22-06-2012, 01:45 PM
Automotive Embedded Driver Assistance: A Real-Time Low-Power FPGA Stereo Engine using Semi-Global Matching
Automotive Embedded.pdf (Size: 727 KB / Downloads: 82)
Abstract:
Today, automotive driver assistant systems are a growing market. After an overview on current driver assistant systems we
will focus on vision based systems and their special requirements. As an example project we will describe the development of
a next generation stereo vision algorithm.
Example project: Many real-time stereo vision systems are available on low-power platforms. However, when looking at
high-performance global stereo methods as listed in the upper third of the Middleburry database, the low-power real-time
implementations for these methods were still missing. We proposed (ICVS 2009) a real-time implementation (25fps /
640x400 / up to a maximum of 128 disparities) of the semi-global matching algorithm with algorithmic extensions for
automotive applications on a reconfigurable hardware platform (FPGA) resulting in a low power consumption of under 3W.
Bio:
Felix Eberli is a Department Head at Supercomputing Systems AG in Zurich, Switzerland. After working for Phonak as an
ASIC engineer, Felix joined SCS in 2002 and leads the embedded automotive department. As a contract developer he worked
on projects for HP in the supercomputing area and has expertise in development of next generation driver assistant systems
with major automotive OEM and Tier1.