A target recognition algorithm applied to the unmanned ground combat platform in curve driving

摘要

This paper describes a target recognition algorithm applied to the unmanned ground combat platform in curve driving. A driving model for unmanned ground combat platform turning in the city intersection is also established. The reliability of certain driving model and the effect of radar measurement accuracy on algorithm are verified by simulation experiments. The traditional unmanned ground combat platform cannot accurately identify the surrounding targets in harsh environments, which can cause collisions and other incidents on the battlefield, and affect its efficiency. This algorithm aims at unmanned ground combat platforms in urban street fighting, and uses high precision radar and preloaded GPS road information to achieve target recognition and positioning successfully. This algorithm solves the problem of target missing and target misrecognition in the adaptive cruise control (ACC) strategy in curve driving, and has the advantages of accurate positioning.