Steffen Görzig

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Most computer vision systems for vehicle guidance developed in the past were designed for the comparatively simple highway scenario. Autonomous driving in the much more complex scenario of urban traffic or driver assistance systems like Intelligent Stop&Go are new challenges not only from the algorithmic but also from the system architecture point of view.(More)
Every embedded real-time system is inevitably time- restricted. Therefore, worst-case execution times (WCETs) have to be known. The static timing analysis of embedded software promises the calculation of safe upper time bounds. We present the results of a case study which reveal the special challenges of this methodology in the automotive domain. For most(More)
•What is CPPvm? •Why should I use CPPvm? •Data transfer •Comparison •Performance •Statistics and applications •What's next? •It closes the gap between the design of object-oriented parallel programs in C++ and the underlying message passing possibilities of PVM •Unique message passing features •Easy-to-use •Scales from simple examples to complex parallel(More)
Data compaction is a new approach for lossless and lossy compression of read-only array data. The biggest advantage over existing approaches is the possibility to access compressed data without any decompression. This makes data compaction most suitable for systems that could currently not apply compression techniques due to real-time or memory constraints.(More)
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