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008 | 150903s2011 xxk| o |||| 0|eng d | ||
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_a9781447122807 _99781447122807 |
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024 | 7 |
_a10.1007/9781447122807 _2doi |
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_a201509030839 _bVLOAD _c201404300401 _dVLOAD _y201402060937 _zstaff |
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_aMX-SnUAN _bspa _cMX-SnUAN _erda |
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050 | 4 | _aTA1637-1638 | |
100 | 1 |
_aCheng, Hong. _eautor _9316292 |
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245 | 1 | 0 |
_aAutonomous Intelligent Vehicles : _bTheory, Algorithms, and Implementation / _cby Hong Cheng. |
264 | 1 |
_aLondon : _bSpringer London : _bImprint: Springer, _c2011. |
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300 |
_ax, 152 páginas 74 ilustraciones, 10 ilustraciones en color. _brecurso en línea. |
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_atexto _btxt _2rdacontent |
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_acomputadora _bc _2rdamedia |
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_arecurso en línea _bcr _2rdacarrier |
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_aarchivo de texto _bPDF _2rda |
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490 | 0 |
_aAdvances in Computer Vision and Pattern Recognition, _x2191-6586 |
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500 | _aSpringer eBooks | ||
505 | 0 | _aPart I: Autonomous Intelligent Vehicles -- Introduction -- The State of the Art in USA -- The Framework of Intelligent Vehicles -- Part II: Environment Perception and Modeling -- Road Detection and Tracking -- Vehicle Detection and Tracking -- Multiple-Sensor Based Multiple-Object Tracking -- Part III: Vehicle Localization and Navigation -- An Integrated DGPS/IMU Positioning Approach -- Vehicle Navigation Using Global Views -- Part IV: Advanced Vehicle Motion Control -- Lateral Motion Control for Intelligent Vehicles -- Longitudinal Motion Control for Intelligent Vehicles. | |
520 | _aAutonomous intelligent vehicles pose unique challenges in robotics, that encompass issues of environment perception and modeling, localization and map building, path planning and decision-making, and motion control. This important text/reference presents state-of-the-art research on intelligent vehicles, covering not only topics of object/obstacle detection and recognition, but also aspects of vehicle motion control. With an emphasis on both high-level concepts, and practical detail, the text links theory, algorithms, and issues of hardware and software implementation in intelligent vehicle research. Topics and features: Presents a thorough introduction to the development and latest progress in intelligent vehicle research, and proposes a basic framework Provides detection and tracking algorithms for structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms using boosted Gabor features Discusses an approach for multiple sensor-based multiple-object tracking, in addition to an integrated DGPS/IMU positioning approach Examines a vehicle navigation approach using global views Introduces algorithms for lateral and longitudinal vehicle motion control An essential reference for researchers in the field, the broad coverage of all aspects of this research will also appeal to graduate students of computer science and robotics who are interested in intelligent vehicles. Dr. Hong Cheng is Professor in the School of Automation Engineering, and Director of the Pattern Recognition and Machine Intelligence Institute at the University of Electronic Science and Technology of China. | ||
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
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_iEdición impresa: _z9781447122791 |
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_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4471-2280-7 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
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