Event Description
Abstract
Driving intelligence test is critical to the development
and deployment of autonomous vehicles. The
prevailing approach tests autonomous vehicles in life-
like simulations of the naturalistic driving environment.
However, due to the high dimensionality of the
environment and the rareness of safety-critical events,
hundreds of millions of miles would be required to
demonstrate the safety performance of autonomous
vehicles, which is severely inefficient. We discover that
sparse but adversarial adjustments to the naturalistic driving environment, resulting in the
naturalistic and adversarial driving environment, can significantly reduce the required test
miles without loss of evaluation unbiasedness. By training the background vehicles to
learn when to execute what adversarial maneuver, the proposed environment becomes
an intelligent environment for driving intelligence testing. We demonstrate the
effectiveness of the proposed environment in a highway-driving simulation. Comparing
with the naturalistic driving environment, the proposed environment can accelerate the
evaluation process by multiple orders of magnitude.
ZOOM LINK: Meeting ID: 950 6760 3617; Passcode: 426506
https://stonybrook.zoom.us/j/95067603617?pwd=dXQybEprSkNlTFY3WHlWYjViUG…
Bio
Professor Henry Liu is a professor in the Department of Civil and Environmental
Engineering at the University of Michigan, Ann Arbor. He is also a Research Professor at
the University of Michigan Transportation Research Institute and the Director for the
Center for Connected and Automated Transportation (USDOT Region 5 University
Transportation Center). Prof. Liu conducts interdisciplinary research at the interface
between civil and mechanical engineering. Specifically, his scholarly interests concern
traffic flow monitoring, modeling, and control, as well as testing and evaluation of
connected and automated vehicles. He has published more than 100 refereed journal
papers and is listed as one of the top 50 leading authors in the past 50 years (1969-2019)
in the prestigious Transportation Research journal. Professor Liu and his work have been
widely recognized in public media for promoting smart transportation innovations. He has
appeared on media outlets including CNBC, Forbes, Technode, etc. In 2019, Professor
Liu was invited to testify on national transportation research agenda in front of the US
House Subcommittee on Research and Technology. Professor Liu has nurtured a new
generation of scholars, and some of his PhD students and postdocs have joined first class
universities such as Columbia University, Purdue University, RPI, etc. Prof. Liu is the
managing editor of Journal of Intelligent Transportation Systems.
