A computerised method of creating map data from position data derived from the positions (606) of at least one vehicle over a period of time, the map data comprising a plurality of navigable segments representing segments (602,604) of a navigable route (607) in the area covered by the map and the map data also comprising intersections between navigable segments (602,604) representing intersections in the navigable route, the method comprising using a processing circuitry to perform the following steps: i. processing the position data; ii. calculating from the processing of the position data a transit time or set of transit times for at least some of the intersections in the map data; and iii generating further map data, which for at least some of the intersections therein, contains the calculated transit time or set of transit times associated with the intersection for which the calculation was made.

A method, apparatus and system for performing optical positioning. The apparatus comprises a laser transmitter configured to transmit a laser beam toward a retroreflector, where the location of retroreflector is known and the retroreflector reflects the laser beam and imparts modulation onto the laser beam. An optical receiver receives the reflected laser beam reflected from the retroreflector and a processor extracts a code from the modulation, determines the location of the retroreflector and calculates the distance from the apparatus to the retroreflector and uses the code and distance to determine a position of the apparatus.

A non-transitory computer readable storage medium has instructions executed by a processor to adaptively increase Markov chain kernel window width while processing global positioning system (gps) samples as a function of the ratio between geodesic distances of a current route to an actual geodesic distance between pairs of gps samples. The total cost of different kernel sequences is found based on an aggregated sum of shortest path runs through graph edges within different kernel sequences. Road weights are modified based on relative distance of prospective snap locations of road segments to the gps points, so that the shortest path runs with respect to all possible snap locations are selected. Selected kernel sequences are presented as a proposed mapped vehicle route.

Disclosed are a method for generating a real-time relative map, an intelligent driving device, and a storage medium. The method includes following steps: determining a number of collected lane guiding lines based on GPS trajectory data and included in a lane guiding line list; if the lane guiding line list includes a plurality of collected lane guiding lines, sorting the plurality of collected lane guiding lines according to coordinate values, which are on a coordinate axis perpendicular to a traveling direction of a vehicle, of points having a same serial number on each of the collected guiding lines, and generating a real-time relative map based on at least the sorted collected lane guiding lines and a lane width.

An approach is provided for automatically detecting a road closure during a probe anomaly. The approach, for example, involves determining a drop in an expected vehicle volume in a geographic area over a time epoch, wherein the expected vehicle volume represents an expected number of unique vehicles traveling in the geographic area over the time epoch. The approach also involves computing an adjusted expected vehicle volume for a road segment in the geographic area based on the drop and a historical expected vehicle volume for the road segment over the time epoch. The approach further involves determining a time window comprising at least the time epoch. The approach further involves performing an automatic road closure detection on the road segment using the time window.

Embodiments of the present disclosure provide a method and apparatus for processing positioning data, a device, a storage medium and a vehicle. In the method according to the embodiments of the present disclosure, the vehicle is controlled to collect positioning data continuously in the five stages including a first stage for performing dynamic alignment, a second stage for traveling along a path of a character “8”, a third stage for collecting map data, a fourth stage for traveling along a path of the character “8”, and a fifth stage for performing the dynamic alignment, and processing of error convergence is performed on the positioning data collected in the third stage, according to the positioning data collected in the first stage, the second stage, the fourth stage and the fifth stage, to obtain the final positioning data after the error convergence.

A map information output device including a map information output unit that outputs control map information for automatic driving control of a vehicle to an automatic driving control unit The map information output device includes: a map storage unit storing an original map for constructing the control map information; a position obtainer obtaining a current position of the vehicle; a map information constructor sequentially constructing the control map information based on the original map of a first range determined with reference to the current position obtained by the position obtainer; and a download processor downloading and storing the original map of a second range, which is a range determined based on the current position and includes the first range, sequentially from a map distribution device outside the vehicle by wireless communication.

This application provides a map generation method and system for a self-moving device, and an automatic working system. The method includes: obtaining first coordinate data of a plurality of location points on a boundary of a working region of a self-moving device; determining second coordinate data of at least two location points of the plurality of location points; and aligning the first coordinate data of the plurality of location points to a coordinate system in which the second coordinate data is located by using the second coordinate data of the at least two location points, to generate a target map of the working region, where positioning precision of a first positioner configured to obtain the first coordinate data of the plurality of location points is higher than positioning precision of a second positioner configured to obtain the second coordinate data of the at least two location points.

Systems and methods are provided for vehicle navigation. In one implementation, a host vehicle-based sparse map feature harvester system may include at least one processor programmed to receive a plurality of images captured by a camera onboard the host vehicle as the host vehicle travels along a road segment in a first direction, wherein the plurality of images are representative of an environment of the host vehicle; detect one or more semantic features represented in one or more of the plurality of images, the one or more semantic features each being associated with a predetermined object type classification; identify at least one position descriptor associated with each of the detected one or more semantic features; identify three-dimensional feature points associated with one or more detected objects represented in at least one of the plurality of images; receive position information, for each of the plurality of images, wherein the position information is indicative of a position of the camera when each of the plurality of images was captured; and cause transmission of drive information for the road segment to an entity remotely-located relative to the host vehicle, wherein the drive information includes the identified at least one position descriptor associated with each of the detected one or more semantic features, the identified three-dimensional feature points, and the position information.

A method of processing speed data is disclosed for use in the provision of enhanced map data including a plurality of navigable segments which together may define a navigable route in an area covered by a digital map. In at least one embodiment, the method includes (i) obtaining the speed data for at least one segment, the speed data including the measured speed of travel of a plurality of vehicles through the segment at different times; (ii) generating from the speed data for the at least one segment, data on at least one normal speed profile including an average speed of travel through the segment for a time recurring weekly; (iii) for at least one specified time, generating for the at least one segment data on at least one abnormal speed profile including an expected speed of travel through the segment during the specified time, the specified time being a time that does not occur weekly; and (iv) assigning to the at least one segment of the map data the corresponding normal speed profile and the abnormal speed profile for use by a navigation device in routing algorithms to determine a journey across the area.