Method and system for positioning using radar and motion sensors
US-2020158862-A1 · May 21, 2020 · US
US11709252B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11709252-B2 |
| Application number | US-201916547266-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 21, 2019 |
| Priority date | Aug 21, 2019 |
| Publication date | Jul 25, 2023 |
| Grant date | Jul 25, 2023 |
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A method comprising: obtaining pose data representative of a pose of a portable device during observation of an environment comprising an object; obtaining distance data representative of a distance between the object and a receiver during the observation of the environment, using at least one radio waveform reflected from the object and received by the receiver; and processing the pose data and the distance data to generate a topological model of the object.
Opening claim text (preview).
What is claimed is: 1. A method of generating a topological model of an object, the method comprising: obtaining first pose data representative of a pose of a portable device during observation of an environment comprising the object, wherein the pose of the portable device represents a position and orientation of the portable device within the environment; obtaining distance data representative of a distance between the object and a receiver during the observation of the environment, using at least one radio waveform reflected from the object and received by the receiver, wherein the receiver comprises at least one antenna of the portable device and wherein each of the at least one antenna is a Wi-Fi antenna, respectively; processing the first pose data and transformation data representative of a transformation, during the observation of the environment, from a first frame of reference associated with the portable device to a second frame of reference associated with the receiver, to generate second pose data representative of a pose of the receiver during the observation of the environment, wherein the pose of the receiver represents a position and orientation of the receiver within the environment; and processing the second pose data and the distance data to generate the topological model of the object, wherein the topological model is a volume model of the object, in which a cross-sectional thickness of the object is modelled. 2. The method according to claim 1 , comprising transmitting the at least one radio waveform using a transmitter of a transceiver comprising the receiver, for reflection from the object. 3. The method according to claim 1 , wherein the at least one radio waveform comprises a radio waveform originated from a transmitter of a device separate from the portable device. 4. The method according to claim 1 , wherein the at least one radio waveform is beamformed such that the at least one radio waveform is transmitted in a beamformed direction. 5. The method according to claim 4 , comprising: obtaining beamforming data representative of at least one beamforming parameter associated with beamforming of the at least one radio waveform; and using the beamforming data to obtain the distance data. 6. The method according to claim 1 , wherein the portable device is a smartphone or an augmented reality (AR) device. 7. The method according to claim 1 , wherein the portable device comprises an image capture device, and the method comprises processing image data representative of the observation of the environment captured by the image capture device to obtain the first pose data. 8. The method according to claim 7 , wherein the image data represents at least one image in which at least part of the object is obscured by a further object and the at least one radio waveform is transmitted through the further object before and after being reflected from the object and before being received by the receiver. 9. The method according to claim 7 , wherein processing the second pose data and the distance data comprises processing the second pose data, the distance data and the image data to generate the topological model of the object, wherein the image data represents at least one color image of the environment and a color of the topological model is derived from the at least one color image. 10. The method according to claim 7 , comprising: processing the image data to obtain attenuation data representative of an estimated attenuation of the at least one radio waveform by at least part of the object; and using the attenuation data to obtain the distance data. 11. The method according to claim 1 , wherein the at least one radio waveform has a frequency within a range of approximately 40 gigahertz (GHz) to approximately 60 GHz. 12. A portable device comprising: a receiver comprising at least one antenna, wherein each of the at least one antenna is a Wi-Fi antenna, respectively; storage for storing: first pose data representative of a pose of the portable device during observation of an environment comprising an object, wherein the pose of the portable device represents a position and orientation of the portable device within the environment; distance data representative of a distance between the object and a receiver during the observation of the environment; and a topological model of the object, wherein the topological model is a volume model of the object, in which a cross-sectional thickness of the object is modelled; at least one processor communicatively coupled to the storage; and a model generation engine operable to: obtain the first pose data; obtain the distance data using at least one radio waveform reflected from the object and received by the receiver; process the first pose data and transformation data representative of a transformation, during the observation of the environment, from a first frame of reference associated with the portable device to a second frame of reference associated with the receiver, to generate second pose data representative of a pose of the receiver during the observation of the environment, wherein the pose of the receiver represents a position and orientation of the receiver within the environment; and process the second pose data and the distance data to generate the topological model of the object. 13. The portable device according to claim 12 , wherein the portable device is a smartphone. 14. The portable device according to claim 12 , wherein the portable device comprises an image capture device, and the model generation engine is operable to process image data representative of the observation of the environment captured by the image capture device to obtain the first pose data. 15. The portable device according to claim 12 , comprising at least one of an inertial measurement unit (IMU) or a depth sensor for use in obtaining the first pose data. 16. The portable device according to claim 12 , wherein the storage comprises: a first security domain for storing the topological model; and a second security domain for storing application data representative of at least one application; and the portable device further comprises: a security system to control data transfer between the first security domain and the second security domain, wherein the security system is arranged to prevent the at least one application from accessing the topological model. 17. The portable device according to claim 16 , comprising a measurement generation engine to process the topological model to obtain measurement data based on a proportion of at least part of the object, wherein the security system is arranged to allow an application of the at least one application to access the measurement data. 18. The method according to claim 4 , wherein the at least one radio waveform is beamformed in accordance with an Institute of Electrical and Electronics Engineers (IEEE) 802.11 family of standards.
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