000			03310nam a22004095i 4500
988			_aSpringer_Robotics_2020
999			_c116993 _d116993 _x1
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003			ES-MaUEC
005			20230110040252.0
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008			190614s2020 gw | s |||| 0|eng d
020			_a9783658269494
024	7		_a10.1007/978-3-658-26949-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.5915 _b2020 EB
100	1		_aNguyen, Tuan Tran _eautor _9672135
245	1	2	_aA reliability-aware fusion concept toward robust ego-lane estimation incorporating multiple sources _cby Tuan Tran Nguyen
250			_aFirst edition
264		1	_aWiesbaden _bSpringer Fachmedien Wiesbaden _c2020
300			_a1 recurso en línea (XXIII, 164 páginas) _b84 ilustraciones, 25 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	1		_aAutoUni - Schriftenreihe _x1867-3635 _v140
490	0		_aTechnologies and Robotics (Springer-42732)
505	0		_aReliability-Aware Fusion Framework -- Assessing and Learning Reliability for Ego-Lane Estimation -- Reliability-Based Ego-Lane Estimation Using Multiple Sources.
520	3		_aTo tackle the challenges of the road estimation task, many works employ a fusion of multiple sources. By that, a commonly made assumption is that the sources always are equally reliable. However, this assumption is inappropriate since each source has certain advantages and drawbacks depending on the operational scenarios. Therefore, Tuan Tran Nguyen proposes a novel concept by incorporating reliabilities into the multi-source fusion so that the road estimation task can alternately select only the most reliable sources. Thereby, the author estimates the reliability for each source online using classifiers trained with the sensor measurements, the past performance and the context. Using real data recordings, he shows via experimental results that the presented reliability-aware fusion increases the availability of automated driving up to 7 percentage points compared to the average fusion. Contents Reliability-Aware Fusion Framework Assessing and Learning Reliability for Ego-Lane Estimation Reliability-Based Ego-Lane Estimation Using Multiple Sources Target Groups Scientists and students in the fields of IT, fusion and automated driving Engineers working in industrial research and development of automated driving About the Author Tuan Tran Nguyen received the Master's degree in computer science and the Ph.D. degree from Otto-von-Guericke University Magdeburg, Germany, in 2013 and 2019, respectively. His research focuses on methods and architectures for reliability-based sensor fusion in intelligent vehicles.
650		7	_2embne _9666053 _aComputación ubicua
650		7	_2embne _aRedes de sensores inalámbricas _9441179
776	0	8	_iPrinted edition: _z9783658269487
776	0	8	_iPrinted edition: _z9783658269500
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-658-26949-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_dz _feng _ggw _h0 _b01/2020 _eel _zSI