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...

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...

The composition of multiple Gaussian Processes as a Deep Gaussian Process (DGP) enables a deep probabilistic approach to flexibly quantify uncertainty and carry out model selection in various learning scenarios. In this work, we introduce a novel formulation of DGPs based on random Fourier features that we train using stochastic variational inference. Our proposal yields an efficient way of tra...

In this paper, we propose a method that allows faster and more accurate detection of traffic lights by a vision sensor during driving, DGPS is used to obtain physical location of a traffic light, extract from the image information of the vision sensor only the traffic light area at this location and ascertain if the sign is in operation and determine its form. This method can solve the problem ...

S/A Selective Availability. Deliberate degradation of GPS signal by U.S. Department of Defense. The practice was discontinued in May 2000. GPS coordinates were expected to be accurate within 100 m with S/A turned on, and about 10 m with S/A off. DGPS improves accuracy in either case.

This paper focuses on evaluating the feasibility of using a low cost Micro Electro Mechanical System (MEMS) – based Inertial Measurement Unit (IMU) integrated with Differential Global Positioning System (DGPS), for land vehicle navigation. The main focus is on position accuracy analysis using a closed loop decentralized GPS/INS integration scheme. A Kalman filter is proposed for the IMU which m...

Current fast and reliable Internet services provide many advantages for worldwide GNSS users. Development of techniques using the Internet for streaming RTK/DGPS corrections allows mobile users to achieve high-accuracy positioning over both short and long baselines. Applications like GNSS Internet Radio are used for distributing raw GPS data and real-time corrections of GPS observations via RTC...