A system and method for detecting tracking vehicles are provided. The method includes determining that a second vehicle is a tracking vehicle for a first vehicle by applying at least one tracking vehicle determination rule to data captured by the first vehicle with respect to the second vehicle, wherein each tracking vehicle determination rule defines a combination of parameters such that the second vehicle is determined to be the tracking vehicle when the data captured by the first vehicle includes the combination of parameters for at least one of the at least one tracking vehicle determination rule; generating a notification upon determination that the second vehicle is the tracking vehicle; and executing a resolution process based on determination that the second vehicle is the tracking vehicle.

The present invention provides a technique to accurately recognize a position of a vehicle even in a vicinity of a branch road or a junction road, neither of which is included in map data. The present invention provides a vehicle control device. When a vehicle is traveling on a road that is not described in map data, the vehicle control device is configured to determine whether or not the vehicle is traveling on a junction road or a branch road, based on a positional relationship between a position of the vehicle and a starting point of the junction road or a starting point of the branch road.

A data processing method comprising obtaining information identifying a position of an object in a scene at a time during a sporting event; obtaining an image of the scene captured at the time during the sporting event; projecting the position of the object in the scene onto an image plane of the image; and outputting information based on the projection.

Systems and methods to localize objects for mapping applications may comprise a vehicle having an imaging device, a location sensor, and an edge processor. Using imaging data from the imaging device, location data from the location sensor, and bounding box data associated with objects, three-dimensional models of environments may be reconstructed using structure from motion algorithms and/or direct triangulation algorithms. After aligning the reconstructions to real-world environments based on the location data, objects may be accurately localized relative to real-world environments.

The present invention discloses a method for real and virtual combined positioning, it not only sends positioning information to the server through the electronic device for tracking the positioning of the electronic device, but also further captures external scene image and scene sound through the electronic device, or the server generates corresponding scene image and scene sound based on the positioning information, further used to confirm the positioning of electronic device.

A method and system to determine the position of a moveable platform relative to an object is disclosed. The method can include storing one or more synthetic models each trained by one of the one or more synthetic model datasets corresponding to one or more objects in a database; capturing an image of the object by one or more sensors associated with the moveable platform; identifying the object by comparing the captured image of the object to the one or more synthetic model datasets; generating a first model output using a first synthetic model of the one or more synthetic models, the first model output including a first relative coordinate position and a first spatial orientation of the moveable platform; and generating a platform coordinate output and a platform spatial orientation output of the moveable platform at the first position based on the first model output.

According to one aspect, a system for robust localization may include a scan accumulator, a scan matcher, a transform maintainer, and a location fuser. The scan accumulator may receive a set of sensor data from a set of sensors mounted on a vehicle. The scan accumulator may generate a sensor scan point cloud output by transforming the set of sensor data from each sensor frame to a corresponding vehicle frame and calculate a fitness score, a transformation probability, and a mean elevation angle used to determine a scan confidence for the sensor data. The transform maintainer may receive GPS data, the scan confidence, and the matched sensor scan point cloud output and map tile point cloud data from the scan matcher, and determine whether the GPS data or the matched sensor scan point cloud output and map tile point cloud data is utilized for a map-to-odometer transformation output.

Method, systems, and computer-readable media containing instructions which, when executed by a computing device, cause it to receive data from an inertial measurement unit, including GPS data, velocity data, and bearing data, receive data from a digital magnetic compass, including bearing data, receive data from a Doppler sensor, including velocity data and distance data, determining whether GPS location data is in consensus with a previous derived multi-source reckoning system location, determining a consensus distance value from a weighted average of data from the inertial measurement unit and the Doppler sensor, determine a consensus heading value from a weighted average of data from the inertial measurement unit and the digital magnetic compass, determine a consensus geolocation value from a weighted average of data from the inertial measurement unit and the previous derived multi-source reckoning system location, and determine a derived multi-source reckoning system location.

An approach is provided for increased accuracy for a positioning receiver in a multipath signal environment. The approach, for example, involves receiving real-time imagery data collected using one or more sensors. The real-time imagery data, for instance, depicts a geographic environment in which the positioning receiver is operating. The approach also involves processing the real-time imagery data to dynamically generate a mask angle. The approach further involves blocking one or more signals from one or more navigation satellites received at the positioning receiver using the mask angle. The approach further involves determining positioning data using the positioning receiver based on the blocking of the one or more signals.

A method includes receiving a flight plan of an aircraft comprising one or more contingency routes, determining a plurality of possible trajectories of the aircraft based on the flight plan and the one or more contingency routes, identifying navigation data associated with one or more locations along each of the possible trajectories, and transmitting the navigation data to the aircraft.