The objective of this paper is to introduce and describe the concept of using airborne gravimetry by strapdown INS/DGPS to reference mapping products derived from Interferometric Synthetic Aperture Radar (IFSAR) to the geoid. Calgary-based Intermap Technologies Ltd. is a digital mapping company that focuses on providing digital elevation models and ortho-rectified images using an interferometri...

The composition of multiple Gaussian Processes as a Deep Gaussian Process (DGP) enables a deep probabilistic nonparametric approach to flexibly tackle complex machine learning problems with sound quantification of uncertainty. Existing inference approaches for DGP models have limited scalability and are notoriously cumbersome to construct. In this work we introduce a novel formulation of DGPs b...

Vehicular Ad Hoc Networks (VANET) is a very promising research venue that can offers many useful and critical applications including the safety applications. Most of these applications require that each vehicle knows precisely its current position in real time. GPS is the most common positioning technique for VANET. However, it is not accurate. Moreover, the GPS signals cannot be received in th...

The interest for land navigation has increased for the recent years. With the advent of the Global Position System (GPS) we have now the ability to determine the absolute position anywhere on the globe. The problem is that the GPS systems work well only in open environments with no overhead obstructions and they are subject to large unavoidable errors when the reception from some of the satelli...

Autonomous navigation of micro-UAVs is typically based on the integration of low cost Global Navigation Satellite System (GNSS) receivers and Micro-Electro-Mechanical Systems (MEMS)-based inertial and magnetic sensors to stabilize and control the flight. The resulting navigation performance in terms of position and attitude accuracy may not suffice for other mission needs, such as the ones rele...

Almost all robot navigation systems work indoors. Outdoor robot navigation systems offer the potential for new application areas. The biggest single obstacle to building effective robot navigation systems is the lack of accurate wide-area sensors for trackers that report the locations and orientations of objects in an environment. Active (sensoremitter) tracking technologies require powered-dev...

Deep Gaussian processes (DGPs) provide a rich class of models that can better represent functions with varying regimes or sharp changes, compared to conventional GPs. In this work, we propose novel inference method for DGPs computer model emulation. By stochastically imputing the latent layers, our approach transforms DGP into linked GP: emulator developed systems models. This transformation pe...

The Differential Global Positioning System (DGPS) is a marine navigation system operating at frequencies of 283.5–325 kHz, which now the primary method for locating vessels in coastal shipping, as well hydrography and mapping systems worldwide. Its positioning accuracy determined by following: pseudorange error to (GPS) satellites, age corrections, value Horizontal Dilution Precision (HDOP), wh...

Deep Gaussian processes (DGPs) are increasingly popular as predictive models in machine learning for their nonstationary flexibility and ability to cope with abrupt regime changes training data. Here, we explore DGPs surrogates computer simulation experiments whose response surfaces exhibit similar characteristics. In particular, transport a DGP’s automatic warping of the input space full uncer...