Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.

Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.

Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.

Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.

Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.

Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.

Abstract: Examples disclosed relate to displaying virtual objects. One example provides, on a display device comprising a camera and a display, a method comprising acquiring, via the camera, image data imaging an environment, receiving a user input requesting display of a three-dimensional virtual object, comparing dimensional information for the three-dimensional virtual object to dimensional information for a field of view of the display device, modifying the three-dimensional virtual object based upon comparing the dimensional information for the three-dimensional virtual object to the dimensional information for the field of view to obtain a modified three-dimensional virtual object, and displaying the modified three-dimensional virtual object via the display.

Abstract: Examples disclosed relate to displaying virtual objects. One example provides, on a display device comprising a camera and a display, a method comprising acquiring, via the camera, image data imaging an environment, receiving a user input requesting display of a three-dimensional virtual object, comparing dimensional information for the three-dimensional virtual object to dimensional information for a field of view of the display device, modifying the three-dimensional virtual object based upon comparing the dimensional information for the three-dimensional virtual object to the dimensional information for the field of view to obtain a modified three-dimensional virtual object, and displaying the modified three-dimensional virtual object via the display.

Abstract: A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.

Abstract: Examples disclosed relate to displaying virtual objects. One example provides, on a display device comprising a camera and a display, a method comprising acquiring, via the camera, image data imaging an environment, receiving a user input requesting display of a three-dimensional virtual object, comparing dimensional information for the three-dimensional virtual object to dimensional information for a field of view of the display device, modifying the three-dimensional virtual object based upon comparing the dimensional information for the three-dimensional virtual object to the dimensional information for the field of view to obtain a modified three-dimensional virtual object, and displaying the modified three-dimensional virtual object via the display.