Gernot Spiegelberg

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This paper introduces a new concept for advanced driver assistance by means of a redundant architecture including all system components spanning from environment perception to vehicle controllers. The first part of this paper is an overview of the project framework and the research platforms. After that the elements of the architecture themselves will be(More)
In the last couple of years software functionality of modern cars increased dramatically. This growing functionality leads directly to a higher complexity of development and configuration. Current studies show that the amount of software will continue to grow. Additionally, advanced driver assistance systems (ADAS) and autonomous functionality, such as(More)
ISO 26262 addresses development of safe in-vehicle functions by specifying methods potentially used in the design and development lifecycle. It does not indicate what is sufficient and leaves room for interpretation. However, the architects of electric/electronic systems need design boundaries to make decisions during architecture evolution without adding a(More)
Brain-computer interfaces (BCI) are a valuable proposition for the long-term vision of the automotive human-machine interfaces and for increasing the personal mobility of users with physical disabilities. In this work, we do not attempt to improve the vehicle control through a BCI. Instead, we focus on assessing the driver’s fatigue using a non-invasive BCI(More)
The effort for the integration of new functionalities in today's vehicles is increasing as the interconnection and verification of the growing amount of heterogeneous and distributed electric control units (ECU's) becomes more difficult. The demand for a new architectural approach that can cope with the increasing complexity and offers possibilities for a(More)
We implemented an artifact prediction method for a saline-pad wireless electroencephalograph equipped with twoaxis gyroscope used as a basic brain-computer interface (BCI). The BCI unit serves two purposes in the scope of the project Innotruck. Firstly, it enables remote control of vehicles and other systems over a limited set of trained mental activity.(More)
In this work, we focus on the improvement of human-machine interaction inside the automobile by reducing the complexity of involved context management. A contribution in the form of a context processing engine named probabilistic application layer (PAL) is provided, which addresses following issues: Guarantees for time bounds in performing safety-critical(More)