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710 2 _aSpringerLink (Online service)
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020 _a9789811361555
024 7 _a10.1007/978-981-13-6155-5
_2doi
040 _bspa
_dES-MaUEC
050 4 _aTL152.8
_b2019 EB
100 1 _aWang, Shifeng.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aRoad Terrain Classification Technology for Autonomous Vehicle
_cby Shifeng Wang.
264 1 _aSingapore
_bSpringer Singapore :
_bImprint: Springer
_c2019.
300 _a1 recurso en línea (XVI, 97 páginas)
_b 43 ilustraciones, 32 ilustraciones a color
347 _atext file
_bPDF
490 0 _aEngineering (Springer-11647)
490 0 _aUnmanned System Technologies
_x2523-3734
505 0 _aIntroduction -- Review of Related Work -- Acceleration Based Road Terrain Classification -- Image Based Road Terrain Classification -- LRF Based Road Terrain Classification -- Multiple-Sensor Based Road Terrain Classification -- Conclusion and Future Direction.
520 3 _aThis book provides cutting-edge insights into autonomous vehicles and road terrain classification, and introduces a more rational and practical method for identifying road terrain. It presents the MRF algorithm, which combines the various sensors' classification results to improve the forward LRF for predicting upcoming road terrain types. The comparison between the predicting LRF and its corresponding MRF show that the MRF multiple-sensor fusion method is extremely robust and effective in terms of classifying road terrain. The book also demonstrates numerous applications of road terrain classification for various environments and types of autonomous vehicle, and includes abundant illustrations and models to make the comparison tables and figures more accessible. .
650 7 _aVehículos de motor
_xControl automático
_2embne
776 0 8 _iPrinted edition:
_z9789811361548
776 0 8 _iPrinted edition:
_z9789811361562
776 0 8 _iPrinted edition:
_z9789811361579
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-6155-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
988 _aPrimersemestre_2019_Engineering
998 _aSI
_b09/2019
_cm
_dz
_ea
_feng
_ggw
_h0