The Predictive Corridor: A Virtual Augmented Driving Assistance System for Teleoperated Autonomous Vehicles

dc.contributor.authorGraf, Gaetanoen_US
dc.contributor.authorAbdelrahman, Yomnaen_US
dc.contributor.authorXu, Haoen_US
dc.contributor.authorAbdrabou, Yasmeenen_US
dc.contributor.authorSchitz, Dmitrijen_US
dc.contributor.authorHußmann, Heinrichen_US
dc.contributor.authorAlt, Florianen_US
dc.contributor.editorArgelaguet, Ferran and McMahan, Ryan and Sugimoto, Makien_US
dc.date.accessioned2020-12-01T16:10:18Z
dc.date.available2020-12-01T16:10:18Z
dc.date.issued2020
dc.description.abstractAutonomous vehicles offer a driverless future, however, despite the rapid progress in ubiquitous technologies, human situational assessment continues to be required. For example, upon recognizing an obstacle on the road a request might be routed to a teleoperator, who can assess and manage the situation with the help of a dedicated workspace. A common solution to this problem is direct remote steering. Thereby a key problem in teleoperation is the time latency and low remote situational awareness. To solve this issue we present the Predictive Corridor (PC), a virtual augmented driving assistance system for teleoperated autonomous vehicles. In a user study (N =32), we evaluated the PC by employing three measures: performance, subjective and physiological measures. The results demonstrate that driving with the PC is less cognitively demanding, improves operational performance, and nonetheless can visually compensate for the effect of the time delay between the teleoperator and the vehicle. This technology, therefore, is promising for being applied in future teleoperation applications.en_US
dc.description.sectionheadersMixed Reality Applications
dc.description.seriesinformationICAT-EGVE 2020 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments
dc.identifier.doi10.2312/egve.20201260
dc.identifier.isbn978-3-03868-111-3
dc.identifier.issn1727-530X
dc.identifier.pages61-69
dc.identifier.urihttps://doi.org/10.2312/egve.20201260
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egve20201260
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman centered computing
dc.subjectUser studies
dc.titleThe Predictive Corridor: A Virtual Augmented Driving Assistance System for Teleoperated Autonomous Vehiclesen_US
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