Abstract: A terrain referenced navigation system for a vehicle is disclosed and includes an inertial measurement unit and one or more generic terrain sensors configured to collect terrain-dependent data. The terrain referenced navigation system includes one or more processors in electronic communication with the generic terrain sensors and the inertial measurement unit, and a memory coupled to the processors. The memory stores data into one or more databases and program code that, when executed by the processors, causes the terrain referenced navigation system to determine a predicted terrain value based on a terrain value, where the terrain value is retrieved from one or more sensor specific terrain databases. The pre-Kalman filter processing values are sent to a Kalman filter. The Kalman filter determines navigation corrections and sensor corrections based on the pre-Kalman filter processing values.

Abstract: A terrain referenced navigation system for a vehicle is disclosed and includes an inertial measurement unit and one or more generic terrain sensors configured to collect terrain-dependent data. The terrain referenced navigation system includes one or more processors in electronic communication with the generic terrain sensors and the inertial measurement unit, and a memory coupled to the processors. The memory stores data into one or more databases and program code that, when executed by the processors, causes the terrain referenced navigation system to determine a predicted terrain value based on a terrain value, where the terrain value is retrieved from one or more sensor specific terrain databases. The pre-Kalman filter processing values are sent to a Kalman filter. The Kalman filter determines navigation corrections and sensor corrections based on the pre-Kalman filter processing values.

Abstract: An estimator that is part of a communication network including a plurality of nodes is disclosed. A centralized portion of the estimator includes one or more processors in wireless communication with the plurality of nodes that are part of the communication network, where the communication network includes one or more pairs of collaborating nodes, and a memory coupled to the one or more processors, the memory storing data into a database and program code that, when executed by the one or more processors, causes the centralized portion of the estimator to determine a local update and a collaborative update. The collaborative update is applied to the respective estimated local state vector for both nodes of the pair of collaborating nodes.

Abstract: An estimator that is part of a communication network including a plurality of nodes is disclosed. A centralized portion of the estimator includes one or more processors in wireless communication with the plurality of nodes that are part of the communication network, where the communication network includes one or more pairs of collaborating nodes, and a memory coupled to the one or more processors, the memory storing data into a database and program code that, when executed by the one or more processors, causes the centralized portion of the estimator to determine a local update and a collaborative update. The collaborative update is applied to the respective estimated local state vector for both nodes of the pair of collaborating nodes.

Abstract: A communication network having a plurality of nodes is disclosed. An individual node of the communication network includes a measurement device configured to collect local measurements, an antenna configured to wirelessly connect the individual node to a collaborating node that is part of the communication network, one or more processors in electronic communication with the measurement device and the antenna, a memory coupled to the one or more processors, the memory storing data into a database and program code that, when executed by the one or more processors, causes the individual node to estimate, based on the local measurements, an estimated local state vector for the individual node. The individual node determines a collaborative update based on an estimated collaborative measurement and a collaborative residual, where the collaborative update is applied to the estimated local state vector for the individual node.

Abstract: Provided is an etching composition for electively removing silicon dioxide at a high etch rate, more particularly, a composition for wet etching of silicon dioxide, including 1 to 40 wt % of hydrogen fluoride (HF); 5 to 40 wt % of ammonium hydrogen fluoride (NH4HF2); and water, and further including a surfactant to improve selectivity of the silicon dioxide and a silicon nitride film. Since the composition for wet etching of silicon dioxide has the high etch selectivity of the silicon dioxide to the silicon nitride film, it is useful for selectively removing silicon dioxide.

Abstract: Provided is an etching composition for electively removing silicon dioxide at a high etch rate, more particularly, a composition for wet etching of silicon dioxide, including 1 to 40 wt % of hydrogen fluoride (HF); 5 to 40 wt % of ammonium hydrogen fluoride (NH4HF2); and water, and further including a surfactant to improve selectivity of the silicon dioxide and a silicon nitride film. Since the composition for wet etching of silicon dioxide has the high etch selectivity of the silicon dioxide to the silicon nitride film, it is useful for selectively removing silicon dioxide.