Advanced Drivers Assistant Systems in Automation
Identifieur interne : 005903 ( Main/Exploration ); précédent : 005902; suivant : 005904Advanced Drivers Assistant Systems in Automation
Auteurs : Caterina Caleefato [Italie] ; Roberto Montanari [Italie] ; Fabio Tango [Italie]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: One of the current research areas in automotive field is aimed at improving driving safety with regards to the development of preventive support systems, also called ADAS (Advanced Driver Assistance Systems). These systems are able to detect a critical situation and to inform timely the driver, so that a repairing maneuver can be performed. From the human factors point of view, driving is considered as a complex cognitive task that can be summarized by four main sub-processes: perception, analysis, decision and action . To be performed, each phase presumes the achievement of the previous one, An exception occurs when humans overcome planning / decision phase and go directly from analysis / interpretation to action / execution (almost in automatic way). This paper intends to propose, following the main literature on human-centered automation, how the ADAS intervention can be designed without negative impact on driving safety. In particular, a forward collision warning has been studied. For this study, the Levels Of Automation (LOA) classified by Parasuramam and Sheridan (2000) has been used as well as the studies in the domain of the so-called Adaptive Automation (AA) (Kaber Riley, Endsley 2001; Scerbo 1996), that allow to adapt the information to the driver’s workload and to the context level of dangerousness.
Url:
DOI: 10.1007/978-3-540-73107-8_85
Affiliations:
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These systems are able to detect a critical situation and to inform timely the driver, so that a repairing maneuver can be performed. From the human factors point of view, driving is considered as a complex cognitive task that can be summarized by four main sub-processes: perception, analysis, decision and action . To be performed, each phase presumes the achievement of the previous one, An exception occurs when humans overcome planning / decision phase and go directly from analysis / interpretation to action / execution (almost in automatic way). This paper intends to propose, following the main literature on human-centered automation, how the ADAS intervention can be designed without negative impact on driving safety. In particular, a forward collision warning has been studied. For this study, the Levels Of Automation (LOA) classified by Parasuramam and Sheridan (2000) has been used as well as the studies in the domain of the so-called Adaptive Automation (AA) (Kaber Riley, Endsley 2001; Scerbo 1996), that allow to adapt the information to the driver’s workload and to the context level of dangerousness.</div></front></TEI><affiliations><list><country><li>Italie</li></country></list><tree><country name="Italie"><noRegion><name sortKey="Caleefato, Caterina" sort="Caleefato, Caterina" uniqKey="Caleefato C" first="Caterina" last="Caleefato">Caterina Caleefato</name></noRegion><name sortKey="Montanari, Roberto" sort="Montanari, Roberto" uniqKey="Montanari R" first="Roberto" last="Montanari">Roberto Montanari</name><name sortKey="Montanari, Roberto" sort="Montanari, Roberto" uniqKey="Montanari R" first="Roberto" last="Montanari">Roberto Montanari</name><name sortKey="Tango, Fabio" sort="Tango, Fabio" uniqKey="Tango F" first="Fabio" last="Tango">Fabio Tango</name><name sortKey="Tango, Fabio" sort="Tango, Fabio" uniqKey="Tango F" first="Fabio" last="Tango">Fabio Tango</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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