Assessment and Support of Error Recognition in Automated Driving [Elektronische Ressource] / Wolfgang Spießl. Betreuer: Heinrich Hußmann
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Assessment and Support of Error Recognition in Automated Driving [Elektronische Ressource] / Wolfgang Spießl. Betreuer: Heinrich Hußmann

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AssessmentandSupportofErrorRecognitioninAutomatedDrivingWolfgangSpießlMünchen2011Assessment and Support of Error Recognition inAutomated DrivingWolfgang SpießlDissertationan der Fakultät für Mathematik, Informatik und Statistikder Ludwig-Maximilians-Universität Münchenvorgelegt vonDiplom-MedieninformatikerWolfgang SpießlMünchen, den 29. April 2011ivErstgutachter: Prof. Dr. Heinrich HußmannLudwig-Maximilians-Universität MünchenZweitgutachter: Prof. Dr. Klaus-Josef BenglerTechnische Universität MünchenTag der mündlichen Prüfung: 19. Juli 2011vAmbition is the path to success,persistence is the vehicle you arrive in.– William Eardley IV –viviiTo my family.viiiPreface ixPrefaceThis dissertation has been written in partial fulfillment of the requirements for the Degree ofDoctor of Natural Sciences in the Department of Mathematics, Informatics and Statistics at theUniversity of Munich (Ludwig-Maximilians-Universität München).From September 2007 to March 2010 I was a graduate student at the Ludwig-Maximilians-Universität München. All research described in this work has been carried out at the research anddevelopment facilities of BMW Group Research and Technology in cooperation with the chairof Media Informatics (LFE Medieninformatik) at the Ludwig-Maximilians-Universität München.A dissertation work cannot be created in isolation without the input and support of manypeople contributing in various ways.

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Publié par
Publié le 01 janvier 2011
Nombre de lectures 6
Langue English
Poids de l'ouvrage 8 Mo

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AssessmentandSupportofErrorRecognition
inAutomatedDriving
WolfgangSpießl
München2011Assessment and Support of Error Recognition in
Automated Driving
Wolfgang Spießl
Dissertation
an der Fakultät für Mathematik, Informatik und Statistik
der Ludwig-Maximilians-Universität München
vorgelegt von
Diplom-Medieninformatiker
Wolfgang Spießl
München, den 29. April 2011iv
Erstgutachter: Prof. Dr. Heinrich Hußmann
Ludwig-Maximilians-Universität München
Zweitgutachter: Prof. Dr. Klaus-Josef Bengler
Technische Universität München
Tag der mündlichen Prüfung: 19. Juli 2011v
Ambition is the path to success,
persistence is the vehicle you arrive in.
– William Eardley IV –vivii
To my family.viiiPreface ix
Preface
This dissertation has been written in partial fulfillment of the requirements for the Degree of
Doctor of Natural Sciences in the Department of Mathematics, Informatics and Statistics at the
University of Munich (Ludwig-Maximilians-Universität München).
From September 2007 to March 2010 I was a graduate student at the Ludwig-Maximilians-
Universität München. All research described in this work has been carried out at the research and
development facilities of BMW Group Research and Technology in cooperation with the chair
of Media Informatics (LFE Medieninformatik) at the Ludwig-Maximilians-Universität München.
A dissertation work cannot be created in isolation without the input and support of many
people contributing in various ways. Every decision in this work has not been made at the sole
discretion of myself, but is the result of intense communication and discussion. Especially in the
automotive domain, there are so many limitations and constraints to be considered that cannot
be overlooked by a single person. In all stadiums of this work, the initial phase, through the
process of ideation, in numerous brainstorming sessions, in the conception of solutions, during
the preparation of experiments and the interpretation of the results, professional as well as
unbiased feedback and experiences from colleagues and other researchers were invaluable and
always very welcome. Also in the practical part, implementation, testing, data analysis, etc., I
was grateful for every helping hand.
Therefore I decided to write this document using the scientific plural, accounting for the
support and counseling that helped to shape this work.x Preface
Acknowledgements
First of all I want to thank my supervisor Heinrich Hußmann for his willingness to support my
dissertation project. He was also the one who gave me the idea of such an undertaking. Despite
his many duties he always managed to find time for discussion, counseling and detailed feedback
on my work. But he also gave me the freedom of pursuing my work in an industrial environment.
Thank you very much for the encouragement.
I also would like to thank my second supervisor Klaus-Josef Bengler for the initial shaping of
the topic and his support. We have been working together for almost two years and I am grateful
for his persistence in making me present my work.
Special thanks go to Albrecht Schmidt who was not only my supervisor during my stud-
ies and the initial phase of this work, but also became a friend. He made it possible for me to
go to places, I would not have gone otherwise which was always an enriching experience. He
always pushed me a little further than I thought I could go. I am deeply grateful for this.
During my work at BMW Research and Technology, I had many discussions with my su-
periors Bernhard Niedermaier and Dirk Wisselmann whom I thank for their courtesy and support
in difficult questions. Furthermore, I want to thank my technical advisers Stefan Hoch and
Mehdi Farid. Mehdi was a very valuable discussion partner and gave my work the necessary
little push into the right direction.
Furthermore I’d like to thank all my colleagues, fellow doctorands and students at BMW
who made the time during my promotion work worthwhile. Particular thanks go to the students
who were directly involved in my topics, namely Felix Schwarz, Marion Mangold, Michael
Bunk, Christina Kreuzmair, Niklaus Voellmy, Arne Albrecht, and Tessa-Virginia Hannemann
for their help. Also thanks to Thomas Schaller, Michael Ardelt, Thomas Bleher and Andreas
Thönnessen for their support. I owe a great debt of gratitude to the team operating the BMW
driving simulation centre. Without Alex, Toni, Martin, Svenja, Stefan, Uli, and Sebastian it
would not have been possible to conduct my experiments. Thank you very much for your
helpfulness.
Personally, I want to express the deepest gratitude to my family for their endless support
during all my life and for always providing a place to come home. You helped so much with this
work, probably without even knowing. Cordial thanks to my sister Evi for proof-reading and
actually ’understanding’ my thesis.
The ultimate appreciation I give to my wife Martina. She has been the most important
person in my life during the last years. I thank you for your faith in me, for staying awake with
me in times of self doubt, taking me for a walk after long hours of work, and above all, for just
being there. Thank you for all your love.

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