Crowdsourced vehicle history

• US 10,431,089 B1
• Filed: 11/17/2017
• Issued: 10/01/2019
• Est. Priority Date: 11/17/2017
• Status: Active Grant

• Current Assignee: Lytx, Inc.
• Original Assignee: Lytx, Inc.
• Inventors: Nguyen, Vincent
• Primary Examiner(s): Paige, Tyler D
• Application Number:
  US15/816,803
• Time in Patent Office: 683 Days
• Field of Search: 701117
• CPC Class Codes: B60Q 9/00 Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00 , e.g. haptic signalling
• CPC Class Codes: B60Q 9/008 for anti-collision purposes
• CPC Class Codes: B60W 2050/143 Alarm means
• CPC Class Codes: B60W 2050/146 Display means
• CPC Class Codes: B60W 2420/408 Radar; Laser, e.g. lidar
• CPC Class Codes: B60W 2540/30 Driving style
• CPC Class Codes: B60W 2554/4046 Behavior, e.g. aggressive or erratic
• CPC Class Codes: B60W 2556/00 Input parameters relating to data
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 2556/45 External transmission of data to or from the vehicle
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: B60W 50/14 Means for informing the driver, warning the driver or prompting a driver intervention
• CPC Class Codes: G05D 1/0061 for transition from automatic pilot to manual pilot and vice versa
• CPC Class Codes: G06F 16/90335 Query processing
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/02 Registering or indicating driving, working, idle, or waiting time only apparatus forming part of taximeters G07B13/00
• CPC Class Codes: G07C 5/085 using electronic data carriers
• CPC Class Codes: G08G 1/161 Decentralised systems, e.g. inter-vehicle communication
• CPC Class Codes: G08G 1/166 for active traffic, e.g. moving vehicles, pedestrians, bikes
• CPC Class Codes: G08G 1/167 : Driving aids for lane monitoring, lane changing, e.g. blind spot detection

Abstract

A system for interacting with data of a vehicle history database includes an interface and a processor. The interface is configured to receive sensor data associated with one or more nearby vehicles. The processor is configured to determine vehicle data associated with the one or more nearby vehicles based at least in part on the sensor data; provide the vehicle data to a vehicle history database; receive vehicle history data associated with the one or more nearby vehicles from the vehicle history database; and indicate a feedback action based at least in part on the vehicle history data.

Claims

1. A system for interacting with data of a vehicle history database, comprising:

an interface configured to receive sensor data associated with one or more nearby vehicles; and

a processor configured to;

determine vehicle data associated with the one or more nearby vehicles based at least in part on the sensor data;

determine anomalous event data based at least in part on the sensor data, wherein the anomalous event data comprises data indicating a vehicle tailgating, data indicating a vehicle running a red light, data indicating a vehicle changing lanes without signaling, data indicating a vehicle causing an accident, data indicating a vehicle speeding, data indicating a vehicle hard cornering, data indicating a vehicle abruptly braking, data indicating a vehicle cutting off other vehicles, data indicating a vehicle at an unusual location, or data indicating a vehicle weaving;

determine driver quality data based at least in part on the sensor data;

provide the vehicle data, the driver quality data, and the anomalous event data to a vehicle history database;

receive vehicle history data associated with the one or more nearby vehicles from the vehicle history database; and

indicate a feedback action based at least in part on the vehicle history data, wherein the feedback action comprises providing an audio indication of a dangerous vehicle, indicating a dangerous vehicle on a display, putting a vehicle into a safe driving mode, adjusting an automatic driving control parameter, or any combination thereof.

2. The system of claim 1, wherein the driver quality data comprises a very dangerous driver indication, a slightly dangerous driver indication, a neutral driver indication, an above average driver indication, a very safe driver indication, or an autonomous driver indication.

3. The system of claim 1, wherein the vehicle history data comprises previously observed anomalous event data.

4. The system of claim 1, wherein the vehicle history data comprises an indication of a vehicle likely to drive recklessly, a vehicle likely to tailgate, a vehicle likely to speed, a vehicle likely to change lanes without signaling, or a vehicle likely to cause an accident.

5. The system of claim 1, wherein the vehicle history data comprises an indication of an autonomous vehicle.

6. The system of claim 1, wherein the sensor data comprises video data from a video camera, video data from multiple video cameras, audio data, radar data, or lidar data.

7. The system of claim 1, wherein the vehicle data comprises the sensor data.

8. The system of claim 1, wherein the vehicle data comprises vehicle identification data based at least in part on the sensor data.

9. The system of claim 8, wherein the vehicle identification data comprises vehicle make data, vehicle model data, vehicle color data, license plate data, vehicle damage data, vehicle decoration data, vehicle option data, or vehicle modification data.

10. The system of claim 1, wherein the vehicle history database comprises data received from a plurality of observation vehicles.

11. The system of claim 1, wherein the vehicle history database comprises data received from vehicles associated with a plurality of participating organizations.

12. The system of claim 1, wherein the processor is further configured to receive data collection information, wherein the data collection information indicates a frequency of data collection, a type of data to collect, a location for data collection, or one or more vehicles for data collection.

13. A method for interacting with data of a vehicle history database, comprising:

receiving sensor data associated with one or more nearby vehicles;

determining, using a processor, vehicle data with the one or more nearby vehicles based at least in part on the sensor data;

determining anomalous event data based at least in part on the sensor data, wherein the anomalous event data comprises data indicating a vehicle tailgating, data indicating a vehicle running a red light, data indicating a vehicle changing lanes without signaling, data indicating a vehicle causing an accident, data indicating a vehicle speeding, data indicating a vehicle hard cornering, data indicating a vehicle abruptly braking, data indicating a vehicle cutting off other vehicles, data indicating a vehicle at an unusual location, or data indicating a vehicle weaving;

determining driver quality data based at least in part on the sensor data;

providing the vehicle data, the driver quality data, and the anomalous event data to a vehicle history database;

receiving vehicle history data associated with the one or more nearby vehicles form the vehicle history database; and

indicating a feedback action based at least in part on the vehicle history data, wherein the feedback action comprises providing an audio indication of a dangerous vehicle, indicating a dangerous vehicle on a display, putting a vehicle into a safe driving mode, adjusting an automatic driving control parameter, or any combination thereof.

14. A computer program product for interacting with data of a vehicle history database, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:

receiving sensor data associated with one or more nearby vehicles;

determining vehicle data associated with the one or more nearby vehicles based at least in part on the sensor data;

determining anomalous event data based at least in part on the sensor data, wherein the anomalous event data comprises data indicating a vehicle tailgating, data indicating a vehicle running a red light, data indicating a vehicle changing lanes without signaling, data indicating a vehicle causing an accident, data indicating a vehicle speeding, data indicating a vehicle hard cornering, data indicating a vehicle abruptly braking, data indicating a vehicle cutting off other vehicles, data indicating a vehicle at an unusual location, or data indicating a vehicle weaving;

determining driver quality data based at least in part on the sensor data;

providing vehicle data, the driver quality data, and the anomalous event data to a vehicle history database;

receiving vehicle history data associated with the one or more nearby vehicles from the vehicle history database; and

indicating a feedback action based at least in part on the vehicle history data, wherein the feedback action comprises providing an audio indication of a dangerous vehicle, indicating a dangerous vehicle on a display, putting a vehicle into a safe driving mode, adjusting an automatic driving control parameter, or any combination thereof.