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Titlebook: Enhancing Cognitive Assistance Systems with Inertial Measurement Units; Wolfgang Günthner Book 2008 Springer-Verlag Berlin Heidelberg 2008

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發(fā)表于 2025-3-21 16:25:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Enhancing Cognitive Assistance Systems with Inertial Measurement Units
編輯Wolfgang Günthner
視頻videohttp://file.papertrans.cn/312/311280/311280.mp4
概述Presents recent research in Enhancing Cognitive Assistance Systems with Inertial Measurement Units.Well written approach to the seeing car
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Enhancing Cognitive Assistance Systems with Inertial Measurement Units;  Wolfgang Günthner Book 2008 Springer-Verlag Berlin Heidelberg 2008
描述1.1 Motivation Throughout the last decade, major car manufacturers have introduced a great - riety of di?erent assistance systems to make driving safer and more comfortable. Mechatronic systems like dynamic stability control, situation dependant suspension adjustment or the recently introduced night vision cameras are just a few examples among a range of helpful developments. The current focus of research is on cognitive assistance systems for high-level p- ception of the environment. Rather than present mere images to the driver, these future systems extract all relevant information and provide a reduced set that alerts to possible dangers or, in a further stage, directly takes over control of the vehicle to prevent accidents. TheseStepsTowardstheSeeingCar were presented as a keynote speech at theAdvancedMicrosystemsforAutomotiveApplications2007 conference byVolkswagen [87]. In addition to radar, ultrasonic and laser sensors, concepts include video cameras for the perception of the medium and far range. Video will play an especially important role in future driver assistance, since the tra?c environment is designed for human needs, and thus relies predominantly on visual cues. For
出版日期Book 2008
關(guān)鍵詞Active Vision; Computational Intelligence; Seeing Car; Sensor; algorithm; algorithms; control algorithm; pl
版次1
doihttps://doi.org/10.1007/978-3-540-76997-2
isbn_softcover978-3-642-09572-6
isbn_ebook978-3-540-76997-2Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2008
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Multi-Sensor Fusion Algorithms for Spatial Orientation Calculation,y reduced to the resolution of accelerations in a body frame to calculate a device’s inclination with respect to the vector of gravity. Current applications include handheld input controllers for maneuvering through virtual reality environments or simple gaming with Nintendo’s .. Sony’s ., which is
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Active Camera Stabilization,e commercially most relevant ones. In the automotive industry, only car fixed cameras are used for driver assistance systems up until now. Pivotable cameras can provide additional relevant information for evaluation of the environment. In aviation, inertially stabilized vision platforms are already
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Active Vision for Assistance Systems,Together with the general effort to increase energy efficiency, the main fields of research are comfort and safety..An efficient way to approach both topics is to strive for high-level driver assistance systems. Recently, . and . introduced infrared camera-based night vision, which was the first tim
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Book 2008r and more comfortable. Mechatronic systems like dynamic stability control, situation dependant suspension adjustment or the recently introduced night vision cameras are just a few examples among a range of helpful developments. The current focus of research is on cognitive assistance systems for hi
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Scientific State-of-the-Art,e respectively [91]. Displacement is detected by the deflection of hair cells raising from the macula into the gel layer..The resulting signal is transmitted via the vestibular nerve to the brain. The dynamic behavior of the otolithic system can be described with a low-pass characteristic.
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