METHOD FOR DETECTING INATTENTIVE VEHICLE OPERATION AND CAMERA MONITORING SYSTEM

Description

[001] The present invention relates to a camera monitoring system for a vehicle and, specifically, to a camera monitoring system module configured to identify and respond to impaired driving using computer-based analysis of images generated by the camera monitoring system. BACKGROUND

[002] Mirror replacement systems and camera systems to supplement mirror views are used in vehicles to improve a vehicle operator's ability to see their surroundings. Camera monitoring systems include one or more camera systems that provide fields of view for vehicle operators, including front, side, and rear fields of view. In some examples, the camera systems cover a wider field of view than a conventional mirror or include views that are not fully obtainable through a conventional mirror and can be used as mirror supplements and / or mirror replacements. In other examples, the camera monitoring system may use algorithms and computer processors to generate stitched, manipulated, and / or extrapolated views capable of providing substantial additional information to the vehicle operator.

[003] In addition to mirror replacement, the images provided by the cameras in the camera monitoring system can be used to detect aspects of the environment and aspects of the vehicle, and can be used with image processing-based detection processes capable of achieving several advantages. Petition 870260073297, dated 07 / 23 / 2026, page 6 / 62 2 / 17 safety, convenience and operational efficiency. SUMMARY OF THE INVENTION

[004] An exemplary method for detecting inattentive vehicle operation includes using a camera monitoring system controller to identify how centered a vehicle containing the camera monitoring system controller is within a first lane line and a second lane line, analyzing at least one image generated by the camera monitoring system and identifying that an inattentive driving event occurred in response to the vehicle's deviation from centering a lane, according to a predefined characteristic.

[005] In another example of the above-described method for detecting inattentive vehicle operation, the predefined feature includes at least one instantaneous vehicle centering and one vehicle centering over time.

[006] In another example of any of the methods described above for detecting inattentive vehicle operation, the predefined characteristic is vehicle centering over time, and wherein the deviation is a difference between a curvature of a line defined by vehicle centering over time and a curvature of a lane defined by the first lane line and the second lane line.

[007] In another example of any of the methods described above for detecting inattentive vehicle operation, the lane curvature is determined, at least in part, by determining a geospatial positioning of the vehicle determined by the camera monitoring system controller and comparing the geospatial positioning with map data.

[008] In another example of any of the methods described above for detecting inattentive vehicle operation, the curvature of Petition 870260073297, dated 07 / 23 / 2026, page 7 / 62 3 / 17 range is determined, at least in part, using image analysis of at least one image generated by the camera monitoring system.

[009] In another example of any of the methods described above for detecting inattentive vehicle operation, lane curvature is determined exclusively using image analysis of at least one image generated by the camera monitoring system.

[0010] Another example of any of the methods described above for detecting inattentive vehicle operation also includes activating an inattentive driving response in response to identifying the inattentive driving event.

[0011] In another example of any of the methods described above for detecting inattentive vehicle operation, the inattentive driving response includes any combination of one or more of storing driving parameters for subsequent uploading to a remote fleet monitoring system, carelessly uploading driving parameters to the remote fleet monitoring system, activating an audio alert for a vehicle operator, and activating a visual alert for the vehicle operator.

[0012] In another example of any of the methods described above for detecting inattentive vehicle operation, the driving parameters include at least two of speed, steering angle, gear and engine RPM, and at least one image generated by the camera monitoring system.

[0013] In another example of any of the methods described above for detecting inattentive vehicle operation, at least one image generated by the camera monitoring system includes at least one rear-facing image generated by a rear-facing camera mounted on the trailer and an image generated Petition 870260073297, dated 07 / 23 / 2026, page 8 / 62 4 / 17 for a Class II / IV mirror.

[0014] In an exemplary embodiment, a Camera Monitoring System for a vehicle includes a plurality of outward-facing cameras arranged around the vehicle, each camera defining a field of view configured to include at least one lane line that defines a lane in which the vehicle is operating while the vehicle is in motion, and a camera monitoring system controller configured to receive images from each of the cameras in the outward-facing plurality of cameras and including a non-transient memory and a processor, the non-transient memory being configured to cause the controller to identify how centered a vehicle containing the camera monitoring system controller is within a first lane line and a second lane line, by analyzing at least one image generated by the camera monitoring system,and to identify that an inattentive driving event occurred in response to vehicle centering by deviating from a lane center according to a predefined characteristic.

