IP Library Granted Patent US 11,056,002
Granted Patent B2
US 11,056,002 · App. 15/750,154 · Granted Jul 6, 2021

Method, control unit and system for avoiding collision with vulnerable road users

Inventors: Jonny Andersson (Södertälje, SE); Marie Bemler (Mariefred, SE); Joseph Ah-King (Södertälje, SE); Christian Larsson (Stockholm, SE)
Assignee: Scania CV AB
G08G1/166B60Q1/525B60Q5/006B60Q9/008B60R21/34B60W30/0956B60W40/04B60W50/14G01S13/86G01S13/867G01S13/931G01S15/86G01S15/931G06K9/00805G08G1/0112B60W2420/42B60W2520/10B60W2520/14B60W2540/18B60W2556/50G01S2013/9316G01S2013/9322G01S2013/9323G01S2013/9324
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Quick Facts
Patent No.
US 11,056,002
App. No.
15/750,154
Granted
Jul 6, 2021
Kind
B2
Abstract

Method and control unit, for avoiding a potential collision between the vehicle and a Vulnerable Road User, VRU. The method comprises: predicting a future path of the vehicle; detecting the VRU and the position of the VRU; determining velocity of the detected VRU; predicting a future position of the detected VRU, based on the VRU position upon detection and the determined VRU velocity; and performing an action for avoiding a collision, when the predicted future position of the VRU is overlapping the predicted future path of the vehicle.

Claims (87)

1. A method for use with a vehicle, for avoiding a potential collision between the vehicle and a Vulnerable Road User, VRU, wherein the method comprises:

predicting a future path of the vehicle by:

measuring a velocity of the vehicle;

measuring a steering wheel angle (α sw );

measuring a steering wheel angle rate (α′ sw );

calculating a future steering wheel angle (α sw ), based on the measured steering wheel angle (α sw ) and the measured steering wheel angle rate (α′ sw );

calculating a future yaw rate (ω) of the vehicle based on the measured velocity of the vehicle and the calculated future steering wheel angle (α sw );

extrapolating a vehicle position of the vehicle in a set of future time frames, based on the calculated future yaw rate (ω) and the vehicle velocity; and

predicting the path of the vehicle based on the extrapolated vehicle positions in the set of future time frames;

detecting the VRU and a position of the VRU;

determining a velocity of the detected VRU;

predicting a future position of the detected VRU, based on the VRU position upon detection and the determined VRU velocity;

determining a geographical position of the vehicle;

extracting statistical information related to a probability of a collision at the determined geographical position, wherein the probability of a collision is increased at geographical positions where a number of traffic accidents is exceeding a threshold limit; and

performing an action for avoiding a collision when the predicted future position of the VRU is overlapping the predicted future path of the vehicle and based on the probability of a collision.

2. The method according to claim 1 , wherein the predicted future path of the vehicle corresponds to a first area occupied by the vehicle during a set of future time frames, and wherein the predicted future position of the VRU comprises a second area wherein the VRU is expected to be situated at the set of future time frames, and wherein probability of a collision to occur is proportional to the overlap between the first area and the second area, and wherein the action is performed when the probability of a collision exceeds a first threshold limit.

3. The method according to claim 1 , wherein the action to be performed comprises a silent warning visually or haptically displayed to the driver of the vehicle, an audible warning, a short brake jerk for alerting the driver, a full brake to standstill or an alert for warning the VRU of the collision risk.

4. The method according to claim 3 , wherein the silent warning is visually or haptically displayed to the driver of the vehicle when the probability of a collision exceeds a first threshold limit; the audible warning is emitted when the probability of a collision exceeds a second threshold limit; the short brake jerk is performed when the probability of a collision exceeds a third threshold limit; the full brake to standstill is performed when the probability of a collision exceeds a fourth threshold limit.

5. The method according to claim 1 , wherein the probability of a collision is increased when the VRU is detected and classified as an unattended animal or a person shorter than a configurable threshold length.

6. The method according to claim 1 , further comprising:

detecting a traffic structure related to increased probability of a collision, and wherein the action for avoiding a collision is performed based on the probability of a collision.

7. The method according to claim 1 , wherein the detection of the VRU and the position of the VRU comprises:

detecting an object by a camera of the vehicle;

classifying the detected object as a VRU;

detecting the object by a sensor of the vehicle;

mapping the classified VRU with the object detected by the sensor; and

tracking the VRU by the sensor.

8. The method according to claim 1 further comprising:

extracting statistical information related to traffic accidents at the determined geographical position; and

increasing the probability of a collision at geographical positions where a number of traffic accidents is exceeding the threshold limit.

