Image based occupant classification systems for determining occupant classification and seat belt status and vehicles having same

An image based occupant classification system includes an image sensor and an image processor. The image sensor is configured to capture vehicular occupant information. The image processor is in communication with the image sensor. The image processor is configured to perform first sampling operations upon the vehicular occupant information to determine occupant classification. The image processor is further configured to perform second sampling operations upon the vehicular occupant information to determine a seat belt status. Each of the first sampling operations is conducted at a separate time from each of the second sampling operations. Vehicles are also provided.

TECHNICAL FIELD

An image based occupant classification system (“IBOCS”) can monitor vehicular occupant information to determine an occupant's classification and to determine a status of a seat belt.

BACKGROUND

An IBOCS can monitor an occupant in order to control safety devices on a vehicle. In particular, an IBOCS can assess an occupant's classification (e.g., size, shape, position) and/or an occupant's movement to control deployment of an airbag. Conventionally, seat belt monitoring on a vehicle is provided separately from the IBOCS. For example, a Supplemental Restraint System (“SRS”) can include a seat belt latch monitor that facilitates occupant notification when a seat belt is not being worn. Conducting occupant and seat belt monitoring on a vehicle can thus require the addition of dedicated hardware for each process.

SUMMARY

According to one embodiment, an image based occupant classification system comprises an image sensor and an image processor. The image sensor is configured to capture vehicular occupant information. The image processor is in communication with the image sensor. The image processor is configured to perform first sampling operations upon the vehicular occupant information to determine occupant classification. The image processor is further configured to perform second sampling operations upon the vehicular occupant information to determine a seat belt status. Each of the first sampling operations is conducted at a separate time from each of the second sampling operations.

According to another embodiment, a vehicle comprises a passenger compartment, a seat belt, an image sensor, and an image processor. The seat belt is configured to selectively secure a seated occupant within the passenger compartment. The image sensor is configured to capture vehicular occupant information. The image processor is in communication with the image sensor and is configured to perform first and second sampling operations upon the vehicular occupant information. The image processor is configured to determine occupant classification based upon the first sampling operations. The image processor is further configured to determine a status of the seat belt based upon the second sampling operations. Each of the first sampling operations is performed by the image processor at a separate time from each of the second sampling operations.

According to yet another embodiment, a method comprises capturing vehicular occupant information and performing first sampling operations upon the vehicular occupant information. The method further comprises determining occupant classification from the first sampling operations and performing second sampling operations upon the vehicular occupant information at separate times than the first sampling operations. The method additionally comprises determining seat belt status from the second sampling operations.

DETAILED DESCRIPTION

The present invention and its operation are hereinafter described in detail in connection with the views and examples ofFIGS. 1-6, wherein like numbers indicate the same or corresponding elements throughout the views. An IBOCS in accordance with one embodiment can be provided on a vehicle10which is shown inFIG. 1to comprise an automobile. However, an IBOCS can alternatively be provided upon any of a variety of alternative vehicles, such as, for example, a truck, a van, a recreational vehicle, a utility vehicle, an aircraft, agricultural equipment, or construction equipment. Though the vehicle10is shown inFIGS. 1 and 3to be of a type which includes a passenger compartment12defined in part by pillars and a ceiling and which is accessible through four respective passenger doors, it will be appreciated that vehicles in accordance with other embodiments can include any of a variety of other suitable passenger compartments (e.g., provided within a two-door sedan, pickup truck, or convertible).

As illustrated inFIG. 2, an IBOCS14can include a supplemental restraint system (“SRS”)16. The SRS16can include various safety devices (e.g., seat belt retractors, airbags, crash avoidance systems) that can be actuated during a collision. The SRS16can be configured to monitor vehicular collision conditions. The SRS16is shown inFIG. 2to include side impact sensors18and front impact sensors20. In one embodiment, the side impact sensors18and front impact sensors20can include accelerometers. In such an embodiment, the accelerometers can be disposed along the vehicle to monitor the acceleration encountered during a collision. For example, the side impact sensors18can be disposed along a side of the vehicle10(e.g., within one or more side pillars or doors) such that a collision along a side of the vehicle10can be monitored. Additionally, the front impact sensors20can be disposed along a front of the vehicle10(e.g., within a front bumper) such that a collision along a front of the vehicle10can be monitored. In other embodiments, impact sensors can include an image sensor, a radar unit, or a LIDAR unit. It will be appreciated that an SRS can include any of a variety of additional or alternative arrangements for monitoring vehicular collision conditions. For example, the SRS16can include Gxand Gysensors to monitor vehicular acceleration. It will also be appreciated that, in addition or alternative to monitoring collision conditions that are native to the vehicle, the SRS16can monitor any of a variety of collision conditions external to the vehicle10. For example, the SRS16can include an external sensor, such as a radar headway sensor, to monitor approaching objects, such as vehicles or pedestrians.

The SRS16can analyze the collision conditions to determine whether the vehicle10is experiencing a collision. In one embodiment, as illustrated inFIG. 2, the SRS16can include an SRS processor22which can determine whether the vehicle10is experiencing a collision. As illustrated inFIG. 2, the side and front impact sensors18,20can be in communication with the SRS processor22such that the collision conditions can be transmitted to the SRS processor22. In one embodiment, the side and front impact sensors18,20can transmit collision conditions to the SRS processor22via communication cable (e.g., wire or fiber optic in a drive-by-wire configuration). In another embodiment, the side and front impact sensors18,20can transmit collision conditions to the SRS processor22wirelessly. It will be appreciated that the SRS processor22can include any of a variety of suitable SRS controllers and/or processors to facilitate receipt and analysis of the collision conditions. It will also be appreciated, however, that the SRS processor22can provide additional or alternative functionality to the SRS16. For example, in lieu of, or in addition to, side and/or front impact sensors18,20mounted along the vehicle, as described above, the SRS processor22can include side impact sensors (e.g., Gxsensors), a front impact sensor (e.g., a Gysensor), and/or any of a variety of other collision sensors.

If the SRS16determines that a collision is occurring, various safety devices (e.g., seat belt retractors, airbags, crash avoidance systems) within or associated with the SRS16can be actuated. In one embodiment, as illustrated inFIG. 2, the SRS processor22can be in communication with an airbag controller24. When the SRS processor22determines that a collision is occurring (e.g., from the collision conditions), the SRS processor22can actuate the airbag controller24to facilitate selective deployment of one or more airbags (e.g.,17inFIG. 3) within the vehicle10. In one embodiment, the airbag controller24can include a squib. In such an embodiment, the SRS processor22can transmit an electronic signal to the squib to deploy one or more airbags.

The IBOCS14can include an image sensor26in communication with an image processor28, as illustrated inFIG. 2. The image sensor26can be configured to capture vehicular occupant information from the passenger compartment12and provide the vehicular occupant information to the image processor28(e.g., wirelessly and/or via communication cables). Though the image sensor26and the SRS processor22are shown inFIG. 2to communicate indirectly (e.g., by way of the image processor28), it will be appreciated that an image sensor and an SRS processor can alternatively communicate directly. In one embodiment, the image sensor26can be a charge-coupled-device (CCD) configured to capture infrared or near-infrared images. However, it will be appreciated that the image sensor26can alternatively or additionally comprise a thermographic camera, a CMOS sensor, a radar unit and/or any of a variety of other suitable alternative components or arrangements. The IBOCS14can additionally include an illumination source (not shown) to improve image quality of the captured images.

The image processor28can determine an occupant's classification from the vehicular occupant information. In one embodiment, the image processor28can determine the presence of an occupant within the passenger compartment12. In certain other embodiments, the image processor28can determine the status of an occupant (e.g., adult or child), movement of an occupant, a position of an occupant, and/or any of a variety of other types of suitable alternative occupant classification information. The image processor28can also determine a status of a seat belt (e.g.,29inFIG. 3) from the vehicular occupant information. In one embodiment, the image processor28can analyze images captured from the image sensor26to determine whether a portion of a seat belt is placed across the front of an occupant. In another embodiment, the image processor28can analyze images captured from the image sensor26to determine whether a tongued portion of a seat belt is engaged with an associated buckle. In certain other embodiments, the image processor28can determine whether a seat belt is improperly securing a passenger (e.g., twisted or partially buckled), an amount of seat belt detection during a collision, whether a seat belt malfunction (e.g., fraying, tearing) has occurred, and/or any of a variety of other characteristics involving seat belt status.

Although the image processor28is shown to be in communication with the SRS processor22(e.g., wirelessly or via communication cables), it will be appreciated that an image processor can be provided any of a variety of suitable alternative configurations. For example, in one embodiment, an image processor can be integrated within an SRS processor.

It will be appreciated that the IBOCS14can regulate actuation of the safety devices based upon an occupant's classification. In one embodiment, the IBOCS14can regulate actuation of airbags according to the presence and/or status of an occupant (e.g., adult or child). For example, when a child or child seat occupies a vehicular seat, deployment of airbags can be suppressed. In another example, when a seat is unoccupied, deployment of airbags can be suppressed. In another embodiment, the IBOCS14can dynamically regulate actuation of airbags according to the movement of an occupant. For example, deployment of an airbag can be tailored to best cushion an occupant's movement (e.g., slowed if a passenger is positioned too close to a dashboard, individual portions of the airbag more fully deployed to account for lateral movement of an occupant during a collision). It will be appreciated that the IBOCS14can utilize an occupant's classification in any of a variety of suitable manners.

It will be appreciated that in one embodiment, the IBOCS14can regulate the safety devices in anticipation of a collision. For example, when the vehicle10is started, an occupant can be identified as an adult, child, or child seat. Based upon that identification, deployment of airbags can be placed in a suppressed state (e.g., for a child or child seat) or a permissive state (e.g., for an adult). It will also be appreciated that, in another embodiment, the IBOCS14can regulate the safety devices during a collision. For example, when the vehicle10initially enters into a collision, the IBOCS can assess the presence and/or status of an occupant (e.g., adult or child) and can actuate (or not actuate) safety devices as appropriate based upon that assessment. In yet another example, during a collision, actuation of the safety devices can be controlled based upon the movement of an occupant.

It will be appreciated that the IBOCS14can regulate actuation of the safety devices based upon seat belt status information obtained by the image processor28. In one embodiment, the SRS processor22is configured to selectively inhibit the airbag controller24according to the seat belt status. For example, when the IBOCS14determines from the vehicular occupant information that an occupant in not wearing a seat belt, the SRS processor22can depower the airbag controller24(and/or other components associated with an airbag and/or other safety devices) such that an airbag is not deployed during a collision.

It will be appreciated that the IBOCS14can be configured to indicate the seat belt status. In one embodiment, the IBOCS14can be configured to notify an occupant when a seat belt is not being worn. In such an embodiment, as illustrated inFIG. 2, the SRS16can include a seatbelt reminder indicia30(e.g., Passenger Tattle Tale) in communication with the SRS processor22. When an occupant (e.g.,34inFIG. 3) is not wearing a seat belt (e.g.,29inFIG. 3), the seat belt reminder indicia30can alarm (e.g., visually, audibly) in order to remind the occupant to wear the seat belt. It will be appreciated that the seat belt reminder indicia30can indicate a status of a seat belt in any of a variety of suitable alternative arrangements (e.g., transmit an indicator to a vehicular tracking system to facilitate remote monitoring of a status of a seat belt).

As illustrated inFIG. 3, the image sensor26can be disposed along a pillar32of the vehicle10such that vehicular occupant information can be captured for an occupant34seated in a passenger seat36. However, it will be appreciated that additional or alternative image sensors can be provided in any of a variety of other suitable locations and/or arrangements within or adjacent to the passenger compartment12of the vehicle10. For example, as shown inFIG. 3, an image sensor27can be attached to the ceiling34. In such an embodiment, the image sensors26,27can be separated by a known distance such that a 3-dimensional image can be produced. In yet another example, an image sensor can be provided adjacent to a driver's seat38to capture vehicular occupant information for a driver (not shown) and can, for example, be attached to a dashboard, center console, door panel, or any of a variety of other suitable features within the passenger compartment of a vehicle. In yet another example, an image sensor can be provided adjacent to rear seats of a vehicle to capture vehicular occupant information for passengers seated in these rear seats. It will be appreciated that a vehicle can include image sensors provided in any or all of these locations. It will also be appreciated that the IBOCS can additionally or alternatively include illumination sources provided in any or all of these locations.

The image processor28can be configured to perform first sampling operations upon the vehicular occupant information in order to determine an occupant's classification. In one embodiment, in performing the first sampling operations, the image processor28can be configured to selectively actuate the image sensor26and to analyze the vehicular occupant information captured by the image sensor26. However, it will be appreciated that the first sampling operations can include any of a variety of additional or alternative operations useful in determining occupant classification.

It will be appreciated that the first sampling operations can be triggered by a clock signal that is native to the IBOCS14(e.g., a clock signal generated by the image processor28). In one embodiment, each first sampling operation can be triggered by a change in the clock signal (e.g., a rising edge or a failing edge of the clock signal). It will also be appreciated that the frequency of the first sampling operations can be varied according to the particular occupant classification being determined. When it is desirable to determine vehicular occupant information which is not subject to frequent change (e.g., whether the occupant is an adult or child), the first sampling operations can be triggered less frequently. However, when it is desirable to determine vehicular occupant information which is subject to frequent change (e.g., whether the occupant has moved to a new position), the first sampling operations can be triggered more frequently. For example, if the first sampling operations are intended to detect movement of an occupant, since movement of an occupant can change frequently, the first sampling operations can be triggered frequently (e.g., every 50 milliseconds).

It will be appreciated that any of a variety of first sampling operations can occur as a result of each trigger. For example, in one embodiment, the first sampling operations can alternate between actuating the image sensor26to capture vehicular occupant information and analyzing the captured vehicular occupant information. In such an embodiment, on a first clock cycle, the image sensor26can be actuated to capture vehicular occupant information. On a subsequent clock cycle, the vehicular occupant information captured by the image sensor26(e.g., on a previous clock cycle) can be analyzed to determine occupant classification. In another embodiment, each first sampling operation can actuate the image sensor26to capture vehicular occupant information and can cause the captured vehicular information to be analyzed.

The image processor28can also be configured to perform second sampling operations upon the vehicular occupant information in order to determine an occupant's seat belt status. In one embodiment, in performing the second sampling operations, the image processor28can be configured to selectively actuate the image sensor26and to analyze the vehicular occupant information captured by the image sensor26. It will be appreciated that the second sampling operations can include any of a variety of additional or alternative operations useful in determining seat belt status.

It will be appreciated that, similar to the first sampling operations, the second sampling operations can be triggered by a clock signal (e.g., each second sampling operation can be triggered by a rising edge or a falling edge of a clock signal). It will also be appreciated that the frequency of the second sampling operations can be varied according to the particular seat belt status being determined. When it is desirable to determine vehicular occupant information which is not subject to frequent change (e.g., whether an occupant is wearing a seat belt), the second sampling operations can be triggered less frequently. However, when it is desirable to determine vehicular occupant information which is subject to frequent change (e.g., whether the a change in seat belt deflection), the second sampling operations can be triggered more frequently. For example, if the second sampling operations are intended to detect seat belt deflection, since seat belt deflection can change frequently, the second sampling operations can be triggered frequently (e.g., every 50 milliseconds). In another example, if the second sampling, operations are intended to detect whether an occupant is wearing a seat belt, since such use can change less frequently, the second sampling operations can be triggered less frequently (e.g., every 2 seconds).

It will be appreciated that any of a variety of second sampling operations can occur as a result of each trigger. For example, in one embodiment, the second sampling operations can alternate between actuating the image sensor26to capture vehicular occupant information and analyzing the captured vehicular occupant information. In such an embodiment, on a first clock cycle, the image sensor26can be actuated to capture vehicular occupant information. On a subsequent clock cycle, the vehicular occupant information captured by the image sensor26(e.g., on a previous clock cycle) can be analyzed to determine seat belt status. In another embodiment, each second sampling operation can actuate the image sensor26to capture vehicular occupant information and can cause the captured vehicular information to be analyzed.

It will be appreciated that the image processor28can be configured such that the first sampling operations are conducted at a separate time from each of the second sampling operations. In one embodiment, as illustrated inFIG. 4, each of the first sampling operations (e.g.,40) and each of the second sampling operations (e.g.,42) can be performed successively. In such an embodiment, a first sampling operation40can be performed on a first clock cycle to determine occupant classification. On a subsequent clock cycle, a second sampling operation42can be performed to determine seat belt status. In another embodiment, as illustrated inFIG. 5, at least about ten first sampling operations140can be performed for each second sampling operation142(e.g., such as when the first sampling operation is intended to determine whether an occupant is a child or an adult and the second sampling operation is intended to identify whether the occupant is wearing the seat belt. In such an embodiment, first sampling operations140can be performed on successive clock cycles to determine occupant classification. On a subsequent clock cycle, a second sampling operation142can be performed to determine seat belt status. It will be appreciated fromFIGS. 4-5that the triggering orders of the first and second sampling operations can be provided in any of a variety of suitable arrangements to facilitate determination of an occupant classification and a seat belt status. The order and frequency of first and second sampling operations can be established based upon the type of occupant classification and seat belt status information sought by the IBOCS.

As illustrated inFIG. 6, the image processor28can be configured to implement an occupant classification algorithm44and a seat belt detection algorithm46. In one embodiment, the occupant classification algorithm44can perform first sampling operations (e.g.,40,140inFIGS. 4-5) and the seat belt detection algorithm46can perform second sampling operations (e.g.,42,142inFIGS. 4-5). In one embodiment, the SRS processor22can be in communication with each of the occupant classification algorithm44and the seat belt detection algorithm46. In this configuration, first and second holds48,50can be alternatively applied (e.g., by the SRS processor22) to the respective occupant classification algorithm44and seat belt detection algorithm46to ensure that each of the first sampling operations is conducted at a separate time from each of the second sampling operations. It will be appreciated that, during the application of either the first or second hold48,50, the non-held algorithm can be employed one time, or many times. For example, when the seat belt detection algorithm is employed, the first hold48can be applied upon the occupant classification algorithm44. During the application of the first hold48, the seat belt detection algorithm46can be employed one or many times to perform second sampling operations on vehicular occupant information (e.g., as shown inFIGS. 4 and 5). In another example, when the occupant classification algorithm44is employed, the second hold50can be applied upon the seat belt detection algorithm46. During the application of the second hold50, the occupant classification algorithm44can be employed one or many times to perform first sampling operations on vehicular occupant information (e.g., as shown inFIGS. 4 and 5). It will be appreciated that the occupant classification algorithm44and seat belt detection algorithm46can include any of a variety of algorithms which facilitate respective determination of occupant classification and seat belt status.

A method can also be provided for employing the above-described embodiment. The method can include capturing vehicular occupant information and performing first sampling operations upon the vehicular occupant information. The method can further include determining occupant classification from the first sampling operations and performing second sampling operations upon the vehicular occupant information at separate times than the first sampling operations. The method can additionally include detecting seat belt status from the second sampling operations.

In one embodiment, the image processor28and the image sensor26can communicate with each other (e.g., bidirectional communication) to facilitate occupant classification and/or seat belt status detection. In particular, the image processor28can control the actuation of the image sensor26. The captured vehicular occupant information can be transmitted from the image sensor26to the image processor28which can then analyze the images to determine occupant classification and/or seat belt status. In another embodiment, the image sensor26can control its own actuation such that it provides a steady flow of image data to the image processor28(e.g., unidirectional communication) to facilitate occupant classification and/or seat belt status detection. The captured vehicular occupant information can be transmitted from the image sensor26to the image processor28which can then analyze the images to determine occupant classification and/or seat belt status.

It will be appreciated that, by conducting first and second sampling operations at separate times, a single processor (e.g., image processor28) can be utilized to perform both functions. Accordingly, separate components need not be provided to facilitate monitoring of occupant classification and seat belt status, and an associated IBOCS (e.g.,14) can be provided more efficiently, more compactly, and less expensively than certain conventional arrangements. Additionally, through combination of processing as described above, it will be appreciated that the IBOCS14can expend less waste energy and heat to determine each of an occupant classification and seat belt status.

The foregoing description of embodiments and examples has been presented for purposes of illustration and description. It is not intended to be exhaustive or limiting to the forms described. Numerous modifications are possible in light of the above teachings. Some of those modifications have been discussed and others will be understood by those skilled in the art. The embodiments were chosen and described for illustration of various embodiments. The scope is, of course, not limited to the examples or embodiments set forth herein, but can be employed in any number of applications and equivalent devices by those of ordinary skill in the art. Rather it is hereby intended the scope be defined by the claims appended hereto.