详情

Machine Learning, Human Factors and Security Analysis for the Remote Command of Driving: An MCity Pilot

项目名称：	Machine Learning, Human Factors and Security Analysis for the Remote Command of Driving: An MCity Pilot
摘要：	Both human drivers and autonomous vehicles are now able to drive relatively well in �typical� (frequently- encountered) settings, but fail in exceptional cases. Worse, these exceptional cases often arise suddenly, leaving human drivers with a few seconds at best to react�exactly the setting that people perform worst in. This work proposes methods for leveraging groups of remote operators to provide assistance on- demand. Unlike prior work, we introduce collective workflows that enable groups of operators to significantly outperform any of the constituent individuals on control and correction tasks. We propose to develop a software platform for MCity that enables a group of remote operators to command the autonomous test vehicles at MCity. A pilot study will be conducted at the Mcity Test Facility.
状态：	Active
资金：	$178,371
资助组织：	Office of the Assistant Secretary for Research and Technology
管理组织：	Center for Connected and Automated Transportation
执行机构：	University of Michigan Computer Science and Engineering
主要研究人员：	Bao, Shan
开始时间：	20180901
预计完成日期：	20200831
实际结束时间：	0