Pre-collision assessment of potential collision severity for road vehicles
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G05D-001/00
G06F-007/00
출원번호
US-0204343
(2011-08-05)
등록번호
US-8321092
(2012-11-27)
발명자
/ 주소
Browne, Alan L
Wood, Francis D
Altan, Osman D
출원인 / 주소
GM Global Technology Operations LLC
대리인 / 주소
Cantor Colburn LLP
인용정보
피인용 횟수 :
9인용 특허 :
34
초록▼
A method of predicting severity of a potential collision of first and second vehicles. The method includes determining that a probability of a potential collision of the vehicles is greater than a threshold value. Vehicle condition-defining signals are exchanged between the vehicles when the probabi
A method of predicting severity of a potential collision of first and second vehicles. The method includes determining that a probability of a potential collision of the vehicles is greater than a threshold value. Vehicle condition-defining signals are exchanged between the vehicles when the probability of the potential collision is greater than the threshold value including a first vehicle condition-defining signal developed on board the first vehicle and a second vehicle condition-defining signal developed onboard the second vehicle. The method further includes predicting onboard the first vehicle a severity of the potential collision for the first vehicle based upon input that includes the first vehicle condition-defining signal and the second vehicle condition-defining signal. A severity of the potential collision for the second vehicle is predicted onboard the second vehicle based upon the second vehicle condition-defining signal and the first vehicle condition-defining signal.
대표청구항▼
1. A method of predicting severity of a potential collision of first and second vehicles using a computer processor, the method comprising: determining a probability of the potential collision of the vehicles, wherein input to the determining includes a rate of change of an estimated percentage chan
1. A method of predicting severity of a potential collision of first and second vehicles using a computer processor, the method comprising: determining a probability of the potential collision of the vehicles, wherein input to the determining includes a rate of change of an estimated percentage chance of the potential collision occurring;exchanging vehicle condition-defining signals between the first and second vehicles when the probability of the potential collision is greater than a threshold value, the vehicle condition-defining signals including a first vehicle condition-defining signal developed onboard the first vehicle and a second vehicle condition-defining signal developed onboard the second vehicle;predicting onboard the first vehicle a severity of the potential collision for the first vehicle based on input including the first vehicle condition-defining signal and the second vehicle condition-defining signal;predicting onboard the second vehicle a severity of the potential collision for the second vehicle based on input including the first vehicle condition-defining signal and the second vehicle condition-defining signal; andtransmitting a command to an occupant protection device comprising an airbag, seat belt extendible bumper, retractable bumper or knee bolster, or a combination thereof, on at least one of the first vehicle or the second vehicle, the command responsive to the probability of the potential collision. 2. The method of claim 1 wherein input to the determining includes pre-collision sensor data collected by one or more pre-collision sensors. 3. The method of claim 2 wherein the pre-collision sensor data includes closing speed, range and position. 4. The method of claim 2 wherein the pre-collision sensor data includes one or more of closing speed, range, position, and angle of approach. 5. The method of claim 2 wherein at least one of the pre-collision sensors provides a three hundred and sixty degree view around at least one of the first vehicle and the second vehicle. 6. The method claim 2 wherein the pre-collision sensors collect pre-collision sensor data by utilizing one or more of ultra wide-band radar, pulsed radar, continuous wave radar, near radar, far radar, near and far infrared, vision and image processing, short range sensors, mid range sensors, and long range sensors. 7. The method of claim 1 wherein input to the determining includes an estimated percentage chance of the potential collision occurring. 8. The method of claim 1 wherein input to the determining includes an estimated percentage chance of the potential collision occurring and a rate of change of the estimated percentage chance of the potential collision occurring. 9. The method of claim 1 wherein the vehicle condition-defining signals are developed in response to one or more of vehicle geographic position data, vehicle onboard sensor data, stored vehicle identification data, and pre-collision sensor data. 10. A method of predicting severity of a potential collision of first and second vehicles using a computer processor, the method comprising: determining a probability of the potential collision of the vehicles;exchanging vehicle condition-defining signals between the first and second vehicles when the probability of the potential collision is greater than a threshold value, the vehicle condition-defining signals including a first vehicle condition-defining signal developed onboard the first vehicle and a second vehicle condition-defining signal developed onboard the second vehicle; wherein the vehicle condition-defining signals are developed in response to stored vehicle identification