A server acquires, from a terminal owned by a user, pairing information in which a user ID for identifying the user and a mobility ID for identifying a mobility used by the user are associated with each other; continuously acquires, from the terminal, terminal position information indicating a position of the terminal and associated with the user ID; specifies a user ID of a user using the mobility that is stopped, based on the pairing information; and determines, as position information of the mobility, the terminal position information associated with the user ID having been specified.

A positioning system and a calibration method of an objection location are provided. The calibration method includes the following. Roadside location information of a roadside unit (RSU) is obtained. Object location information of one or more objects is obtained. The object location information is based on a satellite positioning system. An image identification result of the object or the RSU is determined according to images of one or more image capturing devices. The object location information of the object is calibrated according to the roadside location information and the image identification result. Accordingly, the accuracy of the location estimation may be improved.

Provided is a driver assistance system that may acquire more accurate position information of a vehicle without extracting landmark information or feature point information around the vehicle, the driver assistance system including: a global positioning system (GPS) module configured to acquire GPS information of the vehicle; a lidar configured to acquire point cloud data for an outside field of view of the vehicle; a communicator configured to receive a high definition map; and a controller comprising at least one processor configured to process the point cloud data, the high definition map, speed data and steering angle data, the speed data and the steering angle data being received through a vehicle communication network, wherein the controller is configured to generate dead reckoning information in response to processing the speed data and the steering angle data, generate position information of the vehicle based on the dead reckoning information and the GPS information, acquire intensity data around the vehicle in response to processing the high definition map received based on the position information, and compare the intensity data and the point cloud data to correct the position information.

A method for determining a location of a vehicle includes a global navigation satellite system (GNSS) location system in a manufacturing environment. The method includes determining, when a key cycle transition condition of the vehicle and a vehicle gear transition condition of the vehicle are satisfied, a location parameter of the vehicle using an auxiliary location detection system, where the location parameter includes a location of the vehicle, identification information of the vehicle, and a timestamp of the vehicle. The method includes determining a vehicle time period based on the location parameter and a previous location parameter of the vehicle and validating a manufacturing routine of the vehicle when the location parameter satisfies a location condition and the vehicle time period satisfies a time condition.

A method for determining a location of a vehicle includes a global navigation satellite system (GNSS) location system in a manufacturing environment. The method includes determining, when a key cycle transition condition of the vehicle and a vehicle gear transition condition of the vehicle are satisfied, a location parameter of the vehicle using an auxiliary location detection system, where the location parameter includes a location of the vehicle, identification information of the vehicle, and a timestamp of the vehicle. The method includes determining a vehicle time period based on the location parameter and a previous location parameter of the vehicle and validating a manufacturing routine of the vehicle when the location parameter satisfies a location condition and the vehicle time period satisfies a time condition.

A solution for providing user equipment (UE) location information during an emergency call (e.g., an E911 call) includes: detecting an emergency call originating from the UE; determining a location of the UE; based on at least detecting the emergency call originating from the UE, transmitting the location of the UE across a cellular network to an emergency monitoring node (e.g., a public safety answering points (PSAP) and/or a gateway mobile location center (GMLC)); and based on at least detecting the emergency call originating from the UE, transmitting the location of the UE across a packet data network (e.g., the internet, using a data plan) to the emergency monitoring node. This provides an alternate path for the location information, and some examples use a larger set of location information sources. In some examples, during the emergency call, based on available battery power, the UE location information may be updated.

A positioned location adjustment method and apparatus. The method includes: a first vehicle sends a request message to a plurality of reference vehicles, where the request message includes current location information of the first vehicle; the first vehicle receives a response message from the reference vehicle, where the response message includes positioned location information of the reference vehicle, a positioning error value of the reference vehicle, and vehicle identifier information of the reference vehicle; the first vehicle determines a second vehicle from the plurality of reference vehicles based on the positioning error value of the reference vehicle; and the first vehicle adjusts the first positioned location information based on positioned location information of the second vehicle and vehicle identifier information of the second vehicle, to obtain second positioned location information. According to the embodiments, positioning precision and accuracy can be improved.

An indoor positioning method based on image visual features. A Wi-Fi signal strength value of a Wi-Fi tag closest to a current location of a mobile device is matched with a signal strength list in a map database to obtain a first location of a first Wi-Fi tag with the greatest matching degree. A SURF descriptor of an image of the Wi-Fi tag closest to the current location of the mobile device is matched with SURF descriptors recorded in the signal strength list in the map database to discover an image of a Wi-Fi tag with the greatest matching degree, thereby obtaining a second location of a second Wi-Fi tag corresponding to the image of the Wi-Fi tag with the greatest matching degree. A three location of a three Wi-Fi tag is obtained according to a homography matrix corresponding to the image of the Wi-Fi tag with the largest matching degree and an empirical value of a positioning error. Positioning information of the mobile device is obtained according to the first location, the second location and the third location.

A driver assistance system for an ego vehicle, and a method for a driver assistance system is provided. The system is configured to refine a coarse geolocation method based on the detection of the static features located in the vicinity of the ego vehicle. The system performs at least one measurement of the visual appearance of each of at least one static feature located in the vicinity of the ego vehicle. Using the at least one measurement, a position of the ego vehicle relative to the static feature is calculated. The real world position of the static feature is identified. The position of the ego vehicle relative to the static feature is calculated, which is, in turn, used to calculate a static feature measurement of the vehicle location. The coarse geolocation measurement and the the static feature measurement are combined to form a fine geolocation position. By combining the measurements, a more accurate location of the ego vehicle can be determined.

Method for improving global positioning performance of a first road vehicle (10), the method comprising, by means of a data server (3, 4, 4″): acquiring data from onboard sensors (2a, 2b, 2c, 2d, 2e, 2f, 2g) arranged on the first road vehicle (10) and on at least two neighbouring road vehicles (10′, 10″, 10′″), the data comprising data on relative positions and data on heading angle and velocity of the road vehicles (10, 10′, 10″, 10′″), and acquiring global positioning data of at least two of the road vehicles (10, 10′, 10″, 10′″), processing (102) data comprising the global positioning data, the data, with corresponding timestamp, acquired from the onboard sensors (2a, 2b, 2c, 2d, 2e, 2f, 2g), and a motion model for each of the first road vehicle (10) and the at least two neighbouring road vehicles (10′, 10″, 10′″) using a data fusion algorithm, calculating adjusted global positioning data for the first road vehicle (10) and communicating (104) the adjusted global positioning data to a positioning system (6) of the first road vehicle (10).