Abstract: Methods and systems for vehicle passenger detection, can involve extracting a region of interest from one or more images of a vehicle captured by one or more cameras, image-processing of the region of interest and detecting faces in the region of interest with a pruned deep neural-network based object-detection module of a neural network comprising a pruned network, and utilizing the pruned network for inference to determine a number of passengers in the vehicle. The neural network can be pruned by identifying filter pairs in the neural network having a high correlation of weights to detect features have redundant features, and iteratively removing the filter pairs wherein the neural network is retrained after the iterative removal of the filter pairs.

Abstract: A server includes a memory storing instructions and a processor configured to execute the instructions to obtain an inside-fridge image captured in a refrigerator by comparing a pre-stored image to the obtained inside-fridge image, identify whether a change area in which a change occurred in the obtained inside-fridge image is present in the obtained inside-fridge image, based on the change area being not present in the obtained inside-fridge image, obtain first food storage information, using a first result of recognizing the pre-stored image, based on the change area being present in the obtained inside-fridge image, obtain second food storage information, using the obtained first food storage information and a second result of recognizing an object included in the obtained inside-fridge image, and transmit, to the refrigerator, the obtained inside-fridge image and either one or both of the obtained first food storage information and the obtained second food storage information.

Abstract: A healthcare device and a vehicle system are capable of charging a sensor device that measures a biosignal. The healthcare device includes the sensor device that includes a biosignal measuring sensor that measures the biosignal and uses the biosignal measuring sensor as a charging electrode during charging, a healthcare controller that collects and calculates the biosignal measured through the biosignal measuring sensor, a sensor device battery that receives power from an external pogo pin through an electrode of the biosignal measuring sensor during charging by the charging electrode to charge a power supply of the sensor device battery, and a selecting device that connects the biosignal measuring sensor to any one of the healthcare controller and the sensor device battery.

Abstract: A display control apparatus is installed in an own vehicle to display an image on a display device viewed by a passenger of the own vehicle. The display control apparatus includes a boundary acquisition section that acquires positions of boundary portions defining both width-wise ends of a traveling lane in which the own vehicle travels, and an object acquisition section that acquires a position of an object around the traveling lane. The apparatus generates a position image, which is an image representing the positions of the boundary portions and the position of the object, and displays the position image on the display device.

Abstract: A system for providing an alarm indicating a non-fastening state of a seatbelt of a vehicle is provided. The system includes a seatbelt part provided in a seat of the vehicle; a first controller connected in communication to the seatbelt part and configured to determine whether a buckle of the seatbelt part is fastened and a first sensor module connected to the first controller. The first sensor module includes a first transmitter configured to transmit a buckle fastening signal when the buckle is fastened. A second sensor module includes a first receiver that is configured to receive the buckle fastening signal from the first sensor module. A second controller is connected in communication to the second sensor module, and is configured to receive the buckle fastening signal and output an alarm indicating whether the seatbelt is fastened.

Abstract: A system for automatic ejection mode selection may comprise: a first ejection seat configured to receive a first pilot; a second ejection seat configured to receive a second pilot or a non-pilot; a user detection system configured to determine whether the second ejection seat has the second pilot, the non-pilot, or is empty; and a controller configured to adjust an ejection system in response to determining whether the second ejection seat has the second pilot, the non-pilot, or is empty.

Abstract: A vehicle control system monitors an infant possibly left behind in a cabin of a vehicle. The vehicle control system performs a danger avoidance process of either avoiding or reducing a danger to the infant based on a monitoring result. The vehicle control system includes an image acquirer for acquiring one or more vehicle stationary images indicating an interior of the cabin. The one or more vehicle stationary images are captured by an imaging device during stopping of the vehicle. A leaving behind determiner is provided to determine presence or absence of an infant left behind in the cabin based one or more vehicle stationary images.

Abstract: A vehicle airbag device includes: an inflator configured to generate gas when a first squib and a second squib are fired, respectively; an airbag including a main bag portion configured to inflate and deploy between an occupant seated in a passenger seat and an instrument panel and between the occupant and a windshield when the gas generated by the inflator is supplied into the airbag, and a center bag portion configured to project between the passenger seat and a driver seat from the main bag portion; and a controlling portion configured to control the inflator such that, when a head-on collision occurs, the second squib is fired after the first squib is fired, and when an oblique collision occurs, the second squib is fired after the first squib is fired and at a timing earlier than that when the head-on collision occurs.

Abstract: A detection is made as to whether a vehicle occupant seated on a vehicle seat of a seating system of a motor vehicle has put on a pair of electronic data glasses. If the vehicle occupant has put on a pair of electronic data glasses, a check is performed to determine whether a predetermined minimum distance exists between the vehicle seat and an interior component of the motor vehicle. If the minimum distance exists, an adjustment range of the seating system is restricted in such a way that it is not possible to fall below the minimum distance. If the minimum distance does not exist, the minimum distance is established by automatically adjusting the seating system and/or outputting a message relating to the noncompliance with the minimum distance.

