Standard test procedures and metrics development for automated guided vehicle safety standards

The National Institute of Standards and Technology's Intelligent Systems Division has been researching automated guided vehicle (AGV) control based on advanced two-dimensional (2D) imaging sensors that detect dynamic, standard test pieces representing humans towards improving AGV safety standards. Experiments and results are presented in this paper showing the measurement of dynamic standard test pieces from an automated guided vehicle as compared to ground truth. The experimental results will be used to develop standard test methods and to recommend improved standard stopping distance exception language to AGV standards.