APPARATUS, SYSTEM AND METHOD FOR RISK INDICATOR CALCULATION FOR DRIVING BEHAVIOUR AND FOR RECONSTRUCTING A VEHICLE TRAJECTORY

• US 20140358840A1
• Filed: 01/14/2013
• Published: 12/04/2014
• Est. Priority Date: 01/13/2012
• Status: Abandoned Application

• Current Assignee: Pulse Function F6 Limited
• Original Assignee: Pulse Function F6 Limited
• Inventors: Tadic, Srdjan, Vukajlovic, B Milan
• Application Number:
  US14/371,925
• Publication Number:
  US 20140358840A1
• Time in Patent Office: Days
• US Class Current: 706/52
• CPC Class Codes: B60R 2021/01325 Vertical acceleration
• CPC Class Codes: B60R 2021/01327 Angular velocity or angular acceleration
• CPC Class Codes: B60R 21/0136 responsive to actual contact with an obstacle , e.g. to vehicle deformation, bumper displacement or bumper velocity relative to the vehicle monitoring crash strength in combination with passenger seat detection B60R21/01558
• 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: G01P 15/02 by making use of inertia forces using solid seismic massesG01P15/14 takes precedence
• CPC Class Codes: G01P 15/14 by making use of gyroscopes gyroscopes per se G01C19/00
• CPC Class Codes: G07C 5/0808 Diagnosing performance data testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005
• CPC Class Codes: G07C 5/085 using electronic data carriers

Abstract

A first aspect relates to an apparatus, system and method for calculating a driving behaviour risk indicator for a driver of a vehicle. Said aspect involves obtaining a count of events occurring in each of a plurality of predetermined categories based on inputs from an inertial unit mounted on the vehicle, the inertial unit including a 3D inertial sensor with 3D gyroscope functionality, each event being indicative of at least one of dangerous and aggressive driving; and calculating a driving behaviour risk indicator based on the number of events in each category. According to a second aspect, an apparatus and method for reconstructing a vehicle trajectory is provided. Said aspect includes updating a sensor error model.

Claims

1. An apparatus for calculating a driving behaviour risk indicator for a driver of a vehicle, comprising:

a processing and control unit; and

a memory,

the apparatus being adapted to;

obtain a count of events occurring in each of a plurality of predetermined categories based on inputs from an inertial unit mounted on the vehicle, the inertial unit including a 3D inertial sensor with 3D gyroscope functionality, each event being indicative of at least one of dangerous and aggressive driving; and

calculate a driving behaviour risk indicator based on the number of events in each category.

2. An apparatus according to claim 1, a respective weighting factor being stored in the memory for each category and the apparatus being adapted to calculate the driving behaviour risk indicator by applying the respective weighting factor to the number of events in each category.

3. An apparatus according to claim 1, being adapted to calculate the driving behaviour risk indicator based on the number of events occurring in a predetermined period.

4. An apparatus according to claim 3, being adapted to calculate the driving behaviour risk indicator based on the duration of the predetermined period.

5. An apparatus according to claim 3, being adapted to calculate the driving behaviour risk indicator based on the distance travelled during the predetermined period.

6. An apparatus according to claim 1, being adapted to calculate the driving behaviour risk indicator by:

obtaining the number of events occurring in a predetermined period in each category;

applying a respective weighting factor to the number of events occurring in the predetermined period in each category;

summing the weighted numbers of events in all categories to obtain a cumulative risk for the predetermined period;

determining the distance travelled by the vehicle during the predetermined period; and

dividing the cumulative risk by the distance travelled.

7. An apparatus according to claim 6, being adapted to modify the cumulative risk for the predetermined period based on the duration of the period.

8. An apparatus according to claim 1, being adapted to modify the driving behaviour risk indicator based on environmental data.

9. An apparatus according to claim 8;

the environmental data including at least one of road data, temperature data, ambient weather data and geographical position data.

10. An apparatus according to claim 1, predetermined categories comprising any two or more of harsh cornering, over-steering, and evasive manoeuvring.

11. An apparatus according to claim 1, the apparatus being mountable in a vehicle.

12. An apparatus according to claim 11, comprising the inertial unit.

13. An apparatus according to claim 11, further comprising a transmitter and a receiver for communicating with a remote processing entity.

14. An apparatus according to claim 1,

the apparatus being remote from the vehicle;

the events in each category being detected on the vehicle; and

the apparatus being adapted to obtain the count by receiving from the vehicle at least one of;

data in respect of each event, and

the count of events in each category.

15. An apparatus according to claim 1, the apparatus being:

remote from the vehicle; and

adapted to obtain the count by receiving and processing inputs from an inertial unit mounted on the vehicle.

16. An apparatus according to claim 14, adapted to obtain a count of events, occurring in each of a plurality of predetermined categories, for each of a plurality of different vehicles in a fleet and to determine driving behaviour risk indicator for the fleet.

17. An apparatus according to claim 16, further adapted to compare the driving behaviour risk indicator for a single vehicle with at least one of the driving behaviour risk indicator of the fleet and an alternatively obtained comparative driving behaviour risk indicator.

18. An apparatus according to claim 16, further adapted to compare the driving behaviour risk indicator of the fleet with an alternatively obtained comparative driving behaviour risk indicator.

19. A system comprising a processing entity and a plurality of apparatuses according to claim 11, the processing entity communicating with each of the plurality of apparatuses by means of a long range wireless network.

20. A system comprising a plurality of telematics units mounted on respective vehicles and a remote processing unit, wherein:

the telematics units comprise an inertial sensor unit;

at least one of the remote processing entity and the telematics units is adapted to obtain a count of events occurring in each of a plurality of predetermined categories based on inputs from the inertial sensor unit, each event being indicative of at least one of dangerous and aggressive driving; and

the remote processing entity is adapted to calculate a combined driving behaviour risk indicator for the plurality of telematics units based on the number of events in each category.

21. A system according to claim 20, the inertial sensor unit including a 3D inertial sensor with 3D gyroscope functionality.

22. A system according to claim 20, at least one of the remote processing entity and each telematics unit being adapted to calculate a driving behaviour risk indicator.

23. A method of calculating a driving behaviour risk indicator for a driver of a vehicle, comprising:

detecting events occurring in each of a plurality of predetermined categories based on inputs from an inertial unit mounted on the vehicle, the inertial unit including a 3D inertial sensor with 3D gyroscope functionality, each event being indicative of at least one of dangerous and aggressive driving; and

calculating a driving behaviour risk indicator based on the number of events in each category.

24-37. -37. (canceled)

38. A method of determining a driving behaviour risk indicator for a plurality of vehicles, the method comprising:

detecting events occurring in each of a plurality of predetermined categories based on inputs from an inertial unit mounted on each said vehicle, each event being indicative of at least one of dangerous and aggressive driving; and

calculating a driving behaviour risk indicator for the plurality of vehicles based on the number of events in each category.

39-61. -61. (canceled)