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)
• Combine a heterogeneous collection of computers • Spawn and kill processes dynamically • Detect failed processes and hosts • Send/receive C++ objects • Use distributed C++ objects • Write your own message C++ classes • Use standard template library (STL) classes • Use semaphores • Use mutual exclusion • Use CPPvm together with existing PVM software What(More)
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