EPFL))
Socially-aware AI for Vehicle Autonomy
10:50-11:00
Break
11:00-11:40
Matthew Johnson-Roberson (University of Michigan)
Alternatives in robotic perception for self-driving cars: what can academics add to a robust industrial research area?
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