Methods and systems are provided for guiding or otherwise assisting energy management of an aircraft radar vectoring en route to a runway. A method involves determining a predicted lateral trajectory for the radar vectoring in accordance with interception criteria, wherein the lateral trajectory comprises a sequence of segments for satisfying the interception criteria from a current location of the aircraft and each navigational segment of the sequence is associated with an anticipated aircraft heading assignment. The method determines a reference vertical trajectory corresponding to the lateral trajectory, determines a target value for an energy state parameter of the aircraft at the current location on the lateral trajectory using the reference vertical trajectory, and provides indication of a recommended action to reduce a difference between a current value for the energy state parameter and the target value.

A method of operation of a vehicle system including capturing a current image from a current location towards a travel direction along a travel path; generating an image category for the current image based on a weather condition, the current location, or a combination thereof; determining a clear path towards the travel direction of the travel path based on the image category, the current image, and a previous image; and communicating the clear path for assisting in operation of a vehicle.

A method includes determining the position of the motor vehicle, identifying at least one object not relevant to road traffic as an object in the landscape in the surroundings of the motor vehicle, depending on the determined position, detecting at least the direction of view of a passenger as an occupant of the motor vehicle, and providing a display with information about the at least one object in the landscape viewed by the passenger, such that said information is provided in the direct field of view of the passenger, as defined by the direction of view of the same, in the same place as the object.

The measurement device acquires positional information of a measurement object stored in a storage unit, and acquires point group information of points indicating a surrounding feature acquired by an external sensor. Then, the measurement device calculates the positional information indicating a predetermined position of the measurement object existing in a predetermined range based on the point group information existing in the predetermined range, and outputs its reliability.

A vehicle navigation system includes a camera and a controller. The camera is configured to render an image of a host-vehicle in a field-of-view of the camera. The camera located remote from the host-vehicle. The controller is installed on the host-vehicle. The controller is configured to receive the image and determine a vehicle-coordinate of the host-vehicle in accordance with a position of the host-vehicle in the image. The camera may be configured to superimpose gridlines on the image, and the controller may be configured to determine the position in accordance with the gridlines.

An ADV may determine whether there is preexisting map data for an environment or geographical area/location where the ADV is located/travelling. If there is no preexisting data, the ADV may generate map data based on sensor data obtained from one or more sensors of the ADV. The ADV may determine a path for the ADV based on the generated map data. If there is preexisting map data, the ADV may determine a path for the ADV based on the preexisting map data.

In one embodiment, a method includes receiving sensor data of an environment of the vehicle generated by one or more sensors of the vehicle, the sensors comprising a camera, identifying, based on the sensor data, one or more objects in a field of view of the camera and one or more object types that correspond to the one or more objects, determining one or more target histograms that correspond to the object types, generating a processed image based on an image captured by the camera, wherein the processed image has a histogram based on the target histograms, and using the processed image to determine state information associated with the objects. The processed image may be generated by processing the image captured by the camera using a histogram matching algorithm to generate the histogram of the processed image based on the target histograms.

A mobile apparatus performing an augmented reality function and a navigation function includes an input device, a location receiver for obtaining a current location, an image obtaining device, a display device provided to display surrounding image obtained from the image obtaining device in response to execution of an augmented reality mode, and a controller provided to search for a route from the current location to a destination, destination information and map information obtained by the location receiver, identify a moving situation according to route information corresponding to the searched route, obtain location information of an inflection point at which the moving situation is changed according to information on the identified moving situation, and control the display device to display an object image of the inflection point on the surrounding image displayed on the display device based on the location information of the inflection point and the current location information.

A neural network method, comprising: modeling an environment; implementing a policy based on the modeled environment, to perform an action by an agent within the environment, having at least one estimated dynamic parameter; receiving an observation and a temporally-associated cost or reward based on operation of the agent in the environment controlled according to the policy; and updating the policy, dependent on the received observation and the temporally-associated cost or reward, to improve the policy to optimize an expected future cumulative cost or reward. The policy may represent a set of parameters defining an artificial neural network having a plurality of hierarchical layers and having at least one layer which receives inputs representing aspects of the received observation indirectly from other neurons, and produce outputs to other neurons which indirectly implement the policy, the plurality of hierarchical layers being trained according to respectfully distinct training criteria.

A vehicle takes and evaluates an image of the surroundings of the vehicle. If the result of the evaluation is that the image possibly contains a static object that could be suitable as a landmark, then the image and a position of the vehicle ascertained by the vehicle at the location at which the image is taken are transmitted to a data processing station. Image analysis of the received image allows the data processing station to establish whether the supposedly static object is suitable as a landmark. When the object has been verified as a landmark, the data processing station creates a data record describing the object, which data record is transmitted to the vehicle.