Plenary speakers - Revision history

Faber at 08:43, 29 June 2016

2016-06-29T08:43:41Z

Noack at 07:53, 18 June 2016

2016-06-18T07:53:42Z

Noack at 07:52, 18 June 2016

2016-06-18T07:52:00Z

Faber at 13:27, 16 June 2016

2016-06-16T13:27:51Z

Faber at 13:27, 16 June 2016

2016-06-16T13:27:09Z

Faber at 11:46, 13 June 2016

2016-06-13T11:46:17Z

Faber at 10:58, 13 June 2016

2016-06-13T10:58:17Z

Faber at 07:50, 1 April 2016

2016-04-01T07:50:09Z

Faber at 10:20, 21 March 2016

2016-03-21T10:20:43Z

Faber at 15:06, 2 March 2016

2016-03-02T15:06:04Z

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 === <div align="center">Oliver Pink, Robert Bosch GmbH, Abstatt, Germany</div> ===
 ==== <div align="center">Challenges on the Way to Automated Driving</div> ====

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 The plenary talks at the 19th International Conference on Information Fusion will feature the following keynote speakers:
 * [[Plenary_speakers#speaker1| Wednesday, July 6: Fredrik Gustafsson (Linköping University, Linköping, Sweden)]]
 * [[Plenary_speakers#speaker2| Thursday, July 7: Simon Godsill (University of Cambridge, Cambridge, United Kingdom)]]
 * [[Plenary_speakers#speaker3| Friday, July 8: Ba Tuong Vo (Curtin University, Perth, Australia)]]
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 '''Simon Godsill''' is Professor of Statistical Signal Processing in the Engineering Department at Cambridge University.  He is also a Professorial Fellow and tutor at Corpus Christi College Cambridge.  He coordinates an active research group in Signal Inference and its Applications and is Head of the Signal Processing and Communications Laboratory at Cambridge. His group specialises in Bayesian computational methodology, multiple object tracking, audio and music processing, and financial time series modeling. A particular methodological theme over recent years has been the development of novel techniques for optimal Bayesian filtering and smoothing, using Sequential Monte Carlo or Particle Filtering methods.  Prof. Godsill has published extensively in journals, books and international conference proceedings, and has given a number of high profile invited and plenary addresses at conferences such as the Valencia  conference on Bayesian Statistics (twice), the IEEE Statistical Signal Processing Workshop, the Conference on Bayesian Inference for Stochastic Processes (BISP), the IEEE Workshop on Machine Learning in Signal Processing (2013) and FUSION (2016). He co-authored a Springer text Digital Audio Restoration with Prof. Peter Rayner in 1998. He was technical chair of the IEEE NSSPW workshop in 2006 on sequential and nonlinear filtering methods, and has been on the conference panel for numerous other conferences/workshops. Prof. Godsill has served as Associate Editor for IEEE Tr. Signal Processing and the journal Bayesian Analysis. He was Theme Leader in Tracking and Reasoning over Time for the UK’s Data and Information Fusion Defence Technology Centre (DIF-DTC) and Principal Investigator on many grants funded by the EU, EPSRC, QinetiQ, General Dynamics, MOD, Microsoft UK, Citibank, Mastercard, Google, DSO Singapore, Huawei and Jaguar Landrover. In 2009-10 he was co-organiser of an 18 month research program in Sequential Monte Carlo Methods at the SAMSI Institute in North Carolina and in 2014 he co-organised a research programme at the Isaac Newton Institute on Sequential Monte Carlo methods. In 2018 he will be General Chair of the FUSION Conference in Cambridge. Two of his journal papers have recently received Best Paper awards from the IEEE and IET.  He continues to be a Director of CEDAR Audio Ltd. (which has received numerous accolades over the years, including a technical Oscar), and for which he was a founding staff member in 1988. The company has commercialised many of the ideas from Professor Godsill’s research over the years.
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 ==== <div align="center">Challenges on the Way to Automated Driving</div> ====
-Automated driving has become one of the major trends in automotive industry. While today's advanced driver assistance systems already help drivers reach their destinations safely and more comfortably, automated vehicles will be able to brake, accelerate, and steer the vehicle without permanent driver supervision.
+Automated driving has become one of the major trends in automotive industry. While today's advanced driver assistance systems already help drivers reach their destinations safely and more comfortably, automated vehicles will be able to brake, accelerate, and steer the vehicle without permanent driver supervision.<br />
 The increase in safety and functional requirements when transitioning from driver assistance to automated driving has great impact on the vehicle architecture, subsystems and vehicle components.

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 === <div align="center">Oliver Pink, Robert Bosch GmbH, Abstatt, Germany</div> ===
 ==== <div align="center">Challenges on the Way to Automated Driving</div> ====
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 [[File:IMG_0169.jpg|200px|frameless|left|Oliver Pink, Robert Bosch GmbH|link=]]
-'''Oliver Pink'''
+'''Oliver Pink''' is senior expert in the field of automated driving in the Chassis Systems Control division of Bosch in Abstatt, Germany. His current field of activity includes sensor fusion and environment perception for automated driving. He holds a Ph.D. in Mechanical Engineering and an M.Sc. in Electrical Engineering from the Karlsruhe Institute of Technology. His thesis topic was camera based vehicle localization. He has been active in several research areas related to automated driving since the 2007 DARPA Urban Challenge, where he participated as member of Team AnnieWay.
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