US2020196268A1PendingUtilityA1

System and method for positioning a gateway of an architecture

Assignee: BEIJING DIDI INFINITY TECHNOLOGY & DEV CO LTDPriority: Jun 20, 2017Filed: Feb 20, 2020Published: Jun 18, 2020
Est. expiryJun 20, 2037(~10.9 yrs left)· nominal 20-yr term from priority
G01S 5/015H04W 4/02H04W 48/18H04W 88/16H04W 8/02H04W 64/00G01C 15/00
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Claims

Abstract

Embodiments of the disclosure provide systems and methods for positioning a gateway of an architecture. The method may include determining a trajectory of a mobile device based on motion data acquired by the mobile device and a movement model, acquiring a first end position of the trajectory of the mobile device, detecting that the mobile device enters or exits the architecture, and determining a second end position of the trajectory upon the detection as the position of the gateway.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A computer-implemented method for positioning a gateway of an architecture, comprising:
 acquiring motion data from a mobile device when the mobile device is being moved, wherein the mobile device comprises at least one motion sensor configured to detect the motion data that is being transmitted to a server comprising at least one processor;   determining a trajectory of the mobile device based on the motion data and a movement model;   acquiring a first end position of the trajectory of the mobile device;   detecting that the mobile device enters or exits the architecture; and   determining the position of the gateway of the architecture by identifying a second end position of the trajectory upon the detection.   
     
     
         2 . The method of  claim 1 , further comprising
 acquiring, from the mobile device, positioning information of an outdoor trip taken by a user associated with the mobile device; and   identifying a destination of the outdoor trip as the first end position, wherein the mobile device subsequently enters the architecture.   
     
     
         3 . The method of  claim 1 , further comprising:
 acquiring, from the mobile device, positioning information of a trip taken by a user associated with the mobile device;   identifying an origin of the trip as the first end position,
 wherein the mobile device exits the architecture before the trip. 
   
     
     
         4 . The method of  claim 1 , further comprising identifying the architecture based on the first end position. 
     
     
         5 . The method of  claim 1 , wherein detecting that the mobile device enters or exits the architecture further includes:
 acquiring sensing signals with the mobile device, wherein the mobile device further comprises at least one signal receiver that receives the sensing signals;   transmitting the sensing signals from the mobile device to the server;   determining a reference value based on the sensing signals acquired by the mobile device;   comparing the reference value with a threshold value; and   determining that the mobile device enters or exits the architecture when the reference value is greater than the threshold value.   
     
     
         6 . The method of  claim 5 , wherein the sensing signals include at least one of barometric pressure, temperature, light intensity, Wireless Fidelity (WiFi) signals, or base station signals. 
     
     
         7 . The method of  claim 1 , further comprising generating the movement model by:
 collecting training motion data and a mobile-device trajectory corresponding to the training motion data;   generating feature vectors and a supervised signal based on the training motion data and the mobile-device trajectory; and   training the movement model based on the feature vectors and the supervised signal.   
     
     
         8 . The method of  claim 7 , wherein collecting the training motion data and the mobile-device trajectory comprises:
 sampling the training motion data at a given frequency within a given time window; and   determining the mobile-device trajectory within the given time window.   
     
     
         9 . The method of  claim 7 , wherein the training motion data comprises at least one of a magnetic field strength, a direction, a gravity value, or an acceleration value of at least one mobile device sampled within the given time window. 
     
     
         10 . The method of  claim 9 , wherein the feature vectors are associated with at least one of an average value, a variance, and a histogram of acceleration values of the at least one mobile device in each of X, Y, and Z axes in a Cartesian coordinate system. 
     
     
         11 . A system for positioning a gateway of an architecture, comprising:
 a server comprising at least one processor, a memory, and a server communication interface that receives motion data acquired by a mobile device, the memory including a movement model, wherein the at least one processor is configured to:
 acquire a trajectory of the mobile device based on the motion data acquired by the mobile device and the movement model; 
 acquire a first end position of the trajectory of the mobile device; 
 detect that the mobile device enters or exits the architecture; and 
 determine the position of the gateway of the architecture by identifying a second end position of the trajectory upon the detection. 
   
     
     
         12 . The system of  claim 11 , wherein to acquire the first end position of the trajectory of the mobile device, the at least one processor is further configured to:
 acquire, from the mobile device, positioning information of an outdoor trip taken by a user associated with the mobile device; and   identify a destination of the outdoor trip as the first end position, wherein the mobile device subsequently enters the architecture.   
     
     
         13 . The system of  claim 11 , wherein to acquire the first end position of the trajectory of the mobile device, the at least one processor is further configured to:
 obtain, by the mobile device, positioning information of a trip taken by a user associated with the mobile device; and   identify an origin of the trip as the first end position,
 wherein the mobile device exits the architecture before the trip. 
   
     
     
         14 . The system of  claim 11 , wherein the at least one processor is further configured to identify the architecture based on the first end position. 
     
     
         15 . The system of  claim 11 , wherein to detect that the mobile device enters or exits the architecture, the at least one processor is further configured to:
 acquire sensing signals with the mobile device, wherein the mobile device further comprises at least one signal receiver that receives the sensing signals;   determine a reference value based on the sensing signals acquired by the mobile device;   compare the reference value with a threshold value; and   determine that the mobile device enters or exits the architecture when the reference value is greater than the threshold value.   
     
     
         16 . The system of  claim 11 , wherein the at least one processor is further configured to generate the movement model by:
 collect training motion data and a mobile-device trajectory corresponding to the training motion data;   generate feature vectors and a supervised signal based on the training motion data and the mobile-device trajectory; and   train the movement model based on the feature vectors and the supervised signal.   
     
     
         17 . The system of  claim 16 , wherein to collect the training motion data and the mobile device trajectory, the at least one processor is further configured to:
 sample the training motion data at a given frequency within a given time window; and   determine the mobile-device trajectory within the given time window.   
     
     
         18 . The system of  claim 16 , wherein the training motion data comprises at least one of a magnetic field strength, a direction, a gravity value, or an acceleration value of at least one mobile device sampled within the given time window. 
     
     
         19 . The system of  claim 18 , wherein the feature vectors are associated with at least one of an average value, a variance, and a histogram of acceleration values of the at least one mobile device in each of X, Y, and Z axes in a Cartesian coordinate system. 
     
     
         20 . A non-transitory computer-readable medium that stores a set of instructions that, when executed by at least one processor of a positioning system, causes the positioning system to perform a method for positioning a gateway of an architecture, the method comprising:
 acquiring motion data with a mobile device when the mobile device is being moved, wherein the mobile device comprises at least one motion sensor configured to detect the motion data that is being transmitted to a server comprising at least one processor;   determining a trajectory of the mobile device based on the motion data acquired by the mobile device and a movement model;   acquiring a first end position of the trajectory of the mobile device;   detecting that the mobile device enters or exits an architecture; and   determining the position of the gate way of the architecture by identifying a second end position of the trajectory upon the detection.

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