[0015] In another example of the camera monitoring system described above for a vehicle, the predefined feature includes at least one instantaneous vehicle centering and one vehicle centering over time.

[0016] In another example of any of the above-described camera monitoring systems for a vehicle, the predefined characteristic is vehicle centering over time, and where deviation is a difference between a curvature of a line defined by vehicle centering over time and a curvature of a lane defined by the first lane line and the second lane line.

[0017] In another example of any of the monitoring systems Petition 870260073297, dated 07 / 23 / 2026, page 9 / 62 5 / 17 In addition to the above-described camera setup for a vehicle, the memory still stores instructions to cause the camera monitoring system to activate an inattentive driving response upon identifying an inattentive driving event.

[0018] In another example of any of the above-described camera monitoring systems for a vehicle, the inattentive driving response includes any combination of one or more of storing driving parameters for subsequent uploading to a remote fleet monitoring system, carelessly uploading driving parameters to the remote fleet monitoring system, activating an audio alert for a vehicle operator, and activating a visual alert for the vehicle operator.

[0019] These and other features of the present invention can be better understood from the following specification and drawings, a brief description of which follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The description may be further understood by reference to the following detailed description, when considered in connection with the accompanying drawings, in which:

[0021] Figure 1A is a schematic front view of a commercial truck with a camera monitoring system used to provide at least Class II and Class IV views.

[0022] Figure 1B is a schematic top-elevation view of a commercial truck with a camera monitoring system that provides Class II, Class IV, Class V and Class VI views.

[0023] Figure 2 is a schematic top perspective view of a vehicle cabin, including displays and internal cameras.

[0024] Figure 3 schematically illustrates a view generated by a forward-facing camera within the monitoring system. Petition 870260073297, dated 07 / 23 / 2026, page 10 / 62 6 / 17 of the cameras in Figures 1A and 1B.

[0025] Figure 4 schematically illustrates an exemplary rear side view generated by the camera monitoring system of Figures 1A and 1B.

[0026] Figure 5 schematically illustrates the operation of an image-based impaired driving detection module within the camera monitoring system.

[0027] Figure 6 illustrates a high-level exemplary process for using a camera monitoring system to identify an impaired driving event and trigger a response.

[0028] Figure 7 illustrates a high-level method for responding to an inattentive driving event detected using the method in Figure 5.

[0029] The embodiments, examples and alternatives of the preceding paragraphs, of the claims or of the description and drawings that follow, including any of their various aspects or respective individual features, may be taken independently or in any combination. The features described in connection with one embodiment are applicable to all embodiments unless such features are inconsistent. DETAILED DESCRIPTION

[0030] A schematic view of a commercial vehicle 10 is illustrated in Figures 1A and 1B. Figure 2 is a schematic top perspective view of the cab of vehicle 10, including internal displays and cameras. Vehicle 10 includes a cab or tractor unit 12 for pulling a trailer 14. It should be understood that the cab unit 12 and / or the trailer 14 can have any configuration. Although a commercial truck is contemplated in the present invention, the invention can also be applied to other types of vehicles. Vehicle 10 incorporates a camera monitoring system 15 Petition 870260073297, dated 07 / 23 / 2026, page 11 / 62 7 / 17 (Figure 2) which has camera arms 16a, 16b on the driver and passenger sides mounted on the outside of the vehicle cabin 12. If desired, camera arms 16a, 16b may include conventional mirrors integrated with them as well, although the camera monitoring system 15 may be used to completely replace the mirrors. In further examples, each side may include multiple camera arms, each arm housing one or more cameras and / or mirrors.

[0031] Each of the camera arms 16a, 16b includes a base that is fixed, for example, to the cab 12. An articulated arm is supported by the base and can articulate relative to it. At least one rear-facing camera 20a, 20b is arranged, respectively, within the camera arms. The external cameras 20a, 20b respectively provide an external field of view FOVEX1 and FOVEX2, each including at least one of the Class II and Class IV views (Figure 1B), which are views prescribed by law in the commercial truck industry. Multiple cameras may also be used in each camera arm 16a, 16b to provide these views, if desired. Class II and Class IV views are defined in European legislation R46, for example, and the United States and other countries have similar driving visibility requirements for commercial trucks.Any reference to a Class view is not intended to be limiting, but is intended to be exemplary of the type of view provided to a display by a specific camera. Each arm 16a, 16b may also provide housing that encloses the electronics that are configured to provide various features of the camera monitoring system 15.

