Examples of systems and methods for locating movable objects such as carts (e.g., shopping carts) are disclosed. Such systems and methods can use dead reckoning techniques to estimate the current position of the movable object. Various techniques for improving accuracy of position estimates are disclosed, including compensation for various error sources involving the use of magnetometer and accelerometer, and using vibration analysis to derive wheel rotation rates. Also disclosed are various techniques to utilize characteristics of the operating environment in conjunction with or in lieu of dead reckoning techniques, including characteristic of environment such as ground texture, availability of signals from radio frequency (RF) transmitters including precision fix sources. Such systems and methods can be applied in both indoor and outdoor settings and in retail or warehouse settings.

Examples of systems and methods for locating movable objects such as carts (e.g., shopping carts) are disclosed. Such systems and methods can use dead reckoning techniques to estimate the current position of the movable object. Various techniques for improving accuracy of position estimates are disclosed, including compensation for various error sources involving the use of magnetometer and accelerometer, and using vibration analysis to derive wheel rotation rates. Also disclosed are various techniques to utilize characteristics of the operating environment in conjunction with or in lieu of dead reckoning techniques, including characteristic of environment such as ground texture, availability of signals from radio frequency (RF) transmitters including precision fix sources. Such systems and methods can be applied in both indoor and outdoor settings and in retail or warehouse settings.

Systems and methods for unmanned aerial vehicle (UAV) positional anchors. Signals may be broadcast via a signal interface of an anchor in a defined space which also includes a UAV. The UAV is at one location within the defined space, and the anchor is at another location within the defined space. A virtual environment may be generated that corresponds to the defined space. The virtual environment may include at least one virtual element, and a location of the virtual element within the virtual environment may be based on the location of the anchor within the defined space. A visual indication may be generated when the UAV is detected within a predetermined distance from the location of the anchor. In some embodiments, a visual element may be generated to augment the anchor where a location of the visual element is based on a location of the anchor within the defined space. The visual element may be changed when the UAV is flown to the location of the anchor within the defined space.

Examples of systems and methods for locating movable objects such as carts (e.g., shopping carts) are disclosed. Such systems and methods can use dead reckoning techniques to estimate the current position of the movable object. Various techniques for improving accuracy of position estimates are disclosed, including compensation for various error sources involving the use of magnetometer and accelerometer, and using vibration analysis to derive wheel rotation rates. Also disclosed are various techniques to utilize characteristics of the operating environment in conjunction with or in lieu of dead reckoning techniques, including characteristic of environment such as ground texture, availability of signals from radio frequency (RF) transmitters including precision fix sources. Such systems and methods can be applied in both indoor and outdoor settings and in retail or warehouse settings.

Examples of systems and methods for locating movable objects such as carts (e.g., shopping carts) are disclosed. Such systems and methods can use dead reckoning techniques to estimate the current position of the movable object. Various techniques for improving accuracy of position estimates are disclosed, including compensation for various error sources involving the use of magnetometer and accelerometer, and using vibration analysis to derive wheel rotation rates. Also disclosed are various techniques to utilize characteristics of the operating environment in conjunction with or in lieu of dead reckoning techniques, including characteristic of environment such as ground texture, availability of signals from radio frequency (RF) transmitters including precision fix sources. Such systems and methods can be applied in both indoor and outdoor settings and in retail or warehouse settings.

Systems, methods, and computer readable media that determine a location of a device using multi-source geolocation data, where the methods include accessing new location data from a location source of a plurality of location sources, where the new location data includes a new position and an accuracy of the new position, and determining a current position and an accuracy of the current position based on the new position, the accuracy of the new position, an previous current position, and an accuracy of the previous current position. The method further includes determining a change in location based on a difference between the current position and the previous current position. Some systems, methods, and computer readable media are directed to scheduling location requests to generate location data where the scheduling and the actual requests are made based on a number of conditions.

An indoor positioning method includes judging whether a positioning terminal enters a coverage range of a virtual beacon. If yes, judging whether a distance between the positioning terminal and the virtual beacon gradually decreases to obtain a judgement result, according to the judgement result, adjusting the step size of a PDR positioning algorithm. When the distance gradually decreases, the step size of the PDR positioning algorithm is decreased, and when the distance gradually increases, the step size of the PDR positioning algorithm is increased. The positioning terminal is then positioned by a PDR positioning algorithm with the step size adjusted to obtain a positioning result. If not, the positioning terminal is positioned by a PDR positioning algorithm with the step size not adjusted to obtain a positioning result. According to the present invention positioning can be more accurate by adaptively adjusting the step size in the PDR positioning algorithm.

An apparatus, method and computer program is described. The method can include receiving a first measurement report from a first communication node of a mobile communication system. The first measurement report can include downlink measurement data generated at a user device in response to a positioning reference signal sent by the first communication node. The method can further include receiving a second measurement report from the first communication node. The second measurement report can include uplink measurement data generated at the first communication node in response to an uplink reference signal sent by the user device. The method can also include determining an integrity of the measurement data based on a comparison of said uplink and downlink measurement data and setting an integrity verification notification in accordance with the determined integrity.

Examples of systems and methods for locating movable objects such as carts (e.g., shopping carts) are disclosed. Such systems and methods can use dead reckoning techniques to estimate the current position of the movable object. Various techniques for improving accuracy of position estimates are disclosed, including compensation for various error sources involving the use of magnetometer and accelerometer, and using vibration analysis to derive wheel rotation rates. Also disclosed are various techniques to utilize characteristics of the operating environment in conjunction with or in lieu of dead reckoning techniques, including characteristic of environment such as ground texture, availability of signals from radio frequency (RF) transmitters including precision fix sources. Such systems and methods can be applied in both indoor and outdoor settings and in retail or warehouse settings.

Real-time event detection is performed on nodes in an environment using position data that is not available to a node in real time but is delayed. A node performs real time event detection by predicting a position of the node based at least in part on delayed position data. The delayed position data is aligned to other sensor data. Aligning the position data may include predicting a position based on dead reckoning and/or a machine learning model. One or more collections of data, each collection including sensor data and predicted position data, is input to a model that performs event detection.