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| 999 |
_c11824 _d11824 |
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| 001 | 978-3-319-44926-5 | ||
| 003 | DE-He213 | ||
| 005 | 20211208132102.0 | ||
| 008 | 160907s2017 gw | s |||| 0|eng d | ||
| 020 | _a9783319449265 | ||
| 040 | _cAIKTC-KRRC | ||
| 041 | _aENG | ||
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_aTNH _2bicssc |
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_aTEC009020 _2bisacsh |
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_aTNH _2thema |
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| 082 | 0 | 4 |
_a629.04 _223 |
| 100 | 1 |
_aSun, Rui. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 245 | 1 | 3 |
_aIntegrated Solution Based Irregular Driving Detection _h[electronic resource] / |
| 250 | _a1st ed. 2017. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
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| 300 |
_aXXVIII, 127 p. 84 illus., 75 illus. in color. _bCard Paper |
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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 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5053 |
|
| 520 | _aThis thesis introduces a new integrated algorithm for the detection of lane-level irregular driving. To date, there has been very little improvement in the ability to detect lane level irregular driving styles, mainly due to a lack of high performance positioning techniques and suitable driving pattern recognition algorithms. The algorithm combines data from the Global Positioning System (GPS), Inertial Measurement Unit (IMU) and lane information using advanced filtering methods. The vehicle state within a lane is estimated using a Particle Filter (PF) and an Extended Kalman Filter (EKF). The state information is then used within a novel Fuzzy Inference System (FIS) based algorithm to detect different types of irregular driving. Simulation and field trial results are used to demonstrate the accuracy and reliability of the proposed irregular driving detection method. | ||
| 650 | 0 |
_aCivil Engineering _94621 |
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| 653 | _aTransportation Technology and Traffic Engineering. | ||
| 653 | _aSignal, Image and Speech Processing. | ||
| 653 | _aQuality Control, Reliability, Safety and Risk. | ||
| 653 | _aComputer Applications. | ||
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319449258 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319449272 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319831640 |
| 830 | 0 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5053 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1007/978-3-319-44926-5 _zClick here to access eBook in Springer Nature platform. (Within Campus only.) |
| 942 |
_cEBOOKS _2ddc |
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