We describe and demonstrate a novel approach for generating accurate and interpretable uncertainty estimation for outputs from a DNN in real time.

The post Machine Learning Aided GPS-Denied Navigation Using Uncertainty Estimation through Deep Neural Networks appeared first on SRI.

In this work, we present a new vision-based cross-view geo-localization solution matching camera images to a 2D satellite/ overhead reference image database. We present solutions for both coarse search for cold start and fine alignment for continuous refinement.

The post Vision based Navigation using Cross-View Geo-registration for Outdoor Augmented Reality and Navigation Applications appeared first on SRI.

We address the problem of geo-pose estimation by cross-view matching of query ground images to a geo-referenced aerial satellite image database. Recently, neural network-based methods have shown state-of-the-art performance in cross-view matching.

The post Cross-View Visual Geo-Localization for Outdoor Augmented Reality appeared first on SRI.

This paper summarizes methods for converting between them with an emphasis on providing full double-precision accuracy.

The post On auxiliary latitudes appeared first on SRI.

This paper describes a vision-based autonomous docking solution that moves a coalmine shuttle car to the continuous miner in GPS-denied underground environments.

The post Autonomous Docking Using Learning-Based Scene Segmentation in Underground Mine Environments appeared first on SRI.

This paper describes a new ranging-aided navigation approach that does not require the locations of ranging radios.

The post Ranging-Aided Ground Robot Navigation Using UWB Nodes at Unknown Locations appeared first on SRI.

The present paper seeks to extend the treatment to arbitrary ellipsoid (in this paper, the term “ellipsoid” should be understood to mean “ellipsoid of revolution”).

The post Geodesics on an Arbitrary Ellipsoid of Revolution appeared first on SRI.