Fundamentals of Crash Sensing in Automotive Air Bag Systems


Book Description

Fundamentals of Crash Sensing in Automotive Air Bag Systems provides a sound introduction for engineers designing air bag systems, accident reconstructionists, litigation professionals, managers, government employees, and anyone involved with automotive safety. Drawing upon the wisdom of many pioneers in the field, Chan presents a clear explanation of automotive air bag sensors using easy-to-read charts, tables, and figures. The book also includes a glossary of terms, and exercises for further study.













Vehicle Safety


Book Description




Air Bag Development and Performance


Book Description

Follow the fascinating development of the automotive air bag - from its introduction to the latest advances - in this comprehensive collection of papers from both SAE and other professional sources, complete with informative diagrams, graphics, and charts. Air Bag Development and Performance: New Perspectives from Industry, Government and Academia begins with five chapters - one each from Editor Richard Kent and the collection's four Associate Editors - offering the authors' unique perspectives on the history, development, or performance of these important safety devices. Approximately 50 selected SAE, government, and other papers are also provided in their entirety, along with the titles and abstracts of about 90 other papers (listed as recommended reading) and the titles of some 600 related papers for further reference (included in a bibliography at the end of the book).













Algorithm Concept for Crash Detection in Passenger Cars


Book Description

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. André 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. André 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.