A navigation apparatus and method are provided. The apparatus receives an input data and at least a piece of positioning information. The apparatus performs a semantic analysis on the input data to generate a plurality of pieces of semantic information. The apparatus selects at least one of the semantic information as a filtering condition. The apparatus compares the filtering condition with a plurality of semantic tags in the map data to determine whether the semantic tags have at least one first semantic tag that meets the filtering condition. When determining that the semantic tags have the at least one first semantic tag, the apparatus generates a comparison result, wherein the comparison result is related to an object corresponding to the at least one first semantic tag. The apparatus generates a navigation route according to the comparison result and the at least a piece of positioning information.

An example method includes obtaining raw telematics data from a vehicle trip; comparing bounding boxes associated with respective intersections to the raw telematics data points from the vehicle trip in order to isolate points that are within bounding boxes associated with intersections and validating that the raw telematics data points within a bounding box associated with an intersection are associated with an actual traversal of the intersection by comparing a line created by combining the raw telematics data points within the bounding box to a spatial average line for other trips through the intersection. For each intersection, an a determining, for each intersection, an average acceleration of the portion of the vehicle trip through the intersection may be compared to the average acceleration of trips through the intersection by other vehicles in order to determine a measure of safety associated with the portion of the vehicle trip through the intersection.

A change point detection device includes a memory 170 that stores map information representing a structure associated with a traveling condition on and around a road, an object detection unit 162 that detects a shielding object 20 hiding the structure from an image acquired by an in-vehicle camera 110 mounted on a vehicle 100 and representing an environment around the vehicle 100, a collation unit 163 that eliminates the structure hidden by the shielding object 20 in the map information, collates the image with the map information, and calculates a coincidence degree between the image and the map information, and a change point detection unit 164 that determines, when the coincidence degree is less than or equal to a predetermined threshold value, that the structure represented in the image has a change point different from the corresponding structure represented in the map information.

The present disclosure provides an intersection vertex height value acquisition method and apparatus, an electronic device and a storage medium, and relates to the field of artificial intelligence such as intelligent transportation. The method may include: determining roads with starting points or ending points located in a to-be-processed intersection; and performing, for any vertex in a polygonal intersection region corresponding to the intersection, the following processing: determining a road corresponding to the vertex, taking the determined road as a matching road of the vertex, and determining a height value of the vertex according to height values of endpoints on a road center line of the matching road.

Various embodiments include a sensor data system for a vehicle, the system comprising: a sensor in the vehicle, the sensor configured to collect environment data; a communication device configured to receive second environment model data from another vehicle; and a processing unit. The processing unit is configured to: calculate a first localization position of at least one of the vehicle or an object in the environment of the vehicle; generate first environment model data based at least in part on the environment data collected, wherein the first environmental model data and the second environment model data both contain localization data; compare the first localization data with the second localization data; and from the comparison determine a correction to the first localization position.

Systems, methods, and computer-readable media are provided for receiving traffic object data from a plurality of autonomous vehicles, comparing the traffic object data of each of the plurality of autonomous vehicles with known traffic object data, determining a discrepancy between the traffic object data of each of the plurality of autonomous vehicles and the known traffic object data, grouping the traffic object data of each of the plurality of autonomous vehicles based on the determining of the discrepancy between the traffic object data of each of the plurality of autonomous vehicles and the known traffic object data, determining whether a group of traffic object data of the grouping of the traffic object data of each of the plurality of autonomous vehicles exceeds a threshold, and updating a traffic object map based on the traffic object data of the group that exceeds the threshold.

A system and method for managing location-based information associated with the oil and gas industry. The system may comprise a computing device connected to a location-based service, wherein the location-based service comprises energy operations data which is associated with a specific geographic location, and wherein the computing device is associated with a graphical map interface. The graphical map interface is configured to display location-based information. The graphical map interface can also be configured to display an indication of the frequency of an event. The location-based information can be associated with a geo-fence.

The above measurement device acquires output data from a sensor unit for detecting surrounding feature, and extracts, from the output data, data corresponding to detection result in a predetermined range in a predetermined positional relation with an own position. The predetermined range is determined in accordance with accuracy of the own position. Then, the measurement device executes predetermined processing based on the extracted data.

A method for providing an information signal (8) for at least partially automatic vehicle control involves an environment sensor system (3) of a motor vehicle (1) being used to generate measurement data for surroundings of the motor vehicle (1). A computing unit (2) of the motor vehicle (1) is used to identify an object (7) and a landmark (5) on the basis of the measurement data. The computing unit (4) is used to determine a first relative position of the object (7) in relation to the landmark (5) on the basis of the measurement data. A communication interface (4) of the motor vehicle (1) is used to generate the information signal (8) on the basis of the first relative position.

A controller obtains plural images generated by an imaging device disposed onboard a vehicle, and analyzes at least first and second images of the plural images to identify a feature of interest that is offboard the vehicle and at least partially depicted in the first and second images. The controller determines a first unit vector for the feature of interest based on a first location of the feature of interest in the first image, and determines a second unit vector for the feature of interest based on a second location of the feature of interest in the second image. The controller calculates a third location of the feature of interest, relative to a physical environment, based on the first unit vector, the second unit vector, and at least one of a first reference location of the vehicle or a second reference location of the vehicle.