Application of multiple artificial intelligence techniques for an aircraft carrier landing decision support tool

Abstract

This paper describes some aspects of a recently completed project that improves the landing signal officer's (LSO) decision making when guiding the landing of aircraft on aircraft carriers. The decision support aids were developed using multiple artificial intelligence (AI) techniques. The project developed pilot trending and flight prediction techniques as well as optimized the LSO's user interface via the application of decision-centered design methodologies from cognitive psychology. SHAI determined the significant aircraft approach parameters and developed a neuro-fuzzy system for plane trajectory prediction. SHAI also developed pilot trending techniques and software using case-based reasoning and fuzzy logic. In addition, in conjunction with many LSOs, we determined the best display options and most appropriate display logic for the information produced by the pilot trending module, and designed and implemented the resulting LSO interface. This paper concentrates on two particular areas of AI application, that is, the data fusion portion of the pilot trending system, and plane trajectory prediction.