Ponciano Jorge Escamilla-Ambrosio

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In this work a novel Multi-Sensor Data Fusion (MSDF) architecture with fault tolerant characteristics is proposed. This MSDF architecture is based on Kalman filtering and fuzzy logic techniques. First, the measurement coming from each sensor is fed to a fuzzy–adapted Kalman filter (FKF). The adaptation is in the sense of adjusting the measurement noise(More)
—In this work the recently developed fuzzy logic-based adaptive Kalman filter (FL-AKF) is used to build adaptive centralized, decentralized, and federated Kalman filters for Adaptive MultiSensor Data Fusion (AMSDF). The adaptation carried out is in the sense of adaptively adjusting the measurement noise covariance matrix of each local FL-AKF to fit the(More)
We describe a system aimed at the in-situ 3D annotation of physical objects and environments by the use of augmented reality. The system integrates absolute positioning technology, in the form of GPS and UWB positioning, with real-time computer vision to create a virtual 'incident map'. The virtual map is constructed collaboratively by multiple operatives(More)