Abstract: A driving assist system for a vehicle includes a driver monitoring system that includes a plurality of sensors disposed in a vehicle and sensing driver hand positions of a driver driving the vehicle. A control includes a processor operable to process data sensed by the sensors to determine the driver hand positions of the driver driving the vehicle. The control, responsive to processing of data sensed by the sensors and at least in part responsive to the determined sensed driver hand positions, is operable to determine a level of attentiveness of the driver. The driving assistance system of the vehicle operates to provide driving assistance of the vehicle responsive at least in part to the determined level of attentiveness of the driver.

Abstract: An information presentation apparatus includes an activity determination unit configured to determine whether a driver engages in a driving activity or a non-driving activity; an engagement level calculation unit configured to calculate a driver engagement level related to driving, based on at least one of a determination result of the driving activity and a determination result of the non-driving activity in an engagement level calculation period; a system confidence level acquisition unit configured to acquire a system confidence level of autonomous driving control; and an information presentation unit configured to present information to the driver based on the engagement level and the system confidence level.

Abstract: A pedestrian protection apparatus may include: an active sensor configured to sense a forward obstacle of a vehicle; a passive sensor configured to sense a collision of the vehicle; a storage unit configured to store a collision threshold value which is set according to the passive sensor and a protection subject; a protection module driving unit configured to drive a protection module for protecting the protection subject in case of a collision with the vehicle; and a control unit configured to identify the protection subject based on the sensing result of the active sensor, adjust the collision threshold value according to the protection subject, compare the sensing result of the passive sensor to the collision threshold value, and operate the protection module driving unit.

Abstract: A system for detecting and mitigating an unsafe condition in a vehicle includes an image sensor configured to generate and output image data of one or more seats in a cabin of the vehicle and a processing system operably connected to the image sensor and including at least one processor. The processing system is configured to receive the image data from the image sensor, process the image data to determine a location of at least one passenger in the cabin, detect that the at least one passenger is located outside of the one or more seats based on the determined location of the at least one passenger in the cabin, and operate at least one component of the vehicle in a predefined manner in response to detecting that the at least one passenger is located outside of the one or more seats.

Abstract: In various examples, systems and methods are disclosed that accurately identify driver and passenger in-cabin activities that may indicate a biomechanical distraction that prevents a driver from being fully engaged in driving a vehicle. In particular, image data representative of an image of an occupant of a vehicle may be applied to one or more deep neural networks (DNNs). Using the DNNs, data indicative of key point locations corresponding to the occupant may be computed, a shape and/or a volume corresponding to the occupant may be reconstructed, a position and size of the occupant may be estimated, hand gesture activities may be classified, and/or body postures or poses may be classified. These determinations may be used to determine operations or settings for the vehicle to increase not only the safety of the occupants, but also of surrounding motorists, bicyclists, and pedestrians.

Abstract: In various embodiments, methods and systems for controlling a suspension system of a vehicle are provided. In one embodiment, a control system includes: one or more first sensors configured to measure a velocity of the vehicle; one or more second sensors configured to detecting one or more additional vehicles that ae moving in relation to the vehicle; and a processor that is coupled to the first sensors and the second sensors and that is configured to provide instructions for adjusting the suspension system of the vehicle, based on the measured velocity of the vehicle and the detected one or more additional vehicles that are moving in relation to the vehicle.

Abstract: An unattended occupant alarm assembly includes a plurality of passenger pressure pads that is each integrated into a respective passenger seat in a vehicle to detect the weight of a passenger sitting in any other the passenger seats. A driver pressure pad is integrated into a driver's seat of the vehicle to detect the weight of a driver sitting in the driver's seat. A control unit is coupled to the vehicle. The control unit is actuated into an alert condition when the driver pressure pad does not detect the weight of the driver and any of the passenger pressure pads detects the weight of the passenger after a pre-determined duration of time. Additionally, the vehicle horn is actuated to emit an audible alarm and the electric window system is actuated to roll down windows of the vehicle when the control unit is actuated into the alert condition.

Abstract: An object recognition apparatus groups reflection points detected by a radar device, and recognizes an object around the own vehicle, based on a radar-based target detected using the grouped plurality of reflection points and an image-based target detected using an image captured by an image capturing device. The object recognition apparatus includes a reflection point acquiring unit that acquires reflection point information related to the grouped plurality of reflection points, and an object determining unit that determines that a plurality of objects have been detected as a single object by the radar device, based on the reflection point information acquired by the reflection point acquiring unit and the information on the image-based target, if the image-based target detected by the imaging device includes an image-only target not detected by the radar device.

Abstract: A system, method, and device for protecting a vehicle occupant over a computerized network. There is an electronic seat pad with an occupant sensor, a driver sensor control module that detects proximity a driver's portable electronic computing device relative to the vehicle; and a key-location sensor that detects proximity of a vehicle key to the vehicle. There is a system management module that determines alert statuses and sends alert and safety notifications to a remote notification device, which automatically registers an alert if a threshold level of safety notifications are not received. There may be pressure, temperature, signal strength, CO2, IR, and other sensors. There is a state library that may be updated to identify additional dangerous states based on sensor readings.

