Jahresbericht 2017

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Automotive
Project QoStreet
Map and navigation services represent an indispensable
foundation for many innovative applications in the vehicle.
In addition to static road information such as traffic signs
and traffic lights, dynamic events e.g. traffic jams and
construction sites are assigned to the map data. Numerous
background data can be processed by the vehicle and
therefore support the optimization of the energy consump-
tion or improve the active safety. The aim of the project
‘QoStreet’ is to develop and validate a method for the clas-
sification of the road surface based on smartphone sensory
data. The surface type should be determined as well as
the quality of the road. This is to be done with the help
of smartphone sensor data, which were recorded in the
course of numerous fleet tests at the Chair of Automotive
Engineering. In particular, weather data in the context of the
BMVI provide additional information, which are necessary
in the classification process. The results can be used to
increase driving safety and driving comfort.
mobility/qostreet-classification-of-road-surface-
quality-with-big-data
Dynamic driving simulator
n The automotive field is one of the most important ones at the Department of Mechanical
Engineering. Almost every institute is involved via a most diverse range of projects.
In addition to vehicle and usage concepts, particular
emphasis is also placed on the powertrain, driver assis-
tance systems as well as the use of new materials and the
production process. One focal area is how to ensure the
viability of individual transport through efficient vehicles in
the face of increasing resource shortages.
The Munich metropolitan area probably has the highest
density of prestigious car manufacturers in the world, a
very important factor for this field. Key scientific chal-
lenges lie in understanding combustion processes and the
properties of materials.
Project IMAGinE
Within the Project IMAGinE – Intelligent maneuver auto-
mation – cooperative hazard avoidance in real time, the
TUM researches together with automotive manufacturers,
suppliers and scientific research institutes cooperative
advanced driver assistance systems (ADAS). The research
initiative is supported by the German Federal Ministry
of Economics and Energy. The objective of the project
IMAGinE is the development of new ADAS which enable
vehicles and infrastructure to cooperate with each other.
Therefore, the exchange of information as well as the
coordination and decision making between intelligent
systems and drivers will be realized. The proof of concept
will be demonstrated by six representative functions.
Coordinator
Prof. Dr.-Ing. Markus
Lienkamp, Automotive
Technology
Phone +49.89.289.15345
Members
Prof. Dr. Klaus Bengler,
Ergonomics
Prof. Dr.-Ing. Boris Lohmann,
Automatic Control
Prof. Dr.-Ing. Steffen Marburg,
Vibroacoustics of Vehicles
and Machines
Prof. Dr.-Ing. Gunther
Reinhart, Industrial Manage­
ment and Assembly
Technologies
Prof. Dr.-Ing. Karsten Stahl,
Machine Elements
Prof. Dr.-Ing. Wolfram Volk,
Metal Forming and Casting
Prof. Dr.-Ing.
Georg Wachtmeister,
Internal Combustion Engines
Prof. Dr.-Ing. Michael F. Zaeh,
Machine Tools and
Manufacturing Technology
Contact