data comprising one or more of front bumper height, vehicle height, height of the vehicle center of gravity, frame height, and the load distribution that the vehicle would create on the face of a rigid barrier in a frontal impact, wherein the load distribution is determined based on a simulation or actually measured in a crash test;predicting onboard the first vehicle a severity of the potential collision for the first vehicle based on input including the first vehicle condition-defining signal and the second vehicle condition-defining signal;predicting onboard the second vehicle a severity of the potential collision for the second vehicle based on input including the first vehicle condition-defining signal and the second vehicle condition-defining signal; andtransmitting a command to an occupant protection device, the command responsive to the probability of the potential collision. 11. A method of predicting severity of a potential collision of first and second vehicles using a computer processor, the method comprising: determining a probability of the potential collision of the vehicles;exchanging vehicle condition-defining signals between the first and second vehicles when the probability of the potential collision is greater than a threshold value, the vehicle condition-defining signals including a first vehicle condition-defining signal developed onboard the first vehicle and a second vehicle condition-defining signal developed onboard the second vehicle; wherein the vehicle condition-defining signals are developed in response to stored vehicle identification data comprising one or more of rear bumper height, vehicle height, height of the vehicle center of gravity, frame height, and the load distribution that the vehicle would create on the face of a rigid barrier in a rear impact, wherein the load distribution is determined based on a simulation or actually measured in a crash test;predicting onboard the first vehicle a severity of the potential collision for the first vehicle based on input including the first vehicle condition-defining signal and the second vehicle condition-defining signal;predicting onboard the second vehicle a severity of the potential collision for the second vehicle based on input including the first vehicle condition-defining signal and the second vehicle condition-defining signal; andtransmitting a command to an occupant protection device, the command responsive to the probability of the potential collision. 12. A method of predicting severity of a potential collision of first and second vehicles using a computer processor, the method comprising: determining a probability of the potential collision of the vehicles;exchanging vehicle condition-defining signals between the first and second vehicles when the probability of the potential collision is greater than a threshold value, the vehicle condition-defining signals including a first vehicle condition-defining signal developed onboard the first vehicle and a second vehicle condition-defining signal developed onboard the second vehicle; wherein the vehicle condition-defining signals are developed in response to stored vehicle identification data comprising one or more of rocker height, door beam height, and lateral stiffness of the vehicle corresponding to an estimated bumper location of a striking vehicle, wherein the lateral stiffness is obtained through a simulation or actually measured in a crash test;predicting onboard the first vehicle a severity of the potential collision for the first vehicle based on input including the first vehicle condition-defining signal and the second vehicle condition-defining signal;predicting onboard the second vehicle a severity of the potential collision for the second vehicle based on input including the first vehicle condition-defining signal and the second vehicle condition-defining signal; andtransmitting a command to an occupant protection device, the command responsive to the probability of the potential collision. 13. A method of predicting severity of a potential collision of first and second vehicles using a computer processor, the method comprising: determining a probability of the potential collision of the vehicles;exchanging vehicle condition-defining signals between the first and second vehicles when the probability of the potential collision is greater than a threshold value, the vehicle condition-defining signals including a first vehicle condition-defining signal developed onboard the first vehicle and a second vehicle condition-defining signal developed onboard the second vehicle; wherein the vehicle condition-defining signals are developed in response to vehicle onboard sensor data comprising one or more of tire inflation pressure, tire wear state, road friction, anti-lock brake system operation, vehicle stability enhancement system operation, braking pressure, amount of vehicle pitch and roll, amount of vehicle yaw, environmental data, engine status, and engine operation data;predicting onboard the first vehicle a severity of the potential collision for the first vehicle based on input including the first vehicle condition-defining signal and the second vehicle condition-defining signal;predicting onboard the second vehicle a severity of the potential collision for the second vehicle based on input including the first vehicle condition-defining signal and the second vehicle condition-defining signal; andtransmitting a command to an occupant protection device the command responsive to the probability of the potential collision. 