000 03746nam a22003735i 4500
001 287227
003 MX-SnUAN
005 20170705134215.0
007 cr nn 008mamaa
008 150903s2011 xxk| o |||| 0|eng d
020 _a9781447122807
_99781447122807
024 7 _a10.1007/9781447122807
_2doi
035 _avtls000339543
039 9 _a201509030839
_bVLOAD
_c201404300401
_dVLOAD
_y201402060937
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTA1637-1638
100 1 _aCheng, Hong.
_eautor
_9316292
245 1 0 _aAutonomous Intelligent Vehicles :
_bTheory, Algorithms, and Implementation /
_cby Hong Cheng.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2011.
300 _ax, 152 páginas 74 ilustraciones, 10 ilustraciones en color.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aAdvances in Computer Vision and Pattern Recognition,
_x2191-6586
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
776 0 8 _iEdición impresa:
_z9781447122791
856 4 0 _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)
942 _c14
999 _c287227
_d287227