It is an object of the present invention to provide a predictive traffic law enforcement profiler apparatus and method which incorporates a means to determine current location, time, velocity and also incorporates a means to utilize a database derived from historic traffic law enforcement records, crowd sourced records and historical traffic data and also incorporates a predictive processing means to provide historic traffic law enforcement records and estimates of enforced speed limits and enforcement profiles, patrol locations and schedules of traffic law enforcement to a driver.

Embodiments relate to methods for efficiently encoding sensor data captured by an autonomous vehicle and building a high definition map using the encoded sensor data. The sensor data can be LiDAR data which is expressed as multiple image representations. Image representations that include important LiDAR data undergo a lossless compression while image representations that include LiDAR data that is more error-tolerant undergo a lossy compression. Therefore, the compressed sensor data can be transmitted to an online system for building a high definition map. When building a high definition map, entities, such as road signs and road lines, are constructed such that when encoded and compressed, the high definition map consumes less storage space. The positions of entities are expressed in relation to a reference centerline in the high definition map. Therefore, each position of an entity can be expressed in fewer numerical digits in comparison to conventional methods.

The disclosure relates to using ambient lighting conditions with passenger and goods pickups and drop offs with autonomous vehicles. For instance, a map of ambient lighting conditions for stopping locations may be generated by receiving ambient lighting condition data for predetermined stopping locations and arranging this data into a plurality of buckets based on time and one of the stopping locations. A vehicle may then be controlled in an autonomous driving mode in order to stop for a passenger by both observing ambient lighting conditions for different stopping locations and, in some instances, also using the map.

A method for landmark-based localization of a vehicle involves forming a plurality of position hypotheses for a vehicle position based on a forming of associations between sensor landmark objects detected by sensor and map landmark objects stored in a digital map. A most likely vehicle position is ascertained as the localization result on the basis of a probabilistic filtering of the position hypotheses, and a guaranteed position area is ascertained, in which a predefined error upper limit is not exceeded. This is performed several times with different set-ups of the probabilistic filtering. The localization result with the smallest guaranteed position area is selected as vehicle position if the guaranteed position areas overlap fully in pairs.

A system accesses a three-dimensional map of a geographic region and generates a two-dimensional projection of the road based on the three-dimensional map. The two-dimensional projection comprises a plurality of points along the road and each point is assigned a score measuring a navigability of the point. Based on the navigability score of each point and history of vehicle positions on the road, the system identifies a plurality of navigable points on the two-dimensional projection of the road. Based on the plurality of navigable points, the system determines a navigable surface corresponding to a physical area over which a vehicle may safely navigate and navigable surface boundaries surrounding that area. The navigable surface area and boundaries on the two-dimensional projection are converted into a three-dimensional representation, which the system uses to generate an updated three-dimensional map of the geographic region.

In a map data generation apparatus, probe map data is generated for each of data management units corresponding to (i) road sections, (ii) road links, or (iii) meshes into which a map is divided, based on a plurality of probe data collected from a plurality of vehicles. Difference data are obtained by comparing basic map data with the probe map data; the basic map data is updated based on a plurality of difference data, for each of the data management units. A transient data is discriminated from data corresponding to the probe data or the difference data; the transient data is excluded from the data.

A work area management method includes storing first area information that represents a first work area that determines a first work route along which a first work device moves to perform a first work in a field, and that is determined on the basis of a positioning position of the first work device. The work area management method also includes outputting the first area information as information that represents an area for determining a second work route along which a second work device different from the first work device moves to perform a second work in the field. The outputting the first area information may include outputting warning information representing that the first area information is unsuitable for determining the second work route when the first area information does not satisfy a predetermined condition.

A method for generating a map. The method comprises: acquiring current position information (302) of a target device (301) and a pre-generated electronic map (304), wherein the central position of the electronic map (304) is the position represented by position information of the target device (301) and acquired when or before the electronic map (304) is generated; and in response to the determination that a current position (302) represented by the current position information (302) meets pre-set adjustment conditions, using a new thread to execute the following adjustment steps to generate an adjusted electronic map (306): generating a new electronic map (305) with the current position (302) as the central position and adjusting the pre-generated electronic map (304) according to the new electronic map (305).

In one embodiment, a method includes, by a magnetic-measurement device, collecting on ore more magnetic measurements in association with a position and trajectory of the magnetic-measurement device; determining a velocity of the magnetic-measurement device; generating localization information for the magnetic-measurement device based at least in part on the velocity of the magnetic-measurement device; recording the localization information associated with the magnetic measurements; and communicating the localization information and the magnetic measurements for incorporation into a geomagnetic map.

Map fusion method, device and storage medium are provided, the method includes: determining, based on search guidance information, a search area of a first map from currently displayed at least two maps, the first map including first sample points; determining a second map from the at least two maps excluding the first map and determining, in the second map, a corresponding area of the search area, the second map including second sample points; determining target points, from the second sample points of the corresponding area, having matched attribute information with the first sample points in the search area, thereby to obtain sample point matching pairs, the sample point matching pair including the target point and the first sample point matched with the target point; fusing, based on the sample point matching pairs, the first map and the second map to obtain a target fusion map.