The present invention is intended to make it possible to automatically drive a test object without performing pre-learning for a running performance map for each vehicle. There is provided an automatic test object driving device that automatically drives a test vehicle based on a command vehicle speed, and that includes a driving actuator for performing driving operation of the test vehicle, and a driving control unit for controlling the driving actuator. The driving control unit includes a first accelerator map and a second accelerator map each of which indicates a relationship among a vehicle-speed-related value, an acceleration-related value, and an accelerator-depression-amount-related value. The driving control unit uses the first accelerator map to determine an accelerator depression amount corresponding to the command vehicle speed, and uses the second accelerator map to correct the accelerator depression amount by feeding back a vehicle speed and an acceleration of the test vehicle.

The present disclosure provides a method for integratedly updating map data, a device, and a storage medium, relates to the field of artificial intelligence technology such as vehicle-road coordination and intelligent transportation. An embodiment of the method includes: acquiring map update data; generating an updated confidence of map features based on the map update data; and updating uniformly a first-precision map and a second-precision map based on the updated confidence of the map features, where precision of the first-precision map is higher than precision of the second-precision map.

A database construction method includes determining a target image set that meets a preset image coincidence degree requirement, obtaining a scenario key point information set based on the target image set and natural condition information corresponding to each image, determining, in the scenario key point information set, first scenario key point information corresponding to a scenario key point whose life value on a single mobile terminal is greater than a first preset life value threshold, determining, in the first scenario key point information, second scenario key point information corresponding to a scenario key point whose life value on a plurality of mobile terminals is greater than a second preset life value threshold, and when the second scenario key point information does not match preset scenario key point information in a database, constructing the database based on the second scenario key point information.

The present invention has an object to provide a technique capable of reducing the size of update data. A map information processing apparatus includes a data extractor that extracts a difference between a shape of a past road link and a shape of a current road link as update data for updating predetermined map information. The data extractor does not extract the difference as the update data in a case where one road link of the past road link and the current road link is included in a buffer region obtained by extending the shape of the other road link by a predetermined distance.

An object of a map providing system of the present invention is to specify a range of map data that may be newly prepared, and to increase an opportunity to use a latest map. A map providing system compares route information or road information on a first map stored in a first map storage portion (71) with road information on a second map stored in a second map storage portion (21), selects an update point of the second map on the basis of road information not included in the second map, and requests a map OTA server 5 that manages latest update data of the second map to provide the update data of the update point of the second map.

A first map comprising local features and 3D locations of the local features is generated, the local features comprising visible features in a current image and a corresponding set of covisible features. A second map comprising prior features and 3D locations of the prior features may be determined, where each prior feature: was first imaged at a time prior to the first imaging of any of the local features, and lies within a threshold distance of at least one local feature. A first subset comprising previously imaged local features in the first map and a corresponding second subset of the prior features in the second map is determined by comparing the first and second maps, where each local feature in the first subset corresponds to a distinct prior feature in the second subset. A transformation mapping a subset of local features to a subset of prior features is determined.

Methods and apparatuses associated with updating a map using images are described. An apparatus can include a processing resource and a memory resource having instructions executable to a processing resource to monitor a map including a plurality of locations, receive, at the processing resource, the memory resource, or both, and from a first source, image data associated with a first location, identify the image data as being associated with a missing portion, an outdated portion, or both, of the map, and update the missing portion, the outdated portion, or both, of the map with the image data.

In some implementations, a computing device can manage conflicts using conflict islands. For example, when a computing device receives bulk map data updates, the computing device can determine conflicts between point updates (e.g., small, ad hoc feature edits) in the current map data and the bulk map data updates. When the bulk map data updates are merged with the current map data, a point update for a map feature may conflict with the bulk update for the feature. The computing device can determine a perimeter of stable map features around the conflicted feature. The map features within the perimeter can correspond to a conflict island. The bulk updates for features within a conflict island (e.g., within the perimeter) can be deferred until resolved while bulk updates for features outside of a conflict island can be applied to the current map data.

An apparatus for managing maps is provided. The apparatus includes a processor configured to estimate a usage frequency of each of maps stored in a memory included in a vehicle and used for automated driving control of the vehicle, based on section information indicating sections used for automated driving control in each of the maps; and delete, from the memory, a map whose usage frequency is less than a frequency threshold.

In one embodiment, a method includes receiving from one or more magnetic-measurement devices one or more trajectories comprising magnetic measurements in an area collected by the magnetic-measurement devices over a period of time. The method also includes performing one or more correlation analyses on at least some of the trajectories to determine similarities in the trajectories. The method also includes storing portions of the trajectories that have determined similarities below predetermined thresholds for incorporation into a master geomagnetic map.