System and method for managing dangerous driving index for vehicle

• US 9,623,874 B2
• Filed: 06/10/2015
• Issued: 04/18/2017
• Est. Priority Date: 06/13/2014
• Status: Active Grant

• Current Assignee: Hyundai Mobis Co., Ltd.
• Original Assignee: Hyundai Mobis Co., Ltd.
• Inventors: Baek, Seung Heon, Lee, Jun Han
• Primary Examiner(s): Smith, Jelani
• Assistant Examiner(s): Martinez Borrero, Luis A
• Application Number:
  US14/735,528
• Publication Number:
  US 20150360697A1
• Time in Patent Office: 678 Days
• Field of Search: 701 23, 701 1, 701 291, 701 72, 701 93, 701400, 701 26, 701 25, 701 2, 701117, 701 36, 701 96, 701 41, 701 70, 701 45, 701533, 701 11, 701120, 701123
• CPC Class Codes: B60W 2050/0075 Automatic parameter input, automatic initialising or calibrating means
• CPC Class Codes: B60W 2420/403 Image sensing, e.g. optical camera
• CPC Class Codes: B60W 2420/408 Radar; Laser, e.g. lidar
• CPC Class Codes: B60W 2420/54 Audio sensitive means, e.g. ultrasound
• CPC Class Codes: B60W 2520/10 Longitudinal speed
• CPC Class Codes: B60W 2520/14 Yaw
• CPC Class Codes: B60W 2540/18 Steering angle
• CPC Class Codes: B60W 2554/00 Input parameters relating to objects
• CPC Class Codes: B60W 2554/801 Lateral distance
• CPC Class Codes: B60W 2556/45 External transmission of data to or from the vehicle
• CPC Class Codes: B60W 40/09 Driving style or behaviour

Abstract

Provided are a system and method for managing dangerous driving index for vehicle. The system includes a driver'"'"'s vehicle driving trajectory generator configured to generate a driver'"'"'s vehicle driving trajectory, based on driver'"'"'s vehicle driving information input from an internal sensor which senses a driving situation of the driver'"'"'s vehicle, a peripheral vehicle trajectory generator configured to generate a peripheral vehicle trajectory, based on ambient environment information input from an external sensor which senses the driving situation of the driver'"'"'s vehicle, a trajectory load calculator configured to calculate a trajectory load representing a comparison result which is obtained by comparing a predetermined threshold value with a trajectory distance which is a difference between the peripheral vehicle trajectory and the driver'"'"'s vehicle driving trajectory, and a dangerous index manager configured to generate a dangerous driving index corresponding to the calculated trajectory load.

Claims

1. An apparatus for controlling a vehicle, the apparatus comprising:

a first trajectory generator configured to generate a trajectory of a first vehicle based on first vehicle driving information input from a first sensor, the first sensor being configured to sense a driving situation of the first vehicle;

a second trajectory generator configured to generate a trajectory of a second vehicle of peripheral vehicles based on ambient environment information input from a second sensor configured to sense the driving situation of the first vehicle;

a trajectory load calculator configured to calculate a trajectory load based on a comparison of a trajectory distance with a first value, wherein the trajectory distance is a difference between the trajectory of the second vehicle and the trajectory of the first vehicle;

a dangerous index manager configured to generate the dangerous driving index, the dangerous driving index corresponding to the calculated trajectory load; and

a vehicle controller configured to receive the dangerous driving index from the trajectory load calculator, and to control at least one of an engine operation, a braking operation, or a steering operation, in response to the dangerous driving index being higher than a second value.

2. The apparatus of claim 1, further comprising a peripheral vehicle load calculator configured to calculate a peripheral vehicle load based on a number of the peripheral vehicles and lane changing information of the peripheral vehicles.

3. The apparatus of claim 2, wherein the peripheral vehicle load calculator is further configured to divide dangerous sections with respect to the first vehicle based on a time to collision (TTC), and to calculates the peripheral vehicle load based on a number of peripheral vehicles in each of the divided plurality of dangerous sections and the lane changing information.

4. The apparatus of claim 2, wherein the dangerous driving index corresponds to a value obtained by considering the trajectory load and the peripheral vehicle load.

5. The apparatus of claim 1, further comprising a road load calculator configured to calculate a road load based on the at least one of a road shape, a road surface status, or a traffic status.

6. The apparatus of claim 5, wherein the dangerous driving index is based on the trajectory load and the road load.

7. The apparatus of claim 1, further comprising:

a peripheral vehicle load calculator configured to calculate a peripheral vehicle load based on a number of the peripheral vehicles and lane changing information of the peripheral vehicles; and

a road load calculator configured to calculate a road load based on the at least one of a road shape, a road surface status, or a traffic status,

wherein the dangerous driving index is based on the peripheral vehicle load and the road load.

13. The apparatus of claim 1, wherein the ambient environment information is generated by a detection section generator configured to detect an optimized section and to recognize an ambient environment in the optimized detection section.

14. The apparatus of claim 13, wherein the section generator further comprises a target tracer configured to distinguish an obstacle based on a detection signal of the obstacle and to generate a track comprising a covariance of an error of the obstacle and a position estimation value of the obstacle.

15. The apparatus of claim 13, wherein the optimized section is based on a probability value at or below a threshold in a Gaussian probability distribution having a residual covariance as a variance, wherein the probability value is a gate probability optimized by a time based Kalman filter.

8. A method for controlling a vehicle, the method comprising:

generating a trajectory of a first vehicle based on driving information of a first vehicle input from a first sensor, the first sensor being configured to sense a driving situation of the first vehicle;

generating a trajectory of a second vehicle of peripheral vehicles based on ambient environment information input from a second sensor configured to sense the driving situation of the first vehicle;

calculating a trajectory load based on a comparison result of a trajectory distance and a first value, wherein the trajectory distance is a difference between the trajectory of the second vehicle and the trajectory of the first vehicle;

generating a dangerous driving index corresponding to the calculated trajectory load; and

controlling at least one of an engine operation, a braking operation, or a steering operation, in response to the dangerous driving index being higher than a second value.

9. The method of claim 8, further comprising calculating a peripheral vehicle load, based on a number of peripheral vehicles and lane changing information of the peripheral vehicles.

10. The method of claim 9, wherein the calculating of the peripheral vehicle load peripheral comprises:

dividing a plurality of dangerous sections with respect to the first vehicle, based on a time to collision (TTC); and

calculating the peripheral vehicle load, based on a number of peripheral vehicles in each of the divided plurality of dangerous sections and the lane changing information.

11. The method of claim 8, further comprising calculating a road load based on the at least one of a road shape, a road surface status, or a traffic status.

12. The method of claim 11, wherein the dangerous driving index is based on the trajectory load and the road load.

16. The apparatus of claim 8, wherein the controlling of the at least one of the engine operation, the braking operation, or the steering operation restricts a driving function of the first vehicle.