14. A method of predicting severity of a potential collision of first and second vehicles using a computer processor, the method comprising: determining a probability of the potential collision of the vehicles;exchanging vehicle condition-defining signals between the first and second vehicles when the probability of the potential collision is greater than a threshold value the vehicle condition-defining signals including a first vehicle condition-defining signal developed onboard the first vehicle and a second vehicle condition-defining signal developed onboard the second vehicle; wherein the vehicle condition-defining signals are developed in response to vehicle onboard sensor data comprising one or more of a number of occupants, a number of belted occupants, a mass of occupants, and a loaded mass of vehicle;predicting onboard the first vehicle a severity of the potential collision for the first vehicle based on input including the first vehicle condition-defining signal and the second vehicle condition-defining signal;predicting onboard the second vehicle a severity of the potential collision for the second vehicle based on input including the first vehicle condition-defining signal and the second vehicle condition-defining signal; andtransmitting a command to an occupant protection device, the command responsive to the probability of the potential collision. 15. The method of claim 1 further comprising: transmitting a command to set a control on an occupant protection device on the first vehicle when the probability of the potential collision is greater than the threshold value, said command responsive to the severity of the potential collision for the first vehicle; andtransmitting a command to set a control on an occupant protection device on the second vehicle when the probability of the potential collision is greater than the threshold value, said command responsive to the severity of the potential collision for the second vehicle. 16. The method of claim 1 further comprising transmitting a command to deploy an occupant protection device on the first vehicle when the probability of the potential collision is greater than the threshold value, the command responsive to the severity of the potential collision for the first vehicle. 17. A method of predicting severity of a potential collision of first and second vehicles using a computer processor, the method comprising: determining a probability of the potential collision of the vehicles;exchanging vehicle condition-defining signals between the first and second vehicles when the probability of the potential collision is greater than a threshold value, the vehicle condition-defining signals including a first vehicle condition-defining signal developed onboard the first vehicle and a second vehicle condition-defining signal developed onboard the second vehicle;predicting onboard the first vehicle a severity of the potential collision for the first vehicle based on input including the first vehicle condition-defining signal and the second vehicle condition-defining signal;predicting onboard the second vehicle a severity of the potential collision for the second vehicle based on input including the first vehicle condition-defining signal and the second vehicle condition-defining signal; andtransmitting a command to an occupant protection device on the first vehicle when the probability of the potential collision is greater than the threshold value the command responsive to the probability of the potential collision, the command further responsive to one or more of driver position, driver size, driver weight, and driver seat belt buckle status. 18. A method of predicting severity of a potential collision of first and second vehicles using a computer processor, the method comprising: determining a probability of the potential collision of the vehicles;exchanging vehicle condition-defining signals between the first and second vehicles when the probability of the potential collision is greater than a threshold value the vehicle condition-defining signals including a first vehicle condition-defining signal developed onboard the first vehicle and a second vehicle condition-defining signal developed onboard the second vehicle;predicting onboard the first vehicle a severity of the potential collision for the first vehicle based on input including the first vehicle condition-defining signal and the second vehicle condition-defining signal;predicting onboard the second vehicle a severity of the potential collision for the second vehicle based on input including the first vehicle condition-defining signal and the second vehicle condition-defining signal; andtransmitting a command to an occupant protection device on the first vehicle when the probability of the potential collision is greater than the threshold value the command responsive to the probability of the potential collision, the command further responsive to one or more of passenger position, passenger size, passenger weight, and passenger seat belt buckle status. 19. The method of claim 1 further comprising: transmitting a command to deploy an occupant protection device on the first vehicle when the probability of the potential collision is greater than the threshold value, said command responsive to the severity of the potential collision for the first vehicle; andtransmitting a command to deploy an occupant protection device on the second vehicle when the probability of the potential collision is greater than the threshold value, said command responsive to the severity of the potential collision for the second vehicle.
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