Systems and methods for detecting vehicle movements

• US 10,176,717 B2
• Filed: 01/31/2018
• Issued: 01/08/2019
• Est. Priority Date: 04/01/2017
• Status: Active Grant

• Current Assignee: Pied Parker Inc.
• Original Assignee: Pied Parker Inc.
• Inventors: Mazzola, Robert, Rosas-Maxemin, Gianni, Sandoval, Francisco
• Primary Examiner(s): Ziaeianmehdizadeh, Navid
• Application Number:
  US15/885,375
• Publication Number:
  US 20180286236A1
• Time in Patent Office: 342 Days
• Field of Search: None
• CPC Class Codes: B60W 40/00 Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
• CPC Class Codes: G01C 21/3492 employing speed data or traffic data, e.g. real-time or historical traffic control systems for road vehicles involving transmission of navigation instructions to the vehicle G08G1/0968
• CPC Class Codes: G01C 21/362 received from an external device or application, e.g. PDA, mobile phone or calendar application
• CPC Class Codes: G01C 21/3664 Details of the user input interface, e.g. buttons, knobs or sliders, including those provided on a touch screen; remote controllers; input using gestures
• CPC Class Codes: G01C 21/3685 the POI's being parking facilities
• CPC Class Codes: G08G 1/012 from other sources than vehicle or roadside beacons, e.g. mobile networks
• CPC Class Codes: G08G 1/0129 for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/096827 where the route is computed onboard
• CPC Class Codes: G08G 1/096838 where the user preferences are taken into account or the user selects one route out of a plurality
• CPC Class Codes: G08G 1/096888 where input information is obtained using learning systems, e.g. history databases

Abstract

Vehicular movement detection systems and methods are disclosed. A computing device is configured to monitor sensor data and location data associated with a first user device including one or more sensors, and monitor traffic data associated with a location of the first user device based on the sensor data and location data. In response to the data, the computing device determines whether to provide a user-selectable message to the first user device based on a vehicle speed, proximity to a destination, and vehicle speed relative to traffic speed. The user-selectable message comprises a prompt configured to transmit a search request for a listing location. In response to the determination, the user-selectable message is provided to the first user device. In response to receiving a search request, the computing device is configured to transmit instructions to the first user device to direct the first user device to a first listing location.

Claims

1. A system, comprising:

a non-transitory memory;

one or more processors coupled to the non-transitory memory and configured to execute instructions to perform operations comprising;

monitoring sensor data and location data associated with a user device, the user device including one or more sensors;

monitoring traffic data associated with a location of the user device based on the sensor data and the location data;

matching a user profile that comprises a plurality of factors to real-time user data, wherein the real-time user data includes the sensor data, the location data, historical user data, traffic data, and a location of the user device moving from higher order roads to lower order roads;

when it is determined that a user-selectable message is to be provided to the user device based on the matching, providing the user-selectable message on the user device, the user-selectable message comprising a prompt configured to transmit a search request for a listing location of one or more listing locations;

receiving the search request in response to the user-selectable message, the search request including search parameters associated with the one or more listing locations; and

providing instructions causing a vehicle to autonomously directed move to a first listing location of the one or more listing locations.

2. The system of claim 1, wherein the user-selectable message includes a deep link.

3. The system of claim 2, wherein the deep link is configured to be activated by audio confirmation or touch of a display of the user device.

4. The system of claim 1, wherein the determination to provide the user-selectable message on the user device is based on machine learning and artificial intelligence.

5. The system of claim 1, wherein the determination to provide the user-selectable message on the user device is further based on a frequency of the vehicle braking and a frequency of the vehicle turning.

6. The system of claim 1, wherein the determination to provide the user-selectable message on the user device is based on a plurality of factors, the plurality of factors being weighed based on a driver profile or the historical user data.

7. A computer-implemented method for determining when a vehicle operator is searching for a listing location, comprising:

monitoring, using one or more processors coupled to a non-transitory memory, sensor data and location data associated with a user device, the user device including one or more sensors;

monitoring traffic data associated with a location of the user device based on the sensor data and the location data;

matching a user profile that comprises a plurality of factors to real-time user data, wherein the real-time user data includes the sensor data, the location data, historical user data, traffic data, and a location of the user device moving from higher order roads to lower order roads;

when it is determined that a user-selectable message is to be provided on the user device based on the matching, providing the user-selectable message on the user device, the user-selectable message comprising a prompt configured to transmit a search request for a listing location of one or more listing locations;

receiving the search request in response to the user-selectable message, the search request including search parameters associated with the one or more listing locations; and

providing instructions causing a vehicle to autonomously move to a first listing location of the one or more listing locations.

8. The computer-implemented method of claim 7, wherein the user-selectable message includes a deep link.

9. The computer-implemented method of claim 8, wherein the deep link is configured to be activated by audio confirmation or touch of a display of the user device.

10. The computer-implemented method of claim 7, wherein the determination to provide the user-selectable message on the user device is based on machine learning and artificial intelligence.

11. The computer-implemented method of claim 7, wherein the determination to provide the user-selectable message on the user device is further based on a frequency of the vehicle braking and a frequency of the vehicle turning.

12. The computer-implemented method of claim 7, wherein the determination to provide the user-selectable message on the user device is further based on the user device is near one or more listing locations based on the location data of the user device.

13. The computer-implemented method of claim 7, wherein the user-selectable message provided to the user device is a notification, alert, update, text message, or chime.

14. The computer-implemented method of claim 7, wherein the determination to provide the user-selectable message on the user device is further based on a vehicle speed relative to an average traffic speed and a posted speed limit, the posted speed limit corresponding with a speed limit on a direction of travel of the user device.

15. A user device, comprising:

a non-transitory memory;

one or more processors coupled to the non-transitory memory and configured to execute instructions to perform operations comprising;

monitoring sensor data and location data associated with the user device, the user device including one or more sensors;

monitoring traffic data associated with a location of the user device based on the sensor data and the location data;

matching a user profile that comprises a plurality of factors to real-time user data, wherein the real-time user data includes the sensor data, the location data, historical user data, traffic data, and a location of the user device moving from higher order roads to lower order roads;

providing a user-selectable message on the user device based on the matching, the user-selectable message comprising a prompt configured to transmit a search request for a listing location of one or more listing locations;

transmitting the search request in response to activation of the prompt, the search request including search parameters associated with the one or more listing locations; and

generating instructions causing a vehicle to autonomously move to a first listing location of the one or more listing locations.

16. The user device of claim 15, wherein the user-selectable message includes a deep link.

17. The user device of claim 16, wherein the deep link is configured to be activated by audio confirmation or touch of a display of the user device.

18. The user device of claim 15, wherein the search parameters include one or more of a user rating, a price range, a time range, a type of listing location, and proximity of availability time to a current time.

19. The user device of claim 15, wherein providing the user-selectable message on the user device is further based on a frequency of the vehicle braking and a frequency of the vehicle turning.

20. The user device of claim 15, wherein providing the user-selectable message on the user device is further based on whether a weighted sum of factors associated with vehicular movement exceeds a threshold.