| 000 | 03140nam a22005775i 4500 | ||
|---|---|---|---|
| 001 | 978-981-13-6155-5 | ||
| 003 | DE-He213 | ||
| 005 | 20220801214835.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 190315s2019 si | s |||| 0|eng d | ||
| 020 |
_a9789811361555 _9978-981-13-6155-5 |
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| 024 | 7 |
_a10.1007/978-981-13-6155-5 _2doi |
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| 050 | 4 | _aTL1-483 | |
| 072 | 7 |
_aTRC _2bicssc |
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_aTEC009090 _2bisacsh |
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_aTRC _2thema |
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_a629.2 _223 |
| 100 | 1 |
_aWang, Shifeng. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _940783 |
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| 245 | 1 | 0 |
_aRoad Terrain Classification Technology for Autonomous Vehicle _h[electronic resource] / _cby Shifeng Wang. |
| 250 | _a1st ed. 2019. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2019. |
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| 300 |
_aXVI, 97 p. 43 illus., 32 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aUnmanned System Technologies, _x2523-3742 |
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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 | _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 | 0 |
_aAutomotive engineering. _940784 |
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| 650 | 0 |
_aArtificial intelligence. _93407 |
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| 650 | 0 |
_aTransportation engineering. _93560 |
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| 650 | 0 |
_aTraffic engineering. _915334 |
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| 650 | 0 |
_aSignal processing. _94052 |
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| 650 | 1 | 4 |
_aAutomotive Engineering. _940785 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
| 650 | 2 | 4 |
_aTransportation Technology and Traffic Engineering. _932448 |
| 650 | 2 | 4 |
_aSignal, Speech and Image Processing . _931566 |
| 710 | 2 |
_aSpringerLink (Online service) _940786 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811361548 |
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_iPrinted edition: _z9789811361562 |
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_iPrinted edition: _z9789811361579 |
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_aUnmanned System Technologies, _x2523-3742 _940787 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-13-6155-5 |
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