Abstract: Systems and methods for predicting user interaction with vehicles. A computing device receives an image and a video segment of a road scene, the first at least one of an image and a video segment being taken from a perspective of a participant in the road scene and then generates stimulus data based on the image and the video segment. Stimulus data is transmitted to a user interface and response data is received, which includes at least one of an action and a likelihood of the action corresponding to another participant in the road scene. The computing device aggregates a subset of the plurality of response data to form statistical data and a model is created based on the statistical data. The model is applied to another image or video segment and a prediction of user behavior in the another image or video segment is generated.

Abstract: A method is provided wherein hexagonal boron nitride particulates are converted directly into cubic boron nitride particles or agglomerated masses which can be easily milled to the desired size due to the presence of an inert powder during the conversion to reduce interparticle bonding.

Abstract: The present invention provides cubic boron nitride abrasives with individual grains of a larger grain size and higher aspect ratios when compared to conventional polycrystalline CBN. These CBN abrasives are obtained from large particle ideal structure hexagonal boron nitride particles of a size 10-1000 .mu.m. These CBN abrasives can be used as particulates or as a compact mass and give improved wear performance over abrasive tools made with conventional CBN abrasives at reduced specific grinding energies.