In
today’s urban traffic, pedestrians are an endangered species – they
still disproportionately often fall victim to collisions with motor
vehicles. To provide a remedy, researchers of the Frankfurt University
of Applied Sciences (FRA-UAS) have developed a pedestrian detection
sensor that can tell a human being from inanimated matter.
The
person detector developed by professors Peter Nauth and Andreas Pech
from FRA-UAS utilizes highly efficient and sensitive ultrasonic sensors,
capable of discriminating a human being from an object in a situation
where a collision is likely. The researchers utilised the same
cost-effective ultrasound sensors that are already used for series
vehicles in connection with parking assistance. The actual innovation
lies in the pattern recognition algorithm applied to the signals of
these sensors. In less than half a second, the algorithm generates a
situational analysis that can be used to activate the respective
protection systems.
Case the sensor detects that
an impact with another vehicle is imminent, it activates systems like
airbags and belt pretensioner. If the system however determines that the
other party in such a collision situation is not a vehicle but instead a
pedestrian, it initiates measures aiming at reducing the impact.
Towards this end, several approaches are imaginable. “It would be
feasible to reduce the rigidity of the vehicle’s body”, says Pech who
focuses on data analysis and signal processing. “An alternative would be
that the bonnet is heightened to mitigate the impact. Likewise, an
exterior airbag could be provided which would deploy in such a case”.
In
comparison with other pedestrian detection systems, the system at hand
is relatively cost-effective, which would make it possible to equip even
lower priced vehicles with such a system. The area of application for
the system is not restricted to automobiles, however. It also could be
used in fire fighting: In cases where smoke detectors trigger a fire
alarm, the system from the Frankfurt researchers could be used to
determine if human beings are still present in a burning house or flat.
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