학술논문

Integrating Neurophysiological Sensors and Driver Models for Safe and Performant Automated Vehicle Control in Mixed Traffic
Document Type
Conference
Source
2019 IEEE Intelligent Vehicles Symposium (IV) Intelligent Vehicles Symposium (IV), 2019 IEEE. :82-89 Jun, 2019
Subject
Transportation
Sensors
Physiology
Safety
Automobiles
Load modeling
Turning
Language
ISSN
2642-7214
Abstract
In future mixed traffic Highly Automated Vehicles (HAV) will have to resolve interactions with human operated traffic. A particular problem for HAVs is detection of human states influencing safety critical decisions and driving behavior of humans. We demonstrate the value proposition of neurophysiological sensors and driver models for optimizing performance of HAVs under safety constraints in mixed traffic applications.