[0032] The first and second video displays 18a, 18b are arranged on each of the driver and passenger sides inside the vehicle cabin 12, on or near pillars A 19a, 19b, to ex Petition 870260073297, dated 07 / 23 / 2026, page 12 / 62 8 / 17 bir views of Class II and Class IV vehicles on their respective sides of vehicle 10, which provide rearward side views along vehicle 10, captured by external cameras 20a, 20b.

[0033] If Class V and / or Class VI video views are also desired, a camera housing 16c and a forward-facing camera 20c can be arranged at or near the front of the vehicle 10 to provide these views (Figure 1B). The forward-facing camera 20c is configured with a field of view that includes the Class V and Class VI areas and extends beyond the Class V and VI zones towards the horizon. A third display 18c, arranged inside the cab 12 near the upper center of the windshield, can be used to display the Class V and Class VI views, which are facing the front of the vehicle 10, to the driver. Displays 18a, 18b, 18c face a driver region 24 inside the cab 22, where an operator is seated in a driver's seat 26.The location, size, and field(s) of view transmitted to any specific display may vary from the configurations described in the present invention and may still incorporate the invention described.

[0034] If a Class VIII view video is desired, additional camera housings may be arranged on the sides and rear of vehicle 10 to provide additional fields of view, including some or all of the Class VIII zones of vehicle 10. As illustrated, the Class VIII view includes views immediately surrounding the trailer 14 and in the rear vicinity of vehicle 10, including the rear of trailer 14. In one example, a view of the rear proximity of vehicle 10 is generated by a rear-facing camera arranged at the rear of vehicle 10 and may include both the immediate rear proximity and a traditional rear view (e.g., a view extending rearward to the ho Petition 870260073297, dated 07 / 23 / 2026, page 13 / 62 9 / 17 horizon, as can be generated by a rearview mirror in vehicles without a trailer 14). In such examples, the third display 18c may include one or more frames displaying Class VIII views. Alternatively, additional displays may be added near the first, second and third displays 18a, 18b, 18c or in alternative locations within the vehicle cab 10 and provide a dedicated display to provide a Class VIII view.

[0035] With continued reference to Figures 1A-2, Figure 3 schematically illustrates an exemplary forward-facing view 200, such as might be generated by the forward-facing camera 20a, or by any similarly positioned camera. Included in the view 200 is a road 210, on which vehicle 10 is traveling. The road 210 includes lane lines 212, 214, with the outer lane lines 212 being defined by solid lines and the inner lane line 214 being defined by dashed line segments. The lanes defined by the lane lines 212, 214 have a standardized width, with the consistent width being along the length of the road 210. In most cases, the widths of the road 210 and the lanes on the road 210 are standardized by local regulations and will be consistent across multiple different roads within a given locality.Simultaneously with the forward-facing view 200 in Figure 3, the rear-facing side cameras 20a and 20b generate rear-facing views 300, including a trailer 12 and the road 210, which is illustrated in Figure 4, with equal numbers indicating equal elements. While Figure 4 illustrates a view of the driver's side of the vehicle 10, a similar view is generated by the passenger-side camera 18b.

[0036] In still other exemplary vehicles, additional cameras may be included in the camera monitoring system 15 and provide similar images, including all or part of the road 210. As Petition 870260073297, dated 07 / 23 / 2026, page 14 / 62 10 / 17 views expressly shown and described are exemplary and any combination of views, including track lines 212, 214, may be used in the processes described herein.

[0037] With continued reference to Figures 1A-4, Figure 5 schematically illustrates exemplary operations of vehicles 10 equipped with the camera monitoring system 15 described herein. The camera monitoring system 15 includes image analysis software configured to use edge detection and similar processes to identify the positioning of lane lines 212, 214 within the various images received from cameras 20a, 20b, 20c and other cameras in the camera monitoring system 15. The positioning of lane lines 212, 214 relative to vehicle 10 can be tracked over time by the camera monitoring system 15, thereby determining how centered vehicle 10 is within the corresponding lane 210a, 210b and identifying a path (driving line 410) followed by vehicle 10. This process is referred to as image-based centering.Lane centering determines how far the center of the vehicle 10 is from each lane line 212, 214, and this distance can be used in multiple ways by the camera monitoring system 15, as well as by other vehicle systems, such as driver assistance systems.

