Reconfigurable HW/SW Architecture of a Real-Time Driver Assistance System

Angermeier, Josef; Batzer, Ulrich; Majer, Mateusz; Teich, Jürgen; Claus, Christopher; Stechele, Walter

doi:10.1007/978-3-540-78610-8_16

Cited by 2 publications

(1 citation statement)

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“…In this paper two platforms and architectures for real-time video processing on reconſ-gurable hardware are presented. In order to compare these two platforms, an algorithm from the AutoVision project [4] to detect cars in dark environments, which is described in detail in [5], was partitioned into a hardware and software part and implemented on the Erlangen Slot Machine (ESM) [6] and on an XUP board from Xilinx.…”

Section: Introduction and Related Workmentioning

confidence: 99%

A comparison of embedded reconfigurable video-processing architectures

Claus

Stechele

Kovatsch

et al. 2008

2008 International Conference on Field Programmable Logic and Applications

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Using Field Programmable Gate Arrays (FPGAs) as accelerators for image or video processing operations and algorithms has gained increasing attention over the last few years. One reason for that is FPGAs are able to exploit both temporal and spatial parallelism. In this paper two platforms for FPGA-based real-time image and video processing are presented and compared against each other. With both of these platforms it is possible to update the physical resources during run-time by exploiting the dynamic partial reconſ-guration capabilities of Xilinx Virtex FPGAs. The analysis of both platforms with respect to their beneſts and drawbacks has led to the concept of an optimal FPGA-based dynamically and partially reconſgurable platform for real-time video and image processing.

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Section: Introduction and Related Workmentioning

confidence: 99%