Resource allocation using vehicle maneuver prediction
US-2024420566-A1 · Dec 19, 2024 · US
US2016094941A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016094941-A1 |
| Application number | US-201514863877-A |
| Country | US |
| Kind code | A1 |
| Filing date | Sep 24, 2015 |
| Priority date | Sep 25, 2014 |
| Publication date | Mar 31, 2016 |
| Grant date | — |
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Example positioning techniques include: generating an initial particle set, randomly allocating different moving step lengths for each particle in the initial particle set, updating position information of each particle at a previous moment to obtain a current particle set, rating usability of each particle according to position information of each particle in the current particle set and a signal fingerprint received at a current moment, acquiring a moving step length of each particle having a rating higher than a first predetermined threshold in the current particle set, and updating a moving step length of each particle having a rating lower than the first predetermined threshold according to the acquired moving step length. The techniques of the present disclosure obtain a moving step length closest to the actual step length of a person, and update the moving step length in time with the change of the step length of the person.
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What is claimed is: 1 . A method comprising: matching a signal fingerprint of an electromagnetic signal received by a mobile terminal with signal fingerprints in a pre-generated signal fingerprint map at an initial positioning moment; generating a particle set according to a matching result; randomly allocating different moving step lengths for each particle in the initial particle set; updating position information of each particle in the particle set to obtain a current particle set according to a moving step number and a moving direction, detected by the mobile terminal at the current moment, and a moving step length of each particle; rating usability of each particle according to position information of each particle in the current particle set and a signal fingerprint received at the current moment; acquiring one or more moving step lengths of one or more particles having a rating higher than a first rating threshold in the current particle set; and updating one or more moving step lengths of another one or more particle having a rating lower than the first rating threshold according to the acquired moving step length. 2 . The method of claim 1 , wherein the rating usability of each particle according to position information of each particle in the current particle set and a signal fingerprint received at the current moment comprises: acquiring position information and signal strength of a signal fingerprint closest to a respective particle in the signal fingerprint map; and rating the usability of the respective particle according to the signal fingerprint acquired at the current moment and the acquired position information and signal strength. 3 . The method of claim 1 , further comprising: rasterizing the signal fingerprint map; and storing a corresponding relationship between each raster and an identification of a respective signal fingerprint closest to each raster. 4 . The method of claim 3 , further comprising: querying the identification of the respective signal fingerprint closest to a respective raster in which a respective particle is located from the signal fingerprint map according to the corresponding relationship; and acquiring the position information and signal strength of the respective signal fingerprint closest to the respective particle according to the queried identification. 5 . The method of claim 1 , further comprising: prior to acquiring one or more moving step lengths of one or more particles having a rating higher than a first rating threshold in the current particle set, computing an aggregation degree of particles in the current particle set according to the ratings of each particle; and determining that the aggregation degree of the particles in the current particle set is higher than the first aggregation degree threshold. 6 . The method of claim 5 , further comprising: after the computing the aggregation degree of particles in the current particle set according to the ratings of each particle, deleting particles having ratings lower than a second rating threshold in the current particle set, in response to determining that the aggregation degree is lower than a second aggregation degree threshold and higher than the first aggregation degree threshold; generating new particles having ratings higher than the second rating threshold, a number of the generated new particles being equal to the number of the deleted particles, according to position information of remaining particles in the current particle set after the deleting; and forming an updated current particle set. 7 . The method of claim 6 , further comprising: determining a position of the mobile terminal according to the positions of the particles in the updated current particle set. 8 . The method of claim 1 , further comprising: sampling the signal fingerprints in advance at a plurality of sampling points in an area to be positioned; and storing the signal fingerprints and corresponding position information in the pre-generated signal fingerprint map. 9 . The method of claim 1 , wherein a respective particle represents a candidate of position information, a direction, and a step length of the mobile terminal. 10 . A mobile terminal positioning device comprising: one or more processors; and memory having stored thereon computer-executable components comprising: a particle initialization unit that matches a signal fingerprint of an electromagnetic signal received by a mobile terminal with signal fingerprints in a pre-generated signal fingerprint map at an initial positioning moment, generates a particle set according to a matching result, and randomly allocates different moving step lengths for each particle in the initial particle set; a particle updating unit that updates position information of each particle in the particle set to obtain a current particle set according to a moving step number and a moving direction, detected by the mobile terminal at the current moment, and a moving step length of each particle; a particle rating unit that rates usability of each particle according to position information of each particle in the current particle set and a signal fingerprint received at the current moment; a step length acquisition unit that acquires one or more moving step lengths of one or more particles having a rating higher than a first rating threshold in the current particle set; and a step length updating unit that updates one or more moving step lengths of another one or more particle having a rating lower than the first rating threshold according to the acquired moving step length. 11 . The device of claim 10 , wherein the particle rating unit includes: a fingerprint acquisition subunit that acquires position information and signal strength of a signal fingerprint closest to a respective particle in the signal fingerprint map; and a usability rating subunit that rates the usability of the respective particle according to the signal fingerprint acquired at the current moment and the acquired position information and signal strength. 12 . The device of claim 11 , wherein: the signal fingerprint map is rasterized; and a corresponding relationship between each raster and an identification of a respective signal fingerprint closest to each raster is stored. 13 . The device of claim 12 , wherein the fingerprint acquisition subunit further: queries the identification of the respective signal fingerprint closest to a respective raster in which a respective particle is located from the signal fingerprint map according to the corresponding relationship; and acquires the position information and signal strength of the respective signal fingerprint closest to the respective particle according to the queried identification. 14 . The device of claim 10 , wherein the computer-executable components further comprise: an aggregation degree computation unit that computes an aggregation degree of particles in the current particle set according to the ratings of each particle. 15 . The device of claim 14 , wherein the computer-executable components further comprise: a first acquisition control unit that, when the aggregation degree of the particles in the current particle set is higher than a first aggregation degree threshold, controls the step length acquisition unit to acquire moving step length of each particle having a rating higher than the first rating threshold in the current particle set. 16 . The device of claim 10 , wherein the computer-executable components further comprise a map generation unit that: samp
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