Institute For Angewandte Informatik

Eggenstein Leopoldshafen, United States

Institute For Angewandte Informatik

Eggenstein Leopoldshafen, United States
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Lippmann M.,Institute For Nachrichtentechnik | Schlemmer T.,Institute For Algebra | Spindler M.,Institute For Angewandte Informatik | Finger A.,Institute For Nachrichtentechnik | And 5 more authors.
2016 IEEE 6th International Conference on Communications and Electronics, IEEE ICCE 2016 | Year: 2016

This paper presents new ways for diagnosis and treatment of monotonal and multitonal tinnitus. Due to new music theoretical approaches, high-resolution audiograms can be measured and the individual tinnitus frequency of a patient can be determined accurately. New and pioneering processing techniques for phase shift treatment of predominant tinnitus frequencies are presented, and a hand-held device for home therapy were developed together with a new software for both the communication between physician and patient as well the communication between the hand-held device and clinic system. Furthermore some results are presented for modelling noise tinnitus by using pseudo random sequences. After the modelling of the tinnitus signal, noise cancellation techniques can be used for tinnitus compensation. © 2016 IEEE.


Werling M.,BMW AG | Gutjahr B.,BMW AG | Galler S.,BMW Peugeot Citroen Electrification | Groll L.,Institute For Angewandte Informatik
At-Automatisierungstechnik | Year: 2015

In many critical traffic situations sole breaking cannot avoid a collision. Especially when pedestrians suddenly enter the driving corridor, the stopping distance is often too long, so that the vehicle cannot come to a full stop fast enough. We therefore propose an optimal control theory based trajectory optimization algorithm as an important component of an anti-collision-avoidance system. By means of a suitable state and time transformation, planning the avoidance trajectory can be formulated as a linear-quadratic optimization problem. According to the theory of Riccati state control design for finite optimization horizons its solution can be computed very efficiently. This renders possible the implementation on automotive control units with cycle times in the range of milliseconds. The proposed algorithm is validated in a pedestrian setup by means of a test vehicle. © 2015 Walter de Gruyter Berlin/Boston.


Mathematical models can be improved with respect to problem conformity and statistics by incorporating a priori information. Therefore the knowledge needs to be formulated in a mathematical expression being suitable for optimization. The focus is on models which are described by functions. Such models are characteristic diagrams, density functions, step responses, curves and nonparametric representations. Especially the treatment of the following properties and constraints is considered: pointwise and intervalwise constraints, continuity and differentiability as well smoothness constraints, nonnegativity, convexity/concavity, unimodality/antimodality, symmetry, sector constraints, various kinds of monotonicity, pole singularity, and asymptotic constraints. © Oldenbourg Wissenschaftsverlag.


Werling M.,BMW AG | Heidingsfeld M.,University of Stuttgart | Reinisch P.,BMW AG | Groll L.,Institute For Angewandte Informatik
At-Automatisierungstechnik | Year: 2014

Backing up a trailer can be a challenge, not only to inexperienced recreational drivers. We therefore develop two feedback controllers as themain components of a driver assistance system which supports the driver with steering inputs. Based on the kinematics of the general one-trailer-system, we first derive an input/output-linearizing control lawthat asymptotically stabilizes a given curvature for the trailer. This enables the driver to directly steer the trailer, e.g. by means of a turning knob, such that the trailer will be automatically prevented from jackknifing. The control task is then modified and solved so that the assistance system can also take over the complete stabilization of given paths. In combination with a path planning algorithm this enables, for instance, automated parallel parking. The complete system is implemented on a rapid prototyping environment and evaluated in real-world scenarios.


Gutjahr B.,BMW AG | Pek C.,BMW AG | Groll L.,Institute For Angewandte Informatik | Werling M.,BMW AG
At-Automatisierungstechnik | Year: 2016

The economical limitations on the computing capacity in series-production vehicles in combination with increased requirements on safety and comfort narrow the application of established methods for trajectory optimization for automated driving. In order to meet these requirements and to reduce the computational effort at the same time, this work makes use of the well-known constrained linear-quadratic optimal control problems that can be solved very efficiently. Therefore, choosing an elaborate problem formulation based on the specific application of slack-variables, functional improvements with respect to collision avoidance as well as to a human driving behavior can be achieved. Experimental results of the implemented lateral and longitudinal vehicle guidance algorithms demonstrate the abilities for automated driving applications of this approach. © 2016 Walter de Gruyter Berlin/Boston.


Werling M.,BMW AG | Groll L.,Institute For Angewandte Informatik | Bretthauer G.,Institute For Angewandte Informatik
At-Automatisierungstechnik | Year: 2012

Handling of dynamic street scenarios requires the stabilization of time-critical maneuvers such as obstacle avoidance and merging into the traffic flow. As for autonomous driving, conventional path-based approaches quickly reach their limits here. We therefore propose an input/output linearizing trajectory stabilization concept. It explicitly accounts for the time t during maneuver execution enabling precise driving amongst moving obstacles. © Oldenbourg Wissenschaftsverlag.

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