 Drive by monitoring has become increasingly popular for detecting structural damage in bridges and viaducts due to its low cost and minimal disruption to train operations. This paper reviews the various methods used for motor parameter extraction from drive-eye data, as well as more recent advances in the use of machine learning algorithms for damage detection. The paper concludes with a summary of the current state of the art, and provides insight into future directions for research. This article was authored by Edson F. Souza, Casio Brighanka, Andrea Maixito, and others.