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dc.contributor.author
 hal.structure.identifier
HALIT, Lynda
133641 Technocentre Renault [Guyancourt]
40831 Laboratoire Informatique, Image et Interaction - EA 2118 [L3I]
dc.contributor.author
 hal.structure.identifier
KEMENY, Andras
121997 Centre Technique de Simulation
133641 Technocentre Renault [Guyancourt]
dc.contributor.author
 hal.structure.identifier
MICHELIN, Sylvain
40831 Laboratoire Informatique, Image et Interaction - EA 2118 [L3I]
dc.contributor.author
 hal.structure.identifier
ALBAUT, Valentin
174102 THEORIS
dc.contributor.author
 hal.structure.identifier
MERIENNE, Frédéric
22594 Laboratoire Electronique, Informatique et Image [UMR6306] [Le2i]
dc.contributor.authorGARBAYA, Samir
dc.date.accessioned2015
dc.date.available2015
dc.date.issued2014
dc.date.submitted2015
dc.identifier.isbn9781495120985
dc.identifier.urihttp://hdl.handle.net/10985/10028
dc.description.abstractResearch and technological advance in the field of Augmented Reality (AR) is growing rapidly (Mas, 2011). One of the new application domains is the automobile industry, linked to the necessary men machine aspects of Advanced Driving Assistance Systems (ADAS). Relevant road traffic as well as useful navigation or path planning information may be displayed using partially or totally the windshield surface thanks to these emerging technologies. However, the way road traffic, signs or vehicle information is displayed impacts strongly driver’s attention with increased mental workload and safety concerns. Research in perceptual and human factors assessment is needed for relevant and correct display of this information for maximal road traffic safety as well as optimal driver comfort. At Renault, research is carried out in a number of automotive AR domains: the used information type and visual grammar, visual perception for the displayed information (depth, localization), and real time mixed reality, that is matching virtual and real environment. The main goal of this presented experiment was to study whether head movement impacts AR depth perception and thus modifying displayed image quality and decreasing driver performance. For this purpose, a driving simulator experiment, carried out in the CAVE Immersive Integration Platform (P2I) Driving Simulator, we analyzed: driver head movements during different realistic situations, preferences scale in each specific situation, and thus with and without head tracked conditions. Primary data shows a strong preference for the tracked system condition and the statistical scale factor was very significant.
dc.language.isoen
dc.publisherAHFE International
dc.rightsPost-print
dc.subjectAugmented Reality (AR)
dc.subjectHead-Up-Display (HUD)
dc.subjectHead Motion Parallax
dc.subjectAdvanced Driver Assistance Systems (ADAS)
dc.subjectDriving Simulation
dc.subjectCognitive Psychology
dc.subjectHuman Factors
dc.subjectErgonomics
dc.titleAugmented Reality Head-Up-Display for Advanced Driver Assistance System: A Driving Simulation Study
dc.typdocCommunication avec acte
dc.localisationInstitut de Chalon sur Saône
dc.subject.halInformatique: Interface homme-machine
dc.subject.halInformatique: Synthèse d'image et réalité virtuelle
ensam.audienceInternationale
ensam.conference.title5th International Conference on Applied Human Factors and Ergonomics
ensam.conference.date2014-07-19
ensam.countryPologne
ensam.title.proceeding5th International Conference on Applied Human Factors and Ergonomics: Advances in Human Aspects of Transportation Part II
ensam.page149-157
ensam.cityKrakow
hal.identifierhal-01200603
hal.version1
hal.statusaccept


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