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Conference Details - Agenda

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Autonomy 2020 - Virtual Conference

Vehicles, Manufacturing, and Platform Technologies
April 8-9, 15-16, 2020
Day 01 Day 02 | Day 03 | Day 04 | All
 

Session 1: Autonomous Vehicles

Day 1: Wednesday, April 8

10:00am - 10:05am

Welcome and Introduction to Session 1

10:05am - 10:35am

TBA

10:40am - 11:10am

Automated Vehicles: The Current Landscape and a View Forward
The concept of automating vehicles and removing the driver from direct control of the throttle, brake, and steering wheel was first explored nearly 100 years ago. Over the decades since, automation of various features has gradually infiltrated the automobile. Today, on the heels of the DARPA Urban Challenge and Google’s Self-Driving Car Project, we are closer than ever to realizing aspirations of a century ago, but challenges remain. This talk will center on elements of what is known about automation in the vehicle today and our evolution towards self-driving. Topics will include: observations on the use of Advanced Driver Assistance Systems (ADAS) and production level automated driving features (Autopilot, Pilot Assist, Super Cruise, etc.); the shifting nature of what we do in modern vehicles, challenging what is today’s distraction - secondary tasks or driving; and key points to consider regarding the future of robots on our roads. How might the intersection of artificial intelligence embodied in one the most complex activities humans perform - intersect with society’s demand for economical, efficient and safe mobility? How can human factors insight, psychological research, and policy leadership help to accelerate innovations that will someday change how we live and move? How fast might the automated, electrified future of mobility really take hold?
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11:10am - 11:20am

Break

11:20am - 11:50am

Certifiable Perception for High-Integrity Autonomous Systems
Robot perception and computer vision have witnessed an unprecedented progress in the last decade. Robots and autonomous vehicles are now able to detect objects, localize them, and create large-scale maps of an unknown environment, which are crucial capabilities for navigation and manipulation. Despite these advances, both researchers and practitioners are well aware of the brittleness of current perception systems, and a large gap still separates robot and human perception. While many applications can afford occasional failures (e.g., AR/VR, domestic robotics), high-integrity autonomous systems (including self-driving vehicles) demand a new generation of algorithms. This talk discusses two efforts targeted at bridging this gap. The first focuses on robustness: I present recent advances in the design of certifiable perception algorithms that are robust to extreme amounts of outliers and afford performance guarantees. These algorithms are “hard to break” and are able to work in regimes where all related techniques fail. The second effort targets high-level understanding. While humans are able to quickly grasp both geometric and semantic aspects of a scene, high-level scene understanding remains a challenge for robotics. I present recent work on real-time metric-semantic understanding, which combines robust estimation with deep learning.
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11:55am - 12:25pm

Challenges and Opportunities in Automated Driving
This talk will describe some of the challenges and opportunities in autonomy research today, with a focus on trends and lessons in self-driving research. We will discuss some of the major challenges and research opportunities in self-driving, including building and maintaining high-resolution maps, interacting with humans both inside and outside of vehicles, dealing with adverse weather, and achieving sufficiently high detection with low probabilities of false alarms in challenging settings. We will review the different approaches to automated driving, including SAE Level 2 and SAE Level 4 systems, as well as the Toyota Guardian approach, which flips the conventional mindset from having the human guard the AI (as in SAE Level 2 systems) to instead using AI to guard the human driver. We will discuss research opportunities in mapping, localization, perception, prediction, and planning and control to realize improved safety through advanced automation in the future.
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12:25pm - 12:30pm

Announcement of Follow-up Sessions

* All schedule and speakers are subject to change without notice.