United States Department of Transportation
i
Intelligent Driving Intelligence Test for Autonomous Vehicles with Naturalistic and Adversarial Environment
-
2021-02-01
-
[PDF-2.97 MB]
Details:
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
DOI:
-
Resource Type:
-
Right Statement:
-
Geographical Coverage:
-
Corporate Publisher:
-
Abstract:Driving intelligence tests are 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.
-
Content Notes:This is an open access article under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/. Please cite this article as: Feng, S., Yan, X., Sun, H. et al. Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment. Nat Commun 12, 748 (2021). https://doi.org/10.1038/s41467-021-21007-8
-
Format:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type:
