Enhanced Behavioral Realism for Live Fire Targets

摘要

Live fire training is an essential component of infantry and Special Forces training. Recent developments in target technology have created a need for more sophisticated human behavior models that can drive the targets to behave in a realistic and challenging manner. Such behavior models enable the targets to exhibit convincing tactical behavior, as well as coordinating as a team to confront the trainee with a more formidable foe. This paper describes the current status of an ongoing project to augment disparate target types with sophisticated behavioral capabilities. The underlying CoJACK behavior engine enables the deployment of targets that behave realistically, react in a timely fashion, and exhibit sufficient variation to ensure that the trainees cannot predict how opponents will behave. The behavior models are developed using the VBS2 environment so that they can be validated in advance of target deployment on the targets. The technological approach is presented along with two illustrative scenarios. We conclude with a discussion of the lessons learnt and the way forward, including the development of autonomous target vehicles.