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1 Recognizing complex traffic signs
THE NEXT GENERATION OF TRAFFIC
SIGN RECOGNITION
FRAUNHOFER TECHNOLOGY FOR REAL-TIME
­I N T E R P R E T A T I O N O F T R A F F I C S I G N S
Intelligent traffic sign recognition
Do you want to take your traffic sign
recognition system to the next level?
Fraunhofer Institute for
Give your vehicles a hand in
You too can now benefit from Fraunhofer‘s
understanding traffic signs!
innovative image-data recognition techno­
Intelligent Analysis and
Information Systems IAIS
logy. Our latest traffic sign recognition
Traffic sign recognition technology has
concept incorporates both image and
long been able to accurately recognize the
data recognition to create a fundamen-
Schloss Birlinghoven
most common traffic signs, such as speed
tally new approach: instead of simply
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limits or “No through road” signs and alert
comparing camera pictures with existing,
Germany
these to the driver. Where it gets tricky,
pre-programmed signs, our system actually
however, is when a traffic sign contains
“reads” the signs in order to “understand”
Dr. Stefan Eickeler
specific information such as when different
and continually process what they are
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speed limits are enforced at certain times
saying. The technology is able to take into
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of the day to control traffic noise or when
account not only the writing and symbols
complex diversion information is being
on the sign, but also its shape and the logic
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shown. In order to make progress in this
of its layout. As a result of the system‘s
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area fundamentally new approaches are
“knowledge”, the driver is only given infor-
required.
mation relevant to that specific situation.
FRAUNHOFER IAIS – YOUR PARTNER IN THE
EVOLUTION OF HIGHLY EFFICIENT, RELIABLE IMAGE
­RECOGNITION ALGORITHMS.
Furthermore, the system passes on the
analysis of text and image documents. This
information to the navigation system,
expertise is based on:
which then plans the route accordingly.
Another advantage our technology has
ry for Multimedia Pattern Recognition is
to recognizing only circular traffic signs – it
the result of 15 years’ experience working
can also recognize triangular, rectangular
on object recognition, text recognition
or octagonal signs, as well as every sign
on moving images and the unlocking of
impressively, its detection capabilities
and specialist pattern recognition engineers have used their problem solving
II Latest algorithms: Our Algorithm Libra-
over current systems is that it is not limited
shown in the Highway Code. Even more
II Experienced specialists: Our scientists
expertise on a wide range of industrial
productivity system projects.
The benefits at a glance
images with text and symbols.
II Cutting edge knowledge: Extensive
Be one step ahead of the competition!
are at least ten times more efficient than
access to the most up-to-date research
current systems meaning you will conserve
allows us to optimize existing problem
resources that can then be used for other
specific algorithms and to target and
– circular, triangular, rectangular and
facilities within the vehicle.
implement research into new algorithms
octagonal
specifically in line with our customers’
image processing
II Recognition of all traffic signs in the
Highway Code, including additional signs
needs.
The most technologically up-to-date
II Detection of all shapes of traffic signs
II Extensive software development
skills: Established skills developed with
C++ allow us to use resources more
II Understanding of complex traffic signs
not included in the Highway Code
II Significantly more efficient in its use of
Reap the benefits of the latest
quickly and more efficiently. We are
­Fraunhofer research and our team’s
able to transfer data onto car hardware
many years of expertise!
smoothly with no negative impact on its
Use our technology and expertise to
resources than existing systems
performance whilst understanding and
develop the next generation of traffic
During the development of our systems, we
acknowledging the trademark rights of
sign recognition technology for your
draw on our many years of expertise in the
the implemented algorithms from the
customers.
field of automatic image analysis and the
outset.
Megapixel/s
40
35
30
25
20
Barnes et al. 2008,
ICT Centra, MIT,
Multiprocessing MMX
Glavtchev et al. 2011,
BMW Technology
Office, GPU
Fraunhofer IAIS, 2014,
C++ Single threaded
(1 CPU)
15
10
5
0
2008
Radial symmetry detector and optimization
2011
2014