[0038] The camera monitoring system 15 also includes an impaired driving detection and analysis module 17. The impaired driving detection and analysis module 17 is a software module within the camera monitoring system controller 15. The software module 17 is configured to analyze the vehicle's trajectory over time (driving line 410), as determined by image-based lane centering, to identify and respond to indications of impaired driving. Petition 870260073297, dated 07 / 23 / 2026, page 15 / 62 11 / 17

[0039] During the overall operation of vehicle 10, the impaired driving detection and analysis module 17 uses edge detection image analysis on images 200, 300 received from cameras within the camera monitoring system 15 to identify lane line edges and determine the vehicle's position relative to each lane (centering). The detected positioning of each of the lane lines 212, 214 within the images is converted into a three-dimensional position relative to vehicle 10. The three-dimensional position is then used to determine how centered (e.g., how close to equal the distances 412, 414 are between the longitudinal center of vehicle 10 and the inner edges of lane lines 212, 214).

[0040] The impaired driving detection and analysis module then compares how centered the vehicle 10 is in relation to predetermined criteria. When the centering does not meet the predetermined criteria, module 17 detects that an impaired driving event is occurring or has already occurred.

[0041] In one example, the criterion may be instantaneous centering. In this example, when vehicle 10 is off-center by more than a predetermined value (for example, the difference between distances 412, 414 exceeds the predetermined distance), the driver is considered to be inattentive. By way of example, the predetermined distance in one example is 60.9 cm (2 feet). In a practical example, the deviation distance is lane width dependent, and a calibration table can be employed with a lookup table correlating road type with lane width so that appropriate distances can be selected. In yet another example, this value, determined by consulting the lookup table, can be adjusted based on a factor relative to the actual lane width, as determined by the camera monitoring system. Petition 870260073297, dated 23 / 07 / 2026, page 16 / 62 12 / 17 ras 15 using image analysis.

[0042] It can be mathematically calculated when the deviation from the center exceeds the edge by a predetermined distance, and the camera monitoring system mark increments a possible impaired driving counter. Once the counter reaches a certain value (for example, after a certain number of collective events within a given time frame), a record for impaired driving is triggered. In one specific implementation, the impaired driving counter is decremented over time at a predefined rate in order to compensate for accidental events that may falsely increment the possible impaired driving counter.

[0043] In a specific example, a bandwidth of 3.35 to 3.66 meters (11 to 12 feet) is recommended by the United States Federal Highway Administration. Trailer widths are approximately 2.54 meters (8 feet 4 inches), therefore deviations greater than 0.71 meters (2 feet 4 inches) can be used as a trigger for highways in the United States. Furthermore, the ratios between lane width, trailer width, and deviation can be used as a calibration parameter for roads that have different lane widths and / or trailer widths outside the standard trailer width.

[0044] In an alternative example, when the vehicle centering over time (driving line 410) does not match, or only approximately matches, the curvature of lane lines 212, 214 over time, the driver is determined to be inattentive. As used herein, lane line curvature refers to the path of the lane lines and may include extended straight sections where minimal geometric curvature occurs, if any. Lane line curvature 212, 214 is, in one example, determined using the same image analysis process by which camera monitoring system 15 identifies vehicle centering 10. As used herein Petition 870260073297, dated 07 / 23 / 2026, page 17 / 62 13 / 17 of, approximately corresponding to, refers to a driving line 410 that has a contour that includes minimal deviations from the lane line 212, 214, as would be expected of an attentive driver. The deviation from the lane line 212, 214 can be determined using the same, or similar, predefined distance and / or adjusted predefined distance methodology described above with respect to instantaneous centering.

[0045] In yet another alternative example, inattentive driving is detected when vehicle 10 is off-center by a greater amount than predetermined or when the vehicle's centering over time does not approximately correspond to the curvature of the lane lines.

[0046] In some examples, the camera monitoring system 15 also includes a GPS and / or geospatial positioning system 21 configured to identify a geospatial location of the vehicle 10. In these examples, the geospatial location of the vehicle 10 is used to identify the positioning of the vehicle 10 relative to a map dataset, and the map dataset is used to identify an expected road contour 210a, 210b. The expected road contour is then used to verify the accuracy of the image-based lane line contours or as a substitute for the image-based lane line contours. In this way, the positioning system 21 supplements and improves the image-based analysis.

