Abstract: A system having components coupled to an aircraft that measure the navigational state and state uncertainty of an aircraft. To do so, the aircraft captures an image of its surrounding environment including an object of interest and applies one or more machine vision models to the image. One or more of the models determine if the image is acceptable, in that it determines if an object of interest is represented in the image. One or more of the models determine a calibrated uncertainty based on information extracted previously labelled images and current measurements of navigational state and uncertainty. One or more of the models determine a protection level for the aircraft and determines an operational system of the aircraft is available to perform a navigational action based on the protection level (e.g., by comparing protection level to an alert level).

Abstract: Embodiments of the present disclosure are directed to lane marker prediction for occluded lane markers. Image data from one or more sensors of a vehicle is received by a processor of a control system. The image data includes a roadway from a route being navigated by the vehicle and lane marker information. If there are not enough lane markers captured in the lane marker information to produce a threshold look-ahead horizon of the roadway ahead of the vehicle, a longest lane marker ahead of the vehicle from the lane marker information is selected. A curvature tangent to the longest lane marker is computed and predictive lane markers are generated based on the curvature tangent. The vehicle is steered based on the predictive lane markers ahead of the vehicle generated from the curvature tangent.

Abstract: Embodiments of the present disclosure are directed to lane marker prediction for occluded lane markers. Image data from one or more sensors of a vehicle is received by a processor of a control system. The image data includes a roadway from a route being navigated by the vehicle and lane marker information. If there are not enough lane markers captured in the lane marker information to produce a threshold look-ahead horizon of the roadway ahead of the vehicle, a longest lane marker ahead of the vehicle from the lane marker information is selected. A curvature tangent to the longest lane marker is computed and predictive lane markers are generated based on the curvature tangent. The vehicle is steered based on the predictive lane markers ahead of the vehicle generated from the curvature tangent.