Abstract: Various examples are provided related to evaluation and testing of bridge beams. In one example, a method includes obtaining point cloud data for opposite sides of a bridge beam including registration objects affixed at defined locations; determining contour maps based upon the point cloud data; identifying thicknesses of the bridge beam from the contour maps; and determining failure load of the bridge beam based at least in part upon the thicknesses and the contour maps. The point cloud data can be aligned by course registration based upon the registration objects and subsequent fine registration based upon surface features of the scanned regions. In another example, a system can determine contour maps of a bridge beam based upon point cloud data for opposite sides of the bridge beam; identify thicknesses from the contour maps; and determine failure load of the bridge beam using the thicknesses and the contour maps.

Abstract: Systems and methods for identifying traffic control devices from images, and systems and methods for assessing the retro reflectivity of traffic control devices. The identification of traffic control devices can be accomplished using a lighting-dependent statistical color model. The identification of traffic control devices can be accomplished using an active contour or active polygon method.

Abstract: Systems and methods for identifying traffic control devices from images, and systems and methods for assessing the retro reflectivity of traffic control devices. The identification of traffic control devices can be accomplished using a lighting-dependent statistical color model. The identification of traffic control devices can be accomplished using an active contour or active polygon method.