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| 710 | 2 |
_aSpringerLink (Online service) _9106996 |
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_c111030 _d111030 |
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| 001 | 111030 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102113450.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 008 | 190315s2019 si a s |||| 0|eng d | ||
| 020 | _a9789811361555 | ||
| 024 | 7 |
_a10.1007/978-981-13-6155-5 _2doi |
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| 040 |
_bspa _dES-MaUEC |
||
| 050 | 4 |
_aTL152.8 _b2019 EB |
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| 100 | 1 |
_aWang, Shifeng. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aRoad Terrain Classification Technology for Autonomous Vehicle _cby Shifeng Wang. |
| 264 | 1 |
_aSingapore _bSpringer Singapore : _bImprint: Springer _c2019. |
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| 300 |
_a1 recurso en línea (XVI, 97 páginas) _b 43 ilustraciones, 32 ilustraciones a color |
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| 347 |
_atext file _bPDF |
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| 490 | 0 | _aEngineering (Springer-11647) | |
| 490 | 0 |
_aUnmanned System Technologies _x2523-3734 |
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| 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 |
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| 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 |
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