Abstract: A method includes receiving over a first dedicated traffic channel, DTCH parameters for a second DTCH from a first information providing device; broadcasting a connect command to a second information providing device to establish the second DTCH between the computing device and the second information providing device in a single communication handshake, the connect command comprising the DTCH parameters; receiving over the second DTCH, an electronic traffic signal associated with an area of a vehicular passageway associated with the second information providing device; determining from the electronic traffic signal, a predetermined value of a vehicular passageway parameter associated with the area; comparing the predetermined value with a current vehicle value of the vehicular passageway parameter; generating a command to display an indication in a vehicle as a result of the comparing; and transmitting the command to a display in the vehicle.

Abstract: According to various embodiments, described herein are methods and systems for collecting data for training a load inference regression model for use in an ADV. According to one exemplary method, an ADV is manually driven on a segment of a road for a number of periods of time. During each period of time, a set of features of the ADV are recorded, including one or more features at a first time prior to a gear shift from a first gear position to a second gear position, and one or more features at a second time after the gear shift. For each of the number of periods of time, a weight of the ADV is also recorded using a weight sensor. The recorded features and the total weight of the ADV for each of the periods of time are then used to train a neural network regression model for inferring a load of the ADV in real time.

Abstract: Guidance to a vehicle occupant is directed to manual adjustment of a height of a D-ring mechanism of a safety belt. First data of the occupant is collected which is indicative of a target height for the D-ring mechanism. Second data is collected indicative of a current height of the D-ring mechanism. The target height and the current height are compared to generate an adjustment amount whenever their difference is greater than a predetermined threshold. Visual guidance is presented to the occupant on an HMI display panel wherein the visual guidance describes taking an particular action to achieve the manual height adjustment of the D-ring mechanism. A further visual instruction is presented to the occupant on the HMI display panel wherein the visual instruction identifies the adjustment amount.

Abstract: Systems and methods for detecting and issuing one or more safety measures if a person or an object has separated from a moving vehicle. The system may include at least one torque sensor coupled to the vehicle and configured to detect torque at a drivetrain of the vehicle. The system may further include at least one processor in electronic communication with the at least one torque sensor. The at least one processor may be configured to measure change in torque in real-time, where the change in time is directly proportional to a change in a mass of a load carried by the vehicle. The system may further include an alerting device controlled by the at least one processor. The alerting device may be configured to alert an operator of the vehicle when the change in torque exceeds a predetermined threshold value.

Abstract: Method and systems for identifying dangers in an accessible environment. Computer vision and video analysis is performed on one or more images and/or video of the accessible environment to generate a series of still frames for a database of training images and natural language processing (NLP) is performed on one or more written reports to generate textual parameters. An online image similarity search is performed using the textual parameters to generate additional images for the database of training images and a risk/danger prediction model is generated based on the database of training images. One or more potential dangers are identified, and one or more warnings are generated using the risk/danger prediction model.

Abstract: A vehicular electronic mirror system includes a rear imaging device configured to capture an image of a rear side of a vehicle, rear lateral imaging devices respectively configured to capture images of right and left rear sides of the vehicle, and an electronic control device configured to perform, according to at least one of a state of the vehicle and a situation around the vehicle, different image processing processes on a rear image captured by the rear imaging device and rear lateral images captured by the rear lateral imaging devices and selected according to at least one of the state of the vehicle and the situation around the vehicle, and to cause a display device to display the rear image and the rear lateral images.

Abstract: A method of activating a head restraint system in a vehicle for an occupant is provided. The method comprises providing a vehicle seat having a seat belt and a head restraint in the vehicle and detecting the occupant in the vehicle. The method further comprises actuating the seat head restraint of the vehicle seat to an in-use position if the seat belt is buckled. The method further includes providing an actuation signal to an electronic control module of the vehicle if the seat head restraint is actuated.

Abstract: An information providing system for reducing the processing load when estimating a potential risk area when a vehicle is traveling is provided. The information providing system acquires heart rate data of an occupant of the vehicle acquired by a wearable terminal attached to the occupant. The information providing system estimates a potential risk area that is a cause to increase a heart rate based on the heart rate data acquired. The information providing system specifies a point in time a predetermined time before a point in time at which the heart rate indicated by the heart rate data increases, and estimates the position of the vehicle corresponding to the specified point in time as the potential risk area.

Abstract: Sensor and method for detecting road conditions while a vehicle is moving, the sensor comprising a dual optical frequency comb, optical means for directing the output beam of the comb towards a verification site of the road, a photodetector and receiving optics for directing the back reflected light towards the photodetector, the photodetector being provided with electronics for obtaining the RF spectrum of the detected signal and resolving the optical spectrum of the verification region from the RF spectrum.

Abstract: An action to be performed by a vehicle in response to conflicting input signals can be determined. A sensor signal and an accelerator pedal signal can be received. The sensor signal can indicate a possible need to reduce a speed of the vehicle. The accelerator pedal signal can indicate that an accelerator pedal has been set to a position to increase the