Techniques for generating and validating map data that may be used by a vehicle to traverse an environment are described herein. The techniques may include receiving sensor data representing an environment and receiving map data indicating a traffic control annotation. The traffic control annotation may be associated, as projected data, with the sensor data based at least in part on a position or orientation associated with a vehicle. Based at least in part on the association, the map data may be updated and sent to a fleet of vehicles. Additionally, based at least in part on the association the vehicle may determine to trust the sensor data more than the map data while traversing the environment.

A map update device is configured to: generate an integrated map based on a plurality of input maps, each of the plurality of input maps including a probe data element assigned with a reliability; determine a reliability of the generated integrated map; update a reference map by reflecting a difference between the reference map and the integrated map when the determined reliability of the integrated map is equal to or higher than a first predetermined level; store, as one of accumulated data elements, the integrated map when the determined reliability of the integrated map is lower than the first predetermined level and equal to or higher than a second predetermined level, the second predetermined level being set to be lower than the first predetermined level; update the integrated map based on the accumulated data elements; and determine the reliability of the updated integrated map.

A navigation system includes: a communication circuit configured to: transmit a map update request, and receive an index delta in response to the map update request; a control circuit, coupled to the communication circuit, configured to: access the index delta includes a map update allocated for the map update request; integrate the index delta into a map database copied into the map update; perform an integration check on the map update; parse the map update includes generating a map data update; and enable an on-board map database including the map data update for display on and control of a device.

Disclosed herein are systems, methods, and computer program products for object detection. The methods comprise performing the following operations by a computing device: obtaining an image that comprises a plurality of layers superimposed on each other; identifying a center point of a robot on a map; selecting a portion of the map contained in a geometric shape overlaid on the map so as to have a center set to the center point of the robot; obtaining map information associated with the selected portion of the map; generating at least one additional layer using the map information; superimposing the at least one additional layer onto the image to generate a modified image; and performing an object detection algorithm to detect at least one object in the modified image.

A system, map server and method of navigating a vehicle through an intersection. The map server includes a remote processor and a communication device. The remote processor determines a first road edge for a first road entering an intersection and a second road edge for a second road entering the intersection. The remote processor constructs an intersection edge that connects a first point on the first road edge to a second point on the second road edge. The communication device communicates the intersection edge to the vehicle. A vehicle processor at the vehicle navigates the vehicle through the intersection using the intersection edge.

A map processing system includes a feature quantity calculating section configured to calculate a feature quantity of a feature point included in a map, an integrated feature point generating section configured to integrate a plurality of feature points to generate an integrated feature point, an integrated feature point matching section configured to match integrated feature points between a plurality of maps, a feature point matching section configured to match individual feature points between the plurality of maps, and a map processing section configured to process a map based on a matching result of the integrated feature points and a matching result of the individual feature points.

A non-transitory, computer-readable storage medium has stored therein a program for causing a processor to execute a process that includes: adjusting a difference between a first environment map created based on a feature of a given image among captured first time-series images and a second environment map created based on a feature of a given image among second time-series images captured separately from the first time-series images; comparing a position of an image related to a position and orientation calculated based on information on the first environment map with a position of an image related to a position and orientation calculated based on information on the second environment map, and calculating an adjustment value for adjusting a difference between the first environment map and the second environment map based on a result of the comparison.

The present disclosure provides a method, an apparatus, a computing device and a computer readable storage medium for detecting an environmental change, and relates to the field of autonomous driving. The method obtains a global map for an area and a first local map built in real time for a sub-area in the area; and determines an environmental change in the first sub-area by comparing the first local map and the global map and determining a first probability of the environmental change. Techniques of the present disclosure can automatically detect environmental changes that affect the positioning of autonomous driving, thereby facilitating the updating of positioning maps.

Systems and methods for vehicle-based determination of HD map update information. Sensor-equipped vehicles may determine locations of various detected objects relative to the vehicles. Vehicles may also determine the location of reference objects relative to the vehicles, where the location of the reference objects in an absolute coordinate system is also known. The absolute coordinates of various detected objects may then be determined from the absolute position of the reference objects and the locations of other objects relative to the reference objects. Newly-determined absolute locations of detected objects may then be transmitted to HD map services for updating.

The present application provides a method for detecting map error information, an apparatus, a device, a vehicle and a storage medium, where the method includes: acquiring current environmental feature information around a vehicle; and detecting, according to the current environmental feature information and map data, whether the map data is erroneous. Whether the map data is erroneous is detected in real time based on the current environmental feature information during the process of the actual traveling of the vehicle, which improves timeliness and efficiency for the map error detection, thereby the map data can be corrected in time and the traveling safety of the vehicle may be improved.