Visible to the public Integrating Neurophysiological Sensors and Driver Models for Safe and Performant Automated Vehicle Control in Mixed TrafficConflict Detection Enabled

TitleIntegrating Neurophysiological Sensors and Driver Models for Safe and Performant Automated Vehicle Control in Mixed Traffic
Publication TypeConference Paper
Year of Publication2019
AuthorsWerner Damm, Martin Fränzle, Andreas Lüdtke, Jochem W. Rieger, Alexander Trende, Anirudh Unni
Conference NameWorkshop on Human Factors in Intelligent Vehicles
PublisherIEEE
Conference LocationParis, France
Keywordsautomotive, detection, driver models, driving behavior modeling, HAV, Highly Automated Vehicles, Human Behavior, human interaction, human operated traffic, neurophysiological sensors, Performance optimization, Safety, Transportation
Abstract

In the future, mixed traffic Highly Automated Vehicles (HAV) will have to resolve interactions with human operated traffic. A particular problem for HAVs is the 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.

URLhttps://arxiv.org/pdf/1902.04929.pdf
Citation Keynode-62084