Abstract: A bridge military load classification (MLC) assessment system may increase soldier survivability and/or engineer reconnaissance support to military decision-making process (MDMP) while reducing the required operator level of expertise. A set of “at distance” 3D dimensioning solutions may include soldier-guided, vector-based measurements, photogrammetry, and/or computer vision (CV) and augmented reality (AR) methodologies-enabling off image plane measurements along all three axes across the image through the image principal point. The solutions may include (1) single image with view of bridge feature that introduces two- or three-point perspective, (2) camera focal length, (3) camera sensor width, (4) laser rangefinder (LRF) vector to the image principal point, and (5) two lines traced along edges of the bridge to identify one vanishing point. A rapid MLC could be calculated from a considerable distance (greater than 100 meters) given an unobstructed “below-deck” view of the bridge.

Abstract: Approaches are described for providing paired-timing connectivity event handling in wireless communications networks. For example, received radio signals can be decoded into bit data streams, and raw connectivity events can be derived from the bit data stream, each raw connectivity event indicating a connectivity measurement corresponding to connectivity at an associated event time between invoked user and provider terminals of the network. The raw connectivity events can be used to compute paired-timing connectivity events (PTCEs), which can effectively correlate connectivity events invoking some or all of the same terminals within a particular time window. The PTCEs can be used to compute network connectivity mapping values, and a stored multidimensional network map can be updated in accordance with the network connectivity mapping values. In some cases, events (e.g., handoffs, terminal locating, etc.) can be directed, at least in part, according to the stored multidimensional network map.

Abstract: Approaches are described for providing paired-timing connectivity event handling in wireless communications networks. For example, received radio signals can be decoded into bit data streams, and raw connectivity events can be derived from the bit data stream, each raw connectivity event indicating a connectivity measurement corresponding to connectivity at an associated event time between invoked user and provider terminals of the network. The raw connectivity events can be used to compute paired-timing connectivity events (PTCEs), which can effectively correlate connectivity events invoking some or all of the same terminals within a particular time window. The PTCEs can be used to compute network connectivity mapping values, and a stored multidimensional network map can be updated in accordance with the network connectivity mapping values. In some cases, events (e.g., handoffs, terminal locating, etc.) can be directed, at least in part, according to the stored multidimensional network map.