Image analysis – Applications – Personnel identification
Reexamination Certificate
2000-07-21
2004-04-20
Patel, Jayanti K. (Department: 2625)
Image analysis
Applications
Personnel identification
C340S425500, C340S005530, C340S575000, C280S735000, C180S169000, C180S272000, C382S104000
Reexamination Certificate
active
06724920
ABSTRACT:
BACKGROUND OF THE INVENTION
1. Field of the Invention
This invention relates generally to an imaging system in a vehicle for detecting the presence of a person and, more particularly, to an imaging system for use in a vehicle that identifies a human face, and uses this information for vehicle safety purposes.
2. Discussion of the Related Art
The National Highway Traffic Safety Administration requires passenger side airbags on all passenger cars manufactured after 1998. Airbags have saved thousands of lives, but safer airbag deployment systems can save even more lives. Proposals have been submitted by the National Highway Traffic Safety Administration to require advanced airbags that are safer and more efficient. Thus, there is a need in the art for an advanced airbag deployment system that determines airbag deployment depending on the detection, identify and tracking of a person in the passenger seat of the vehicle.
Future airbag deployment systems will be able to identify and track a person in the passenger seat of the vehicle. Based on this information, the system will provide signals whether to fire the airbag, fire the airbag at low velocity or fire the airbag at normal high velocity during a crash event, depending on whether a person is seated in the passenger seat, the size of the person and the position of the person relative to the airbag deployment door. In one example, if a person is detected in the passenger seat, and is some small distance (for example, within three inches) from the airbag door, then the airbag does not fire during a crash event. If a person is detected in the passenger seat, and is close (for example, between three and eight inches) to the airbag door, the airbag is fired at a lower velocity during a crash even. If the person is detected in the passenger seat, and far enough away (for example, more than eight inches) from the airbag door, then the airbag is fired at normal high velocity during a crash event.
Present passenger sensing systems typically include ultrasonic, weight, infrared and/or electromagnetic sensors to detect a passenger for airbag deployment. Ultrasonic sensing systems sense the motion of objects within the passenger seat area and determine whether the object is moving closer or farther away from the sensor location. However, ultrasonic sensors don't identify the nature of the object, and thus can't tell if it is a person or some other object, such as a bag of groceries. Similar to ultrasonic sensors, microwave sensors employed in active doppler radar systems can track objects, but cannot identify human presence. Weight sensors identify objects in the passenger seat based on applied pressure, but don't consider the passenger's location relative to the airbag. Passive IR sensors acquire thermal images of the passenger seat, but these systems are very costly. Present active IR sensors sense the relative location of the passenger relative to the airbag, but cannot identify human presence. Electromagnetic systems include LC resonant circuits where body capacitance is used to detect presence and identify objects, but these systems can not track the objects.
U.S. Pat. No. 5,835,613 issued to Breed et al., Nov. 10, 1998, discloses a vehicle interior monitoring system that claims to identify, locate and monitor persons in the passenger compartment of the vehicle. The monitoring system employs infrared emitters that illuminate the interior of the vehicle, and charge couple device (CCD) arrays that detect the radiation. Outputs from the CCD arrays are analyzed by computational devices that employ pattern recognition algorithms to classify, identify or locate the content or objects in the passenger seat. The pattern recognition system for determining vehicle occupants disclosed in the '613 patent employs complicated software that must learn the shape of an individual in all kinds of lighting situations under various conditions. Additionally, employing pattern recognition in this manner is limited in its ability to track the individual as he or she moves around in the passenger seat. Further, the ability to identify and track humans by general pattern recognition is questionably unreliable. Pattern recognition cannot identify who the person is, only detect an object's shape.
What is needed is an improved airbag deployment sensor and system that is able to effectively identify and track a person in the passenger seat of a vehicle. It is therefore an object of the present invention to provide such a sensing system for vehicle passenger airbag deployment.
SUMMARY OF THE INVENTION
In accordance with the teachings of the present invention, an imaging system for providing vehicle safety features is disclosed that employs face recognition software and algorithms to identify and track a person. The system includes infrared emitters that emit an infrared signal along a predetermined field-of-view, and an infrared sensor, such as a CMOS sensor used as a video signal array, that receives reflected infrared illumination from objects in the field-of-view. A processor, including the face recognition software, is employed to detect human faces. Once a face is detected, it can be compared to a data base to identify the person.
Various applications of the imaging system for providing vehicle safety features include identifying the driver or passenger for personalizing the vehicle's airbags, providing pre-crash collision avoidance, providing blind spot detection, providing vehicle crash recording, and providing a warning signal if the driver appears drowsy.
Additional objects, advantages and features of the present invention will become apparent from the following description and appended claims, taken in conjunction with the accompanying drawings.
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J. Krumm, G. Kirk; “Video Occupant Detection for Air Bag Deployment”, Sandia Commercially Valuable Information, SAND97-0408, Feb. 1997, pps. 1-20.
Pending U.S. Berenz et al. Patent Appln. Serial No. 09/607,090, filed Jun. 29, 2000 entitled Human Presence Detection, Identification and Tracking Using A Facial Feature Image Sensing System For Airbag Deployment, Attorney Dockey No. TRW(TE)6545.
Pending U.S. Berenz et al. Patent Appln. Serial No. 09/621,772, filed Jul. 21, 2000 entitled Application of Human Facial Features Recognition to Automobile Security and Convenience, Attorney Docket No. TRW9TE)6546.
Pending U.S. Berenz et al. Patent Appln. Serial No. 09/607,008, filed Jun. 29, 2000 entitled Optimized Human Presence Detection Through Elimination of Background Interference, Attorney Docket No. TRW(TE)6548.
Berenz John J.
Dunbridge Barry
McIver George W.
Niesen Joseph W.
Shreve Gregory A.
Chawan Sheela
Patel Jayanti K.
Tarolli, Sundheim Covell & Tummino L.L.P.
TRW Inc.
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