A positioning method includes: acquiring the credibility of each positioning subsystem in different states and generating a credibility data table; acquiring the real-time credibility from the corresponding credibility data table according to real-time positioning data of each positioning subsystem; calculating a first information distribution weight coefficient of each positioning subsystem involving a fusion operation of an filter according to the real-time credibility of each positioning subsystem; respectively feeding back, by a main filter, a second information distribution weight coefficient of each positioning subsystem involving the fusion operation to each sub-filter according to global data; determining a final information distribution weight coefficient of each positioning subsystem involving the fusion operation according to the first information distribution weight coefficient and the second information distribution weight coefficient; and performing, by the filter, the fusion operation according to the final information distribution weight coefficient of each positioning subsystem and outputting a final positioning result.

A method of determining locations of devices in a peer-to-peer network includes, at a first device, performing an intrinsic location measurement using a plurality of inertial measurement units of the first device and broadcasting to other devices first location information of the first device based on the intrinsic location measurement. The method further includes, at a second device, receiving the first location measurement information of the first device from the first device, receiving second location measurement information of the first device from a third device, and comparing the first and second location information of the first device. Based on whether the first and second location information match, the method includes, at the second device, adjusting a trust factor for the first device and broadcasting the adjusted trust factor and consensus location information of the first device.

In a multilateration system based on an absolute distance measurement and a multilateration method using the multilateration system, the multilateration system is configured to obtain spatial coordinates of an object moving in a space. The system includes a tracking unit having a plurality of tracking devices, and a control calculation part having a dead path estimation part and a tracking device position calculation part. The tracking devices are positioned differently with each other and each of the tracking devices measures a distance to the object. The dead path estimation part is configured to pre-estimate a dead path which is a distance between a measurement reference surface of each tracking device and a central position of each tracking device. The tracking device position calculation part is configured to calculate the central position of each tracking device via nonlinear optimization.

A method for determining the position and orientation of a vehicle, this method including measuring, with a magnetometer, a raw-measurement vector; obtaining a reference vector encoding, in a terrestrial reference frame, the amplitude and the direction of the geomagnetic field, the components of the reference vector being obtained from a pre-recorded model of the geomagnetic field and not measured by the magnetometer; then only if the margin of error in an estimate of the orientation of the vehicle is below a predetermined threshold, updating the pre-recorded data from which scale and offset coefficients used for correcting the raw measurement from the magnetometer are obtained, this update being performed using the raw vector, the reference vector and the new estimate of the orientation of the vehicle.

The present disclosure provides a sweeping robot obstacle avoidance treatment method based on free move technology, step 1 and step 2 are as following. Step 1: predetermining a sweeping robot provided with a six-axis gyroscope, a grating signal sensor, and a left-and-right-wheel electric quantity sensing unit. Step 2: performing a real-time sensing and data acquisition on an operation state of the sweeping robot by utilizing the six-axis gyroscope, the grating signal sensor, and the left-and-right wheel electric quantity sensing unit to obtain a real-time data information.

A method for processing GPS route data of a vehicle is proposed, in which the GPS route data are used for the route guidance of the vehicle along a route (1), wherein vehicle positions and an offroad position information or an onroad position information are generated as route data, wherein a vehicle position calculation function for route guidance of the vehicle is used, if erroneous vehicle positions are generated from the GPS route data. Furthermore, a control device for carrying out a method is proposed.

Disclosed herein is a system and a method for wirelessly installing one or more data measurement sensors in a vehicle wherein the one or more data measurement sensors operate on unlicensed frequencies. Each of the one or more data measurement sensors are equipped with a sensor module in communication with a main controller through a data communication network. The one or more data measurement sensors are powered independently and not dependent on the aircraft power. The main controller is operable to record, and aggregate the received sensor data from one or more data measurement sensors and transmit to a server arrangement for further processing.

A navigation solution for a vehicle is provided by obtaining motion sensor data from a sensor assembly of the vehicle, detecting a static condition for the vehicle based at least in part on the motion sensor data, selectively enabling reduced power operation and providing the navigation solution for the vehicle while reduced power operation is enabled. While reduced power operation is enabled, motion may be detected so that reduced power operation is disabled and a subsequent navigation solution is provided for the vehicle while reduced power operation is disabled.

A positioning device measures a position of a vehicle by including a controller. The controller provides (i) a first positioning system to obtain a first positioning result having a first accuracy by performing positioning using a signal from a GNSS satellite and (ii) a second positioning system to obtain a second positioning result having a second accuracy higher than the first accuracy, by using acquired vehicle-related information, instead of or in addition to the first positioning result. The controller selects, as a selected positioning system to obtain a selected positioning result, either (i) the first positioning system or (ii) the second positioning system. In response to determining that the second accuracy of the second positioning result is lower than the first accuracy of the first positioning result, the controller is configured to switch the selected positioning system to select the first positioning system.

The invention discloses a house structure with expandable function, comprising a house body (20), wherein an elevator shaft (21) is provided in the house body (20), and a carrying elevator (22) is provided in the elevator shaft (21); a multifunctional balcony (23) is further provided on both sides of the elevator shaft (21), and the multifunctional balcony (23) and the elevator shaft (21) are connected via a landing door (24); the car of the carrying elevator (22) is provided with a car front door, a car left door and a car right door, respectively; a multifunctional cabin (1) can be detachably connected to an automatic carrying system (35) capable of autonomous driving. The house structure provided by the invention can take into account the owner's demand for various aspects of the house, and improves the functionality of the house.