Algorithm Concept for Crash Detection in Passenger Cars
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. Les mer
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På grunn av Brexit-tilpasninger og tiltak for å begrense covid-19 kan det dessverre oppstå forsinket levering
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.
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.