9. A control unit in a vehicle, for avoiding a potential collision between the vehicle and a Vulnerable Road User VRU, wherein the control unit is configured for:

predicting a future path of the vehicle by:

measuring a velocity of the vehicle;

measuring a steering wheel angle (α sw );

measuring a steering wheel angle rate (α′ sw );

calculating a future steering wheel angle (α sw ), based on the measured steering wheel angle (α sw ) and the measured steering wheel angle rate (α′ sw );

calculating a future yaw rate (ω) of the vehicle based on the measured velocity of the vehicle and the calculated future steering wheel angle (α sw );

extrapolating a vehicle position of the vehicle in a set of future time frames, based on the calculated future yaw rate (ω) and the vehicle velocity; and

predicting the path of the vehicle based on the extrapolated vehicle positions in the set of future time frames;

detecting the VRU and a position of the VRU via a sensor;

determining a velocity of the detected VRU;

predicting a future position of the detected VRU based on the position of the detected VRU and the determined VRU velocity;

determining a geographical position of the vehicle;

extracting statistical information related to a probability of a collision at the determined geographical position, wherein the probability of a collision is increased at geographical positions where a number of traffic accidents is exceeding a threshold limit; and

performing an action for avoiding a collision when the predicted future position of the VRU is overlapping the predicted future path of the vehicle and based on the probability of a collision.

10. The control unit according to claim 9 further configured for:

extracting statistical information related to traffic accidents at the determined geographical position; and

increasing the probability of a collision at geographical positions where a number of traffic accidents is exceeding the threshold limit.

11. A computer program product comprising program code stored on a non-transitory computer-readable medium, said computer program product for avoiding a potential collision between a vehicle and a Vulnerable Road User VRU, said computer program product comprising computer instructions to cause one or more computer processors to perform the following operations:

predicting a future path of the vehicle by:

measuring a velocity of the vehicle;

measuring a steering wheel angle (α sw );

measuring a steering wheel angle rate (α′ sw );

calculating a future steering wheel angle (α sw ), based on the measured steering wheel angle (α sw ) and the measured steering wheel angle rate (α′ sw );

calculating a future yaw rate (ω) of the vehicle based on the measured velocity of the vehicle and the calculated future steering wheel angle (α sw );

extrapolating a vehicle position of the vehicle in a set of future time frames, based on the calculated future yaw rate (ω) and the vehicle velocity; and

predicting the path of the vehicle based on the extrapolated vehicle positions in the set of future time frames;

detecting, using a sensor, the VRU and a position of the VRU;

determining a velocity of the detected VRU;

predicting a future position of the detected VRU, based on the VRU position upon detection and the determined VRU velocity;

determining a geographical position of the vehicle;

extracting statistical information related to a probability of a collision at the determined geographical position, wherein the probability of a collision is increased at geographical positions where a number of traffic accidents is exceeding a threshold limit; and

performing an action for avoiding a collision when the predicted future position of the VRU is overlapping the predicted future path of the vehicle and based on the probability of a collision.

12. The computer program product according to claim 11 further configured for:

extracting statistical information related to traffic accidents at the determined geographical position; and

increasing the probability of a collision at geographical positions where a number of traffic accidents is exceeding the threshold limit.

13. A system for avoiding a potential collision between a vehicle and a Vulnerable Road User VRU, wherein the system comprises:

a sensor on the vehicle, configured for detecting the VRU and the position of the VRU;

a control unit configured for:

predicting a future path of the vehicle by:

measuring a velocity of the vehicle;

measuring a steering wheel angle (α sw );

measuring a steering wheel angle rate (α′ sw );

calculating a future steering wheel angle (α sw ), based on the measured steering wheel angle (α sw ) and the measured steering wheel angle rate (α′ sw );

calculating a future yaw rate (ω) of the vehicle based on the measured velocity of the vehicle and the calculated future steering wheel angle (α sw );

extrapolating a vehicle position of the vehicle in a set of future time frames, based on the calculated future yaw rate (ω) and the vehicle velocity; and

predicting the path of the vehicle based on the extrapolated vehicle positions in the set of future time frames;

detecting the VRU and the position of the VRU via a sensor;

determining a velocity of the detected VRU;

predicting a future position of the detected VRU based on the position of the detected VRU and the determined VRU velocity;

determining a geographical position of the vehicle;

extracting statistical information related to a probability of a collision at the determined geographical position, wherein the probability of a collision is increased at geographical positions where a number of traffic accidents is exceeding a threshold limit; and

performing an action for avoiding a collision when the predicted future position of the VRU is overlapping the predicted future path of the vehicle and based on the probability of a collision; and

a warning emitting device on the vehicle, configured for emitting a warning for avoiding a collision.

14. The system according to claim 13 , wherein in said control unit is further configured for:

extracting statistical information related to traffic accidents at the determined geographical position; and

increasing the probability of a collision at geographical positions where a number of traffic accidents is exceeding the threshold limit.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 15, 2018
From: ANDERSSON, JONNY; AH-KING, JOSEPH; BEMLER, MARIE; LARSSON, CHRISTIAN
To: SCANIA CV AB
Reel/Frame 044942/0235 →
Priority Claims (1)
SE 1551086-0 · Aug 20, 2015 · national
Continuity (1)
Related Publication 20180233048A1 · Aug 16, 2018
Cited By (2)
US 12,332,353 US 12,479,424