By Andreas von Eichhorn, Peter Zahn, Dieter Schramm (auth.), Jan Fischer-Wolfarth, Gereon Meyer (eds.)
The street motor vehicle of the longer term will embody concepts from 3 significant car know-how fields: driving force information structures, car networking and replacement propulsion. shrewdpermanent platforms comparable to adaptive ICT elements and MEMS units, novel community architectures, built-in sensor structures, clever interfaces and practical fabrics shape the root of those positive aspects and allow their winning and synergetic integration. They more and more seem to be the most important permitting applied sciences for secure and eco-friendly highway mobility. For greater than fifteen years the foreign discussion board on complicated Microsystems for car functions (AMAA) has been profitable in detecting novel traits and in discussing the technological implications from early on. the subject of the AMAA 2013 may be “Smart platforms for secure and eco-friendly Vehicles”. This ebook comprises peer-reviewed papers written by means of prime engineers and researchers which all deal with the continuing examine and novel advancements within the field.
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Additional info for Advanced Microsystems for Automotive Applications 2013: Smart Systems for Safe and Green Vehicles
A pre-crash system however has to react conservatively and must not trigger mitigation algorithm A Flexible Environment Perception Framework 27 Fig. 3 Local grid of a Mercedes C-class T-model. Orange cells denote the probability of occupation of each cell, black means unknown. The green line extracts the convex shape of occupied cells when a crash is avoidable. Objects with a more complex shape can easily be imagined, where a box model would perform even worse. A particle filter is used to track each object separately.
Because of the characteristics of radio waves this system has the capability to address the major accident scenarios of pedestrians and bicyclists with vehicles. No special hardware was used to demonstrate the feasibility of the proposed architecture. The system detects critical traffic situations between passenger cars and pedestrians and delivers a warning to the driver as well as the pedestrian to prevent a possible collision. The main challenges for a successful application of the system remain in the GPS positioning accuracy and the suitable communication technology.
To this end, a soft crash target is used with a position ground truth accurate to the centimeter and a contact sensor as temporal ground truth. Keywords Driver assistance systems sequence Time-to-collision Á Á Pre-crash Á Multi-sensor fusion Á Out-of- A. Westenberger (&) Á M. Muntzinger Á M. Fritzsche Group Research and Advanced Engineering, Daimler AG, Wilhelm-Runge-Str. com M. com M. com M. Gabb Á K. de K. de J. Fischer-Wolfarth and G. 1007/978-3-319-00476-1_2, Ó Springer International Publishing Switzerland 2013 13 14 A.