Method and system for determining traffic-related characteristics

Patent metadata

Field	Value
Publication number	US-11062594-B2
Application number	US-201916387319-A
Country	US
Kind code	B2
Filing date	Apr 17, 2019
Priority date	Jun 28, 2017
Publication date	Jul 13, 2021
Grant date	Jul 13, 2021

Abstract

A method for traffic characterization associated with a vehicle including collecting a movement dataset sampled at least at one of a location sensor and a motion sensor associated with the vehicle, during a driving session associated with movement of the vehicle; extracting a set of features from the movement dataset associated with movement of the vehicle during the driving session; and determining one or more traffic-related characteristics associated with the vehicle based on the set of features.

First claim

We claim:

1. A method for traffic compliance characterization with a mobile computing device located within a vehicle, comprising:
collecting a first location dataset at a location sensor of the mobile computing device during a driving session defining a first time period of movement of the vehicle, wherein the mobile computing device is associated with a user;
collecting a first motion dataset at a motion sensor of the mobile computing device during the driving session;
extracting a vehicle motion characteristic from at least one of the location dataset and the motion dataset;
extracting a vehicle location from the location dataset;
at a remote computing system in communication with the mobile device, inferring that a visual traffic indicator is located proximal the vehicle location based on the vehicle motion characteristic;
at the remote computing system, determining a traffic rule associated with the visual traffic indicator based on the vehicle motion characteristic;
mapping the visual traffic indicator and the associated traffic rule to the vehicle location, and storing the visual traffic indicator and the associated traffic rule in association with the vehicle location at a traffic rule map of the remote computing system.

2. The method of claim 1 , wherein inferring that the visual traffic indicator is located proximal the vehicle location based on the vehicle motion characteristic comprises determining that the vehicle is stopped at the vehicle location for a time period exceeding a threshold duration, and thereby determining that the visual traffic indicator is a stop sign.

3. The method of claim 1 , wherein inferring that the visual traffic indicator is located proximal the vehicle location based on the vehicle motion characteristic comprises extracting a pattern of accelerometer signals corresponding to a deceleration period followed by an acceleration period, and thereby determining that the visual traffic indicator is a traffic light.

4. The method of claim 1 , wherein inferring that the visual traffic indicator is located proximal the vehicle location based on the vehicle motion characteristic comprises determining a current vehicle speed based on the vehicle motion characteristic, and thereby determining that the visual traffic indicator is a speed limit indicator.

5. The method of claim 1 , further comprising:
identifying a set of user devices corresponding to a set of secondary vehicles driving proximal the vehicle location during the driving session;
determining a traffic-related characteristic associated with the movement based on a set of proximal movement datasets collected by the set of user devices contemporaneously with the driving session; and
at the remote computing system, determining the traffic rule associated with the visual traffic indicator based on the set of proximal movement datasets.

6. The method of claim 1 , further comprising:
collecting an image dataset at an image sensor of the mobile computing device, wherein the image sensor of the mobile computing device is arranged within the vehicle to image a spatial region forward of the vehicle;
extracting visual traffic indicator data from the image dataset;
validating the traffic rule based on the visual traffic indicator data; and
updating the traffic rule map stored at the remote computing system based on validating the traffic rule.

7. A method for traffic compliance characterization with a mobile computing device located within a vehicle, comprising:
collecting a first location dataset at a GPS sensor of the mobile computing device during a driving session defining a first time period of movement of the vehicle, wherein the mobile computing device is associated with a user;
collecting a first motion dataset at an accelerometer of the mobile computing device during the driving session;
extracting a vehicle motion characteristic from at least one of the location dataset and the motion dataset;
extracting a vehicle location from the location dataset;
retrieving an inferred traffic rule associated with the vehicle location from a traffic rule map stored at a remote computing system;
determining a traffic compliance parameter associated with the vehicle motion characteristic based on a comparison between the inferred traffic rule and the vehicle motion characteristic; and
in response to determining the traffic compliance parameter, initiating a traffic-related action.

8. The method of claim 7 , wherein the vehicle motion characteristic comprises a vehicle speed, wherein the inferred traffic rule comprises a speed limit, and wherein determining the traffic compliance parameter comprises comparing the vehicle speed to the speed limit.

9. The method of claim 8 , further comprising:
collecting an optical dataset of a region forward of the vehicle, wherein the optical dataset depicts a visual traffic indicator comprising a speed limit sign;
extracting speed limit data from the optical data of the speed limit sign; and
validating the inferred traffic rule based on the speed limit data.

10. The method of claim 8 , wherein the vehicle is traveling along a roadway, and wherein the inferred traffic rule is inferred, at the remote computing system, from historical average speeds of vehicles along the same roadway on which the vehicle is traveling.

11. The method of claim 7 , wherein the traffic compliance parameter indicates that the vehicle motion characteristic is noncompliant with the inferred traffic rule, and wherein the traffic-related action comprises generating a notification indicative of noncompliance and a corrective driver action, and providing the notification to the user at the mobile computing device.

12. The method of claim 7 , further comprising receiving weather data from the remote computing system, and determining the traffic compliance parameter based on the comparison in combination with the weather data.

13. The method of claim 7 , further comprising determining an average vehicle speed corresponding to a set of vehicles proximal the vehicle location, and determining the traffic compliance parameter based on a combination of the comparison between the inferred traffic rule and the vehicle motion characteristic and a comparison between the average vehicle speed and the vehicle motion characteristic.

14. The method of claim 7 , wherein the inferred traffic rule defines a prohibition against executing a first traffic maneuver at the vehicle location, wherein determining the vehicle motion characteristic comprises determining a second traffic maneuver executed by the vehicle during the driving session at the vehicle location, and wherein determining the traffic compliance parameter is based on a comparison between the first traffic maneuver and the second traffic maneuver.

15. The method of claim 14 , further comprising determining a time of day corresponding to the second traffic maneuver, wherein the inferred traffic rule defines a prohibition against executing the first traffic maneuver at the vehicle location between a first time of day and a second time of day, and wherein determining the traffic compliance parameter is based on determining that the time of day is between the first time of day and the second time of day.

16. The method of claim 7 , further comprising validating the inferred traffic rule retrieved from the traffic rule map based on the vehicle motion characteristic.

17. The method of claim 16 , further comprising updating the inferred traffic rule in response to validating the inferred traffic rule to generate an updated traffic rule, and stor

Assignees

• Zendrive Inc

Inventors

• Matus Jonathan
• Risbood Pankaj

Classifications

• G06V20/584

  of vehicle lights or traffic lights · CPC title

• G06V20/56

  exterior to a vehicle by using sensors mounted on the vehicle · CPC title

• H04W4/027

  using movement velocity, acceleration information · CPC title

• G08G1/096741

  where the source of the transmitted information selects which information to transmit to each vehicle · CPC title

• G08G1/0967

  Systems involving transmission of highway information, e.g. weather, speed limits (transmission of navigation instructions to the vehicle G08G1/0968) · CPC title