A system for associating perceived and mapped lane edges can include a processor and a memory. The memory includes instructions such that the processor is configured to receive a sensor data representing a perceived object; receive map data representing a map object; determine a cost matrix a cost matrix indicative of an association cost for associating the map object to the perceived object; compare the association cost with an association cost threshold; and associate the perceived object with the map object based on the association cost.

A method comprises receiving, at a vehicle system of a vehicle, sensor data from one or more sensors; detecting an object based on the sensor data; determining whether a dynamic map maintained by a remote computing device includes the detected object; upon determination that the dynamic map includes the detected object, determining a remaining time-to-live associated with the detected object based on data associated with the dynamic map; and transmitting data about the detected object to the remote computing device if the determined remaining time-to-live associated with the detected object is less than a predetermined threshold time.

A system, method, and computer-readable medium having instructions stored thereon to enable an ego vehicle having an autonomous driving function to estimate and traverse a curved segment of highway utilizing radar sensor data. The radar sensor data may comprise stationary reflections and moving reflections. The ego vehicle may utilize other data, such as global positioning system data, for the estimation and traversal. The estimation of the curvature may be refined based upon a lookup table or a deep neural network.

A system and a method are provided that are capable of providing map data for supporting a variety of user network environments and selecting data zones freely. A navigation terminal includes a reception unit adapted to receive a file in which map data of a specific zone is stored, from a map provision server; and an execution unit adapted to execute a navigation function on the specific zone using the file. The file is produced by an individual unit with respect to each of geographic areas divided by a mesh unit having a variable size. The size of the mesh unit is decided according to the amount of information included in the geographic area such that the file has an equalized size.

A POI request comprising query criteria and information identifying a starting location is received. A network version starting segment is identified based on the information identifying the starting location. A route determination algorithm is expanded, starting at the starting segment. When the route determination algorithm is expanded to a new segment, it is determined whether any POIs associated with the new segment match the query criteria. Responsive to determining that a POI associated with the new segment satisfies the query criteria, a POI route from the starting segment to the POI is extracted. Map version agnostic identifiers are generated for each segment of the POI routes. Each of the map version agnostic identifiers are coded using at least one coding function. A bloom filter having the coded map version agnostic identifiers as members is generated. The bloom filter is provided such that a mobile apparatus receives the bloom filter.

A method is provided in which a device associated with a vehicle generates and transmits probe data samples comprising positional data. The method comprises obtaining detected event sequence data indicative of a sequence of detected events relating to the vehicle, obtaining search pattern data indicative of a search pattern of events and using the search pattern data and at least a portion of the detected event sequence data to determine whether a pattern of detected events matching the obtained search pattern of events is present in the at least a portion of the sequence of detected events. When a pattern of detected events matching the obtained search pattern of events is found in the at least a portion of the sequence of detected events, the device generates a probe data sample comprising data indicative of one or both of the search pattern and the matched pattern of events, and data indicative of a position of the device associated with the matched pattern of events. The device transmits the generated probe data sample.

A system for collecting traffic information includes a vehicle having at least one sensor for collecting dead reckoning (DR) information, and a global positioning system (GPS) receiver configured to receive GPS information, and a server that maps the DR information and the GPS information to a server map to generate first map matching information, and collects the first map matching information as the traffic information when it is determined that a version of a software platform of the vehicle is a latest version and all the DR information and the GPS information are received.

A computer-implemented method of refining a high definition (HD) map of a parking lot for autonomous vehicle parking (AVP) is disclosed. The method including: a vehicle navigating in the parking lot using the HD map; the vehicle using one or more sensors to scan for objects in the parking lot; the vehicle augmenting the HD map using a simultaneous localization & mapping SLAM method; adding objects detected by the one or more sensors to the HD map; and contributing towards improving a learning score of the HD map.

Systems and methods for situational behavior of an autonomous vehicle are disclosed. In one aspect, an autonomous vehicle includes at least one perception sensor configured to generate perception data indicative of at least one other vehicle on a roadway, a non-transitory computer readable medium, and a processor. The processor is configured to determine that the other vehicle is violating one or more rules of the roadway based on the perception data, tag the other vehicle as a non-compliant driver, and modify control of the autonomous vehicle in response to tagging the other vehicle as a non-compliant driver.

A method of generating a roadway map includes receiving an image of a roadway. The method further includes identifying features in the roadway. The method further includes assigning a feature identification (FID) number to each of the identified features. The method further includes generating a score for each of the identified features based on a comparison between the identified features and a corresponding feature having a same FID number from a previously generated roadway map. The method further includes determining whether each of the identified features have changed based on whether the corresponding score exceeds a predetermined threshold. The method further includes updating the roadway map by changing identified features determined to have changed and maintaining identified features determined to have remain unchanged.