Augmenting tracking based on beacon signal using orientation and obstruction analysis
US-2022260667-A1 · Aug 18, 2022 · US
US11912290B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11912290-B2 |
| Application number | US-202117516107-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 1, 2021 |
| Priority date | Jan 28, 2021 |
| Publication date | Feb 27, 2024 |
| Grant date | Feb 27, 2024 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
A self-position estimation accuracy verification method includes a step of moving a mobile object to a first check point, a step of acquiring first check information, a step of starting a self-position estimation using the first check information as an initial value, a step of moving the mobile object to a second check point while continuing the self-position estimation, a step of acquiring second check information, and a step of calculating a deviation between a position and a posture of the mobile object on the map estimated by the self-position estimation at the second check point and a position and a posture of the mobile object on the map indicated in the second check information, and verifying the accuracy of the self-position estimation based on the deviation.
Opening claim text (preview).
What is claimed is: 1. A self-position estimation accuracy verification method of verifying accuracy of self-position estimation that estimates a position and a posture of a mobile object on a map, a check point being a point at which the position and the posture of the mobile object on the map is specifiable by a self-position estimation system comprising at least one processor and a position specifying device, the position specifying device is an external device, when the mobile object is positioned, and a first check point and a second check point being any two check points that are different from each other from among a plurality of check points, the position specifying device being installed at each of the check points, the self-position estimation accuracy verification method comprising: an initial step of moving the mobile object to the first check point; a step of specifying a position and a posture of the mobile object positioned at the first check point on the map and acquiring first check information indicating specified information; a step of starting the self-position estimation using the first check information as an initial value; a step of moving the mobile object to the second check point while continuing the self-position estimation; a step of specifying a position and a posture of the mobile object positioned at the second check point on the map and acquiring second check information indicating the specified information; and a verification step of calculating a deviation between a position and a posture of the mobile object on the map estimated by the self-position estimation at the second check point and the position and the posture of the mobile object on the map indicated in the second check information, and verifying the accuracy of the self-position estimation based on the deviation. 2. The self-position estimation accuracy verification method according to claim 1 , further comprising: in the verification step, when the deviation is equal to or higher than a predetermined threshold value, for sets of the first check point and the second check point, which are the same or different from each other, returning to the initial step and repeating each of the steps, wherein when the deviation is equal to or higher than the predetermined threshold value and repetition is executed for the number of times equal to or higher than a predetermined number of times, the accuracy of the self-position estimation is determined to be lowered. 3. The self-position estimation accuracy verification method according to claim 1 , wherein, in the verification step, when the deviation is lower than a predetermined threshold value, the accuracy of the self-position estimation is determined to be normal. 4. A self-position estimation system which executes self-position estimation that estimates a position and a posture of a mobile object on a map, the self-position estimation system comprising: at least one processor configured to execute: a position specifying process for specifying the position and the posture of the mobile object on the map when the mobile object is positioned at any of a plurality of check points; a self-position estimation process for executing the self-position estimation using the position and the posture of the mobile object on the map specified in the position specifying process as initial values; and an estimation accuracy verification process for verifying accuracy of the self-position estimation in the self-position estimation process, wherein: a first check point and a second check point are any two check points that are different from each other from among the plurality of check points; first check information is information on the position and the posture of the mobile object on the map specified in the position specifying process when the mobile object is positioned at the first check point; second check information is information on the position and the posture of the mobile object on the map specified in the position specifying process when the mobile object is positioned at the second check point; estimation accuracy verification information is information on a position and a posture of the mobile object on the map estimated in the self-position estimation process when the mobile object is moved to the second check point after the self-position estimation is started using the first check information as the initial value in the self-position estimation process when the mobile object is positioned at the first check point; in the estimation accuracy verification process, the at least one processor is configured to calculate a deviation between the position and the posture of the mobile object on the map indicated by the estimation accuracy verification information and the position and the posture of the mobile object indicated by the second check information on the map, and to verify the accuracy of the self-position estimation based on the deviation; and the self-position estimation system further comprising a position specifying device, the position specifying device is an external device configured to specify the position and the posture of the mobile object, the position specifying device is installed at each of the check points. 5. The self-position estimation system according to claim 4 , wherein: the estimation accuracy verification information and the second check information are sequentially given for each of a plurality of the same or different sets of the first check point and the second check point; in the estimation accuracy verification process, the at least one processor is configured to: sequentially determine, for the sequentially given estimation accuracy verification information and second check information, whether the deviation is lower than, or equal to or higher than a predetermined threshold value; and determine, upon determining that the deviation is equal to or higher than the threshold value for the number of times equal to or higher than a predetermined number of times, that the accuracy of the self-position estimation is lowered. 6. The self-position estimation system according to claim 4 , wherein, in the estimation accuracy verification process, the at least one processor is configured to determine, upon determining that the deviation is lower than a predetermined threshold value, that the accuracy of the self-position estimation is normal. 7. The self-position estimation system according to claim 4 , wherein: the external device includes a position specifying external sensor; and the position specifying external sensor is a sensor configured to detect information for specifying the position and the posture of the mobile object on the map.
Diagnosing or detecting failures; Failure detection models · CPC title
Sensor drifts or sensor failures · CPC title
in accordance with safety or protection criteria, e.g. avoiding hazardous areas (monitoring the location of vehicles within a certain area, e.g. forbidden or allowed areas, in traffic control systems for road vehicles G08G1/13) · CPC title
combined with non-inertial navigation instruments · CPC title
using signals provided by a source external to the vehicle (involving a plurality of vehicles G05D1/0287; automatically controlling vehicle speed responsive to externally generated signals B60K31/0058) · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.