Traffic event recording and recreation

Patent metadata

Field	Value
Publication number	US-11276256-B2
Application number	US-201615247845-A
Country	US
Kind code	B2
Filing date	Aug 25, 2016
Priority date	Aug 25, 2016
Publication date	Mar 15, 2022
Grant date	Mar 15, 2022

Abstract

A system for identifying and reporting traffic events is presented. Position and motion data from two or more vehicles are uploaded to a data center. The system identifies an accident between first and second vehicles by correlating the motion and position information of the first vehicle with the motion and position information of the second vehicle.

First claim

What is claimed is:

1. A method comprising:
receiving, at a cloud-based datacenter, position and motion information from a plurality of vehicles, the position and motion information captured by sensors implemented at the plurality of vehicles;
determining, based on position and motion information received from a first vehicle from the plurality of vehicles, a first collision metric indicating a probability that the first vehicle was involved in a collision at a first time and at a first geographic location;
determining, based on position and motion information received from a second vehicle from the plurality of vehicles, a second collision metric indicating a probability that the second vehicle was involved in a collision at a second time and at a second geographic location;
determining that an accident occurred involving the first vehicle and the second vehicle of the plurality of vehicles, wherein determining that the accident occurred comprises:
determining that the first collision metric meets or exceed a threshold collision value;
determining that the second collision metric meets or exceeds the threshold collision value;
determining that the first time is within a threshold range of the second time; and
determining that the first geographic location is within a threshold distance of the second geographic location;

confirming occurrence of the accident based on data received from an additional source in a vicinity of the first vehicle and the second vehicle, the additional source being separate from the first vehicle and the second vehicle; and
generating an alert based on confirming the occurrence of the accident.

2. The method of claim 1 , wherein the motion information of a vehicle comprises speed-based meter readings from the vehicle.

3. The method of claim 1 further comprising computing a collision metric for each other vehicle from the plurality of vehicles based on the position and motion information.

4. The method of claim 3 , wherein the collision metric of at least one other vehicle is based on a heading and an acceleration of the at least one other vehicle.

5. The method of claim 3 , wherein the collision metric of at least one other vehicle is a probability of collision based on the at least one other vehicle's spatial and temporal relationship with other vehicles.

6. The method of claim 1 , wherein determining the first collision metric comprises:
determining whether an airbag deployment report was received from the first vehicle.

7. The method of claim 1 , wherein the alert includes data identifying a location of the accident.

8. The method of claim 1 , further comprising:
receiving a set of identity information for the first vehicle and the second vehicle, wherein generating the alert comprises identifying services based on the set of identity information received from the first vehicle and the second vehicle.

9. The method of claim 1 , wherein the alert includes data identifying a location and a time of the accident.

10. The method of claim 1 , further comprising:
receiving a video recording from at least one of the first vehicle and the second vehicle.

11. A cloud-based datacenter comprising:
one or more computer processors; and
one or more computer-readable mediums storing instructions that, when executed by the one or more computer processors, cause the cloud-based datacenter to perform operations comprising:
receiving position and motion information from a plurality of vehicles, the position and motion information captured by sensors implemented at the plurality of vehicles;
determining, based on position and motion information received from a first vehicle from the plurality of vehicles, a first collision metric indicating a probability that the first vehicle was involved in a collision at a first time and at a first geographic location;
determining based on position and motion information received from a second vehicle from the plurality of vehicles, a second collision metric indicating a probability that the second vehicle was involved in a collision at a second time and at a second geographic location;
determining that an accident occurred involving the first vehicle and the second vehicle of the plurality of vehicles, wherein determining that the accident occurred comprises:
determining that the first collision metric meets or exceed a threshold collision value;
determining that the second collision metric meets or exceeds the threshold collision value;
determining that the first time is within a threshold range of the second time; and
determining that the first geographic location is within a threshold distance of the second geographic location;

confirming occurrence of the accident based on data received from an additional source in a vicinity of the first vehicle and the second vehicle, the additional source being separate from the first vehicle and the second vehicle; and
generating an alert based on confirming the occurrence of the accident.

12. The cloud-based datacenter of claim 11 , wherein the motion information of a vehicle comprises speed-based meter readings from the vehicle.

13. The cloud-based datacenter of claim 11 , the operations further comprising:
computing a collision metric for each other vehicle from the plurality of vehicles based on the position and motion information.

14. The cloud-based datacenter of claim 13 , wherein the collision metric of at least one other vehicle is based on a heading and an acceleration of the at least one other vehicle.

15. The cloud-based datacenter of claim 13 , wherein the collision metric of at least one other vehicle is a probability of collision based on the at least one other vehicle's spatial and temporal relationship with other vehicles.

16. The cloud-based datacenter of claim 11 , wherein determining the first collision metric comprises:
determining whether an airbag deployment report was received from the first vehicle.

17. The cloud-based datacenter of claim 11 , wherein the alert includes data identifying a location of the accident.

18. The cloud-based datacenter of claim 11 , the operations further comprising:
receiving a set of identity information for the first vehicle and the second vehicle, wherein generating the alert comprises identifying services based on the set of identity information received from the first vehicle and the second vehicle.

19. The cloud-based datacenter of claim 11 , wherein the alert includes data identifying a location and a time of the accident.

20. The cloud-based datacenter of claim 11 , the operations further comprising:
receiving a video recording from at least one of the first vehicle and the second vehicle.

21. A non-transitory computer-readable medium storing instructions that, when executed by the one or more computer processors of a cloud-based datacenter, cause the cloud-based datacenter to perform operations comprising:
receiving position and motion information from a plurality of vehicles, the position and motion information captured by sensors implemented at the plurality of vehicles;
determining, based on position and motion information received from a first vehicle from the plurality of vehicles, a first collision metric indicating a probability that the first vehicle was involved in a collision at a first time and at a first geographic location;
determining, based on position and motion information received from a second vehicle from the plurality of vehicles, a second collision metric indicating a probability th

Assignees

• Airbnb Inc

Inventors

• Chainer Timothy J
• Mcvicker Gerard
• Parida Pritish R

Classifications

• G07C5/0841 Primary

  Registering performance data (recording measured values G01D; information storage G11B) · CPC title

• G07C5/008

  communicating information to a remotely located station (transmission systems for measured values G08C) · CPC title

• H04W4/40

  for vehicles, e.g. vehicle-to-pedestrians [V2P] · CPC title

• H04L67/12

  specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks · CPC title

• H04W4/023

  using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds · CPC title