Springer - Algorithm Concept for Crash Detection in Cars

Modern passenger vehicles rely on state-of-the-art airbag algorithms to decide when to fire restraint systems. These systems typically work by evaluating the deceleration of the entire vehicle during the single events of an accident. However, as consumer test organizations and global legislators increase their requirements, the need for more precise data grows. Current vehicle algorithms can only determine the nature and direction of a crash to a limited extent. In this book, Andre Leschke presents a completely different algorithm concept designed to solve these specific limitations. By moving beyond simple vehicle deceleration, this work offers a new approach to understanding crash dynamics. This text is a valuable resource for those studying advanced programming algorithms and automotive safety systems, providing a technical look at how next-generation detection methods can improve vehicle safety performance.