000 | 04511nam a2200745 i 4500 | ||
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001 | 8794726 | ||
003 | IEEE | ||
005 | 20200413152933.0 | ||
006 | m eo d | ||
007 | cr cn |||m|||a | ||
008 | 190827s2019 caua ob 000 0 eng d | ||
020 |
_a9781681736082 _qelectronic |
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020 |
_z9781681736167 _qhardcover |
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020 |
_z9781681736075 _qpaperback |
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024 | 7 |
_a10.2200/S00932ED1V01Y201906AAT008 _2doi |
|
035 | _a(CaBNVSL)thg00979392 | ||
035 | _a(OCoLC)1113932953 | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
||
050 | 4 |
_aTL152.8 _b.K888 2019eb |
|
082 | 0 | 4 |
_a629.2220285 _223 |
100 | 1 |
_aKuutti, Sampo, _eauthor. |
|
245 | 1 | 0 |
_aDeep learning for autonomous vehicle control : _balgorithms, state-of-the-art, and future prospects / _cSampo Kuutti, Saber Fallah, Richard Bowden, Phil Barber. |
264 | 1 |
_a[San Rafael, California] : _bMorgan & Claypool, _c[2019] |
|
300 |
_a1 PDF (xiii, 66 pages) : _billustrations (some color). |
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336 |
_atext _2rdacontent |
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337 |
_aelectronic _2isbdmedia |
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338 |
_aonline resource _2rdacarrier |
||
490 | 1 |
_aSynthesis lectures on advances in automotive technology, _x2576-8131 ; _v#8 |
|
538 | _aMode of access: World Wide Web. | ||
538 | _aSystem requirements: Adobe Acrobat Reader. | ||
500 | _aPart of: Synthesis digital library of engineering and computer science. | ||
504 | _aIncludes bibliographical references (pages 45-64). | ||
505 | 0 | _a1. Introduction -- 2. Deep learning -- 2.1. Neural network architectures -- 2.2. Supervised learning -- 2.3. Reinforcement learning -- 2.4. Further reading | |
505 | 8 | _a3. Deep learning for vehicle control -- 3.1. Autonomous vehicle control -- 3.2. Research challenges -- 3.3. Summary | |
505 | 8 | _a4. Safety validation of neural networks -- 4.1. Validation techniques -- 4.2. Discussion -- 4.3. Summary -- 5. Concluding remarks. | |
506 | _aAbstract freely available; full-text restricted to subscribers or individual document purchasers. | ||
510 | 0 | _aCompendex | |
510 | 0 | _aINSPEC | |
510 | 0 | _aGoogle scholar | |
510 | 0 | _aGoogle book search | |
520 | _aThe next generation of autonomous vehicles will provide major improvements in traffic flow, fuel efficiency, and vehicle safety. Several challenges currently prevent the deployment of autonomous vehicles, one aspect of which is robust and adaptable vehicle control. Designing a controller for autonomous vehicles capable of providing adequate performance in all driving scenarios is challenging due to the highly complex environment and inability to test the system in the wide variety of scenarios which it may encounter after deployment. However, deep learning methods have shown great promise in not only providing excellent performance for complex and non-linear control problems, but also in generalizing previously learned rules to new scenarios. For these reasons, the use of deep neural networks for vehicle control has gained significant interest. In this book, we introduce relevant deep learning techniques, discuss recent algorithms applied to autonomous vehicle control, identify strengths and limitations of available methods, discuss research challenges in the field, and provide insights into the future trends in this rapidly evolving field. | ||
530 | _aAlso available in print. | ||
588 | _aTitle from PDF title page (viewed on June 26, 2019). | ||
650 | 0 |
_aAutomobiles _xAutomatic control. |
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650 | 0 | _aMachine learning. | |
653 | _aartificial intelligence | ||
653 | _amachine learning | ||
653 | _adeep learning | ||
653 | _aneural networks | ||
653 | _acomputer vision | ||
653 | _aautonomous vehicles | ||
653 | _aintelligent transportation systems | ||
653 | _aadvanced driver assistance systems | ||
653 | _avehicle control | ||
653 | _ainterpretability | ||
653 | _asafety validation | ||
700 | 1 |
_aFallah, Saber, _eauthor. |
|
700 | 1 |
_aBowden, Richard _c(Ph. D. in computer vision), _eauthor. |
|
700 | 1 |
_aBarber, Phil _c(Ph. D. in automotive fuel injection system dynamics), _eauthor. |
|
776 | 0 | 8 |
_iPrint version: _z9781681736075 _z9781681736167 |
830 | 0 | _aSynthesis digital library of engineering and computer science. | |
830 | 0 |
_aSynthesis lectures on advances in automotive technology ; _v#8. |
|
856 | 4 | 0 |
_3Abstract with links to full text _uhttps://doi.org/10.2200/S00932ED1V01Y201906AAT008 |
856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/servlet/opac?bknumber=8794726 |
999 |
_c562428 _d562428 |