sUAS Munition Teaming for Advanced Precision Strike

This task seeks to develop advanced teaming via machine learning between small unmanned air systems and Non Line-of-Sight (NLOS) munitions in GPS denied Environments. Current precision targeting capabilities are robust to state errors from ISR targeting platforms and weapons systems seeking to passively acquire a target. Visual Based Navigation (VBN) provides required state information in GPS denied environments and will be used to provide state information for precision targeting. Machine learning will be applied to extend targeting from multiple ISR platforms to create a larger and more detailed operating picture to a NLOS munition engaging a target.