[0047] With continued reference to Figures 1-5, Figure 6 illustrates a method 500 for performing the general procedure described above. The camera monitoring system 15 initially detects the centering of a vehicle and tracks the centering over time in a step 510 of Detecting Vehicle Centering Over Time. As described above, this centering determines a line Petition 870260073297, dated 07 / 23 / 2026, page 18 / 62 14 / 17 of driving 410, and the driving line 410 is compared to an instantaneous centering boundary, a lane contour, or both in a 520 Compare Centering with Predetermined Criteria step. When the predetermined criteria are met, the impaired driving detection and analysis module 17 activates one or more inattentive driver responses in a 530 Activate Inattention Response step.

[0048] The inattention response is, in one example, an audible and / or visual alert to the vehicle operator. The alert draws the driver's attention in an active attempt to remedy inattentive driving. In one example, the alert may include flashing warnings on display screens, accompanied by harsh audio emissions.

[0049] In another example, the inattention response is an activation of a fleet monitoring system that monitors data on inattentive operations and stores the monitored data for subsequent uploading to a fleet monitoring system or any similar system or database for monitoring vehicle operations. In a variation of this example, the camera monitoring system 15 includes remote network hardware and the monitored data is uploaded as inattentive driving occurs, as well as, rather than, saving the data locally for subsequent uploading.

[0050] The stored and / or loaded data includes vehicle parameters (speed, steering angle, gear, engine RPM, vehicle geospatial positioning, etc.) from the general vehicle controller(s), which are obtained by the camera monitoring system via a CAN bus or similar system, image data from the cameras within the camera monitoring system 15 and any information derived from one or both of the vehicle parameters and the image data (e.g., percent drift). Petition 870260073297, dated 07 / 23 / 2026, page 19 / 62 15 / 17 (current centerline, road conditions, lane width, etc.). In the case of local data storage for later uploading, storage can only occur when distracted driving detection is triggered or be stored periodically, depending on the amount of onboard vehicle memory.

[0051] Once loaded, the fleet management system uses the inattentive driving data to continuously monitor driver statistics for a given driver, monitor driving across an entire fleet, provide data for potential incident reports, or any similar use.

[0052] With continued reference to Figures 1-6, Figure 7 schematically illustrates a method 600 for responding to an inattentive driver alert. Initially, when the camera monitoring system 15 indicates an inattentive driver, by the method 500 described above, the camera monitoring system 15 activates a driver monitoring subroutine in an Active Driver Monitoring step 610 and, approximately simultaneously, activates a driver alert system within the camera monitoring system 15 in an Activate Driver Alert step 620. As used herein, approximately simultaneously refers to steps 610 and 620 occurring independently of each other and at similar times. It is appreciated that a single controller may not be able to achieve exact simultaneous operation in a practical embodiment.

[0053] Once activated, driver monitoring step 610 determines the data received in the camera monitoring system 15 that are relevant to inattentive driving (e.g., speed, steering angle, gear, engine RPM, vehicle geospatial positioning), image data used for initial detection, continuous image data received from Petition 870260073297, dated 07 / 23 / 2026, page 20 / 62 16 / 17 cameras (e.g., Class IV images on both sides), vehicle operation data at the time of inattentive operation of general vehicle controllers and the like are collected by the camera monitoring system 15 and stored in a non-transient memory of the camera monitoring system 15 in a 630 Start Data Storage step.

[0054] Data storage continues until the end of a predetermined time period (e.g., 5 minutes) after the vehicle operation resumes attention operations or after a minimum time period. After which, the camera monitoring system 15 terminates the driver monitoring process in a step 640 End Driver Monitoring. Subsequent to completing data collection, the stored data is uploaded to a fleet monitoring system in a step 650 Upload Data to Fleet System.

[0055] In some examples, where vehicle 10 has a wireless data connection capable of connecting to a central data repository, data can be uploaded simultaneously with collection and storage until the cessation of the inattentive driving event.

[0056] By implementing the camera monitoring system features described above, vehicle operations can be monitored and inattentive operations can be flagged and tracked for fleet owner, insurance, and / or driver return purposes. Furthermore, in some examples, the use of the monitoring system described here allows monitoring to be achieved without direct monitoring (e.g., video recording) of the vehicle operator.

[0057] Although an exemplary embodiment has been described, a professional skilled in the art would recognize that certain modifications would fall within the scope of the claims. For this reason, the rei Petition 870260073297, dated 07 / 23 / 2026, page 21 / 62 17 / 17 The following claims should be studied to determine their true scope and content.

Claims

1. Method (500) for detecting inattentive vehicle operation, characterized in that it comprises: using a camera monitoring system controller to identify (510) a vehicle centering of a vehicle containing the camera monitoring system controller by analyzing at least one image generated by the camera monitoring system, the vehicle centering corresponding to how centered the vehicle is within a first lane line and a second lane line; and incrementing a faulty driving counter in response to vehicle centering deviation from a lane center according to a predefined characteristic; decreasing the faulty driving counter over time at a predefined rate to compensate for accidental events; and based on the faulty driving counter reaching a certain value in a given period of time activating (530) an inattentive driving response.

2. Method (500), according to claim 1, characterized in that the predefined feature includes at least one instantaneous value of vehicle centering and a vehicle centering over time.

3. Method (500), according to claim 2, characterized in that the predefined feature is vehicle centering over time, and in that the deviation is a difference between a curvature of a line defined by vehicle centering over time and a curvature of a lane defined by the first lane line and the second lane line.

4. Method (500), according to claim 3, characterized in that the curvature of the lane is determined, in part, by determining a geospatial positioning of the vehicle determined by the camera monitoring system controller and by comparing the geospatial positioning with map data.

5. Method (500), according to claim 3, characterized in that the curvature of the strip is determined, at least in part, using image analysis of at least one image generated by the camera monitoring system.

6. Method (500), according to claim 5, characterized in that the curvature of the strip is determined exclusively using image analysis of at least one image generated by the camera monitoring system.

7. Method (500), according to claim 1, characterized in that the impaired driving response includes any combination of one or more of storing driving parameters for subsequent uploading to a remote fleet monitoring system, uploading driving parameters to the remote fleet monitoring system, activating an audio alert to a vehicle operator, and activating a visual alert to the vehicle operator.

8. Method (500), according to claim 7, characterized in that the driving parameters include at least two of speed, steering angle, gear and engine RPM, and at least one image generated by the camera monitoring system.

9. Method (500), according to claim 1, characterized in that at least one image generated by the camera monitoring system includes at least one of a rear-facing image generated by a rear-facing camera mounted on the trailer and an image generated by a Class II / IV mirror.

10. Camera Monitoring System (15) for a Petition 870260073297, dated 23 / 07 / 2026, page 24 / 62 3 / 4 vehicle (10), characterized in that it comprises: a plurality of cameras (20) facing outwards arranged around the vehicle, each camera defining a field of view (FOVexi, FOVex2) configured to include at least one lane line (212, 214) that defines a lane in which the vehicle is operating while the vehicle is in motion;and a camera monitoring system controller configured to receive images from each of the cameras in the plurality of cameras facing outwards and including a non-transient memory and a processor, the non-transient memory being configured to cause the controller to: identify (510) a vehicle centering of a vehicle containing the camera monitoring system controller by analyzing at least one image generated by the camera monitoring system, the vehicle centering corresponding to how centered the vehicle is within a first lane line and a second lane line, and increment a faulty driving counter in response to vehicle centering deviation from a lane center according to a predefined characteristic; decrease the faulty driving counter over time at a predefined rate to compensate for accidental events;and based on the faulty driving counter that reaches a certain value in a given period of time activate (530) an inattentive driving response.; 11. Camera monitoring system (15), according to claim 10, characterized in that the predefined feature includes at least one instantaneous value of vehicle centering and a vehicle centering over time.

12. Camera monitoring system (15), according to Petition 870260073297, dated 07 / 23 / 2026, page 25 / 62 4 / 4 with claim 10, characterized in that the predefined feature is vehicle centering over time, and in that the deviation is a difference between a curvature of a line defined by vehicle centering over time and a curvature of a lane defined by the first lane line and the second lane line.

13. Camera monitoring system (15), according to claim 10, characterized in that the impaired driving response includes any combination of one or more of storing driving parameters for subsequent uploading to a remote fleet monitoring system, uploading driving parameters to the remote fleet monitoring system, activating an audio alert to a vehicle operator, and activating a visual alert to the vehicle operator.

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