Method, apparatuses, and computer program products for automatically tracking a heading of an object. An example method comprising receiving, one or more internal measurement values which pertain to an object; determining an internal heading uncertainty value for each internal measurement value of the one or more internal measurement values; generating, using a probabilistic heading model, an estimated heading data object for the object based at least in part on the one or more internal measurement values; and providing the estimated heading data object to one or more associated user devices.

Position enhancement for vehicle positioning is provided. Vehicle-to-everything (V2X) messages are received from a roadside unit (RSU) to an onboard unit (OBU) of a vehicle via a transceiver of the vehicle, the V2X messages indicating a location of the RSU. Image sensors of the vehicle are utilized to capture sensor data of the RSU. A current position of the vehicle is updated to a corrected current position of the vehicle based the RSU as shown in the sensor data and the location of the RSU indicated in the V2X messages.

A machine includes a rotational sensor configured to sense rotation of an upper frame of the machine relative to a lower frame of the machine. The machine also includes a three-dimensional position sensor spaced from an axis of rotation of the upper frame relative to the lower frame. The machine can also include a number of additional sensors including sensors to detect track movement, imaging sensors, ranging sensors, IMUs, linear displacement sensors and/or the like. A computing system receives the various inputs from the sensors and fuses the data to determine state information for the machine.

A vehicle posture calculation device includes an electronic control unit for a vehicle. The electronic control unit acquires a position and orientation of the vehicle from information of a global positioning system receiver. The electronic control unit extracts, as at least one feature point, a position of a landmark in an image acquired with a camera. The electronic control unit acquires at least one calculated reference point and calculate an inclination angle of the vehicle. The at least one calculated reference point is acquired by calculating a position of the landmark to be captured in the image with the camera. The position of the landmark is calculated from a three-dimensional map and the position and the orientation of the vehicle that are acquired. The inclination angle is calculated from displacement between the at least one feature point and the at least one calculated reference point.

A method can include receiving sensor data, receiving satellite observations, determining a positioning solution (e.g., PVT solution, PVA solution, kinematic parameters, etc.) based on the sensor data and the satellite observations. A system can include a sensor, a GNSS receiver, and a processor configured to determine a positioning solution based on readings from the sensor and the GNSS receiver.

In one embodiment, an attribute application associates content with a road segment. In operation, the attribute application generates a spatial reference identifier based on coordinates associated with the attribute. The attribute application then generates an attribute based on the content and the spatial reference identifier. Finally, the attribute application transmits the road segment attribute to a navigation system that performs at least one navigation operation based on a road database and the attribute. Because the attribute is specified based on spatial referencing, the attribute application requires fewer resources to generate attributes than conventional approaches that generate different attributes for different versions and formats of road databases.

In one embodiment, an attribute application associates content with a road segment. In operation, the attribute application generates a spatial reference identifier based on coordinates associated with the attribute. The attribute application then generates an attribute based on the content and the spatial reference identifier. Finally, the attribute application transmits the road segment attribute to a navigation system that performs at least one navigation operation based on a road database and the attribute. Because the attribute is specified based on spatial referencing, the attribute application requires fewer resources to generate attributes than conventional approaches that generate different attributes for different versions and formats of road databases.

An antenna alignment apparatus may include magnetic field sensors as an alternative to or in addition to GNSS sensors. The magnetic field sensors may measure the earth's magnetic fields at corresponding locations, and a processor may use the measurements to calculate at least one of a roll, tilt, or azimuth of an antenna. A declination based on GNSS based alignment and magnetic field sensor alignment may be stored for an adjustment of magnetic field sensor based azimuth calculations. For an optical alignment, the antenna alignment apparatus may, additionally or alternately, include a reference object (e.g., a printed mark or a physical stud) located within a field of view of a camera. A location of the reference object may indicate the alignment of the antenna vis-à-vis the structures within the field of view.

An antenna alignment apparatus may include magnetic field sensors as an alternative to or in addition to GNSS sensors. The magnetic field sensors may measure the earth's magnetic fields at corresponding locations, and a processor may use the measurements to calculate at least one of a roll, tilt, or azimuth of an antenna. A declination based on GNSS based alignment and magnetic field sensor alignment may be stored for an adjustment of magnetic field sensor based azimuth calculations. For an optical alignment, the antenna alignment apparatus may, additionally or alternately, include a reference object (e.g., a printed mark or a physical stud) located within a field of view of a camera. A location of the reference object may indicate the alignment of the antenna vis-à-vis the structures within the field of view.

A motor control apparatus for securing insulation performance includes: a temperature sensor detecting a temperature of a motor; an altitude detection means providing information on an altitude at which the motor is positioned; and a controller including a motor output map having a plurality of groups of map data in which motor output limit rates depending on temperatures of the motor are pre-stored for each preset altitude section, selecting one group of map data corresponding to the information on the altitude provided by the altitude detection means, and determining a motor output limit rate by applying the temperature detected by the temperature sensor to the selected group of map data.