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Algorithm Concept for Crash Detection in Passenger Cars (Hardcover, 1st ed. 2020)
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Algorithm Concept for Crash Detection in Passenger Cars (Hardcover, 1st ed. 2020)
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State-of-the-art airbag algorithms make a decision to fire
restraint systems in a crash by evaluating the deceleration of the
entire vehicle during the single events of the accident. In order
to meet the ever increasing requirements of consumer test
organizations and global legislators, a detailed knowledge of the
nature and direction of the crash would be of great benefit. The
algorithms used in current vehicles can only do this to a limited
extent. Andre Leschke presents a completely different algorithm
concept to solve these problems. In addition to vehicle
deceleration, the chronological sequence of an accident and the
associated local and temporal destruction of the vehicle are
possible indicators for an accident's severity. About the Author:
Dr. Andre Leschke has earned his doctoral degree from Tor-Vergata
University of Rome, Italy. Currently, he is working as head of a
team of vehicle safety developers in the German automotive
industry.
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