Abstract:
A method, apparatus, and system for providing orientation and location estimates for a query ground image include determining spatial-aware features of a ground image and applying a model to the determined spatial-aware features to determine orientation and location estimates of the ground image. The model can be trained by collecting a set of ground images, determining spatial-aware features for the ground images, collecting a set of geo-referenced images, determining spatial-aware features for the geo-referenced images, determining a similarity of the spatial-aware features of the ground images and the geo-referenced images, pairing ground images and geo-referenced images based on the determined similarity, determining a loss function that jointly evaluates orientation and location information, creating a training set including the paired ground images and geo-referenced images and the loss function, and training the neural network to determine orientation and location estimates of ground images without the use of 3D data.
Abstract:
Methods and apparatuses for tracking objects comprise one or more optical sensors for capturing one or more images of a scene, wherein the one or more optical sensors capture a wide field of view and corresponding narrow field of view for the one or more mages of a scene, a localization module, coupled to the one or more optical sensors for determining the location of the apparatus, and determining the location of one more objects in the one or more images based on the location of the apparatus and an augmented reality module, coupled to the localization module, for enhancing a view of the scene on a display based on the determined location of the one or more objects.