In an aspect, an initiator transmits a positioning reference signal. The initiator receives a plurality of responder positioning reference signals sent from individual responders of a plurality of responders. The initiator transmits a measurement message comprising a first set of measurements that are determined based on the positioning reference signal and the plurality of responder positioning reference signals. The initiator receives responder measurement messages sent from the individual responders of the plurality of responders. The initiator receives updated map information from an anchor and updates pre-existing map information based on the updated map information.

A mobile body (200) includes a generation unit (264), a first communication unit (220), a second communication unit (230), an acquisition unit (265), a providing unit (266), and an integration unit (267). A generation unit (264) generates map information. The first communication unit (220) communicates with a management device (100). The second communication unit (230) communicates with other mobile body using a communication band different from a communication band used by the first communication unit (220). The acquisition unit (265) acquires first map information generated in other mobile body through communication by the second communication unit (230). The providing unit (266) provides second map information to other mobile body through communication by the second communication unit (230). The integration unit (267) integrates the first map information and the second map information to generate integrated map information.

To provide dynamic generation and suggestion of map tiles, a server device receives from a user device a request for map data for a particular geographic region. The server device obtains a set of user contextual data and a set of candidate map tiles associated with the particular geographic region. The server device then selects one or more of the set of candidate map tiles based on the set of user contextual data, and transmits the one or more selected map tile to the user device for display.

The described technology is generally directed towards digital map truth maintenance. Map inputs shared among multiple users of a shared overlay map service can have a range of credibility, from not credible to highly credible. The disclosed digital map truth maintenance technologies can be used to enhance credibility of shared map inputs. Credibility values can be calculated for map inputs, based on any of multiple factors. Map inputs having sufficiently high credibility, such as a credibility value determined to be above a threshold value, can be shared among multiple mobile devices.

A map management system includes: at least one cloud server including a first processor configured to manage map data for a preset area; a plurality of edge servers, each edge server including a second processor configured to manage map data for a preset area; at least one vehicle including a third processor configured to collect raw data for updating map data during traveling; and a plurality of blockchains including the at least one cloud server and the plurality of edge servers.

Techniques are disclosed for mapping in a movable object environment. A method of mapping may include obtaining mapping data from a scanning sensor of a compact payload coupled to an unmanned aerial vehicle (UAV) the compact payload comprising the scanning sensor, one or more cameras, and an inertial navigation system (INS) configured to be synchronized using a reference clock signal, obtaining feature data from a first camera of the one or more cameras, obtaining positioning data from the INS, associating the mapping data with the positioning data based at least on the reference clock signal to generate geo-referenced data, and storing the geo-referenced data and the feature data to a removable storage medium.

An object is to provide a technique capable of estimating a blind area region which can be used in an automatic driving to optimize the automatic driving, for example. A blind area estimation device includes an acquisition part and an estimation part. The acquisition part acquires an object region based on object information. The object information is information of an object in a predetermined region detected by a detection part. The object region is a region of the object. The estimation part estimates a blind area region based on the object region. The blind area region is a region which is a blind area for the detection part caused by the object.

Vehicle navigation control systems in autonomous driving rely on the accuracy of maps which include features about a vehicle's environment so that a vehicle may safely navigate through its surrounding area. Accordingly, this disclosure provides methods and devices which implement mechanisms for communicating features observed about a vehicle's environment for use in updating maps so as to provide vehicles with accurate and “real-time” features of its surroundings while taking network resources, such as available frequency-time resources, into consideration.

In an embodiment, a method comprises detecting, at a processor of an autonomous vehicle, a discrepancy between a map and a property sensed by at least one sensor onboard the autonomous vehicle, the property being associated with an external environment of the autonomous vehicle. In response to detecting the discrepancy, and based on the discrepancy, an annotation for the map is generated via the processor. A signal representing the annotation is caused to be transmit to a compute device that is remote from the autonomous vehicle. A signal representing a map update is received from the compute device that is remote form the autonomous vehicle. The map update is generated based on the annotation, the map update (1) including replacement information for a region of the map associated with the annotation, and (2) not including replacement information for a remainder of the map.

Systems, methods, and computer-readable media are disclosed for a systems and methods for improved smart infrastructure data transfer. An example method may involve receiving, by a smart infrastructure device and from a first vehicle, first information associated with the first vehicle in a first format associated with a first communication protocol. The method may also include converting the first information from the first format into an agnostic format. The method may also include capturing an image, video, or real-time feed of an environment of the smart infrastructure device. The method may also include identifying the first vehicle and a second vehicle in the image, video, or real-time feed. The method may also include determining, based on the image, video, or real-time feed, that the second vehicle is temporarily or permanently incapable of performing a communication with the smart infrastructure device. The method may also include analyzing the image, video, or real-time feed to generate second information associated with the second vehicle. The method may also include converting the second information into the agnostic format. The method may also include converting the first information and the second information from the agnostic format into third information in a first format. The method may also include sending the third information to the first vehicle.