New Practice for Selecting Samples of Fleets of Homogeneous A-UGVs
1. Scope
1.1 The purpose of this standard practice defines the methodology for sampling fleets of homogeneous automatic, automated, or autonomous uncrewed ground vehicles (A-UGVs). The defined seven step process is optimal for detecting any differences in otherwise extraneous independent variables that may have affected the performance of the A-UGVs. By default this framework provides sufficient data to use a binary test or a quantitative data test, such as a t-test or ANOVA (Analysis of Variants).
1.2 This practice assumes that the fleet is much larger than the sampled sub-group of A-UGVs. If this assumption is not met, then all A-UGVs should be sampled. This standard practice is intended for fleets of homogenous A-UGVs and is intended to be used in conjunction with other ASTM standards like Docking (F3499-21), Communication Impairment (F3243), or Navigation (F3244) to allow for them to be updated to run with fleets of A-UGVs.
Keywords
fleet, A-UGV
Rationale
The purpose of this standard practice defines the methodology for sampling fleets of homogeneous automatic, automated, or autonomous uncrewed ground vehicles (A-UGVs) which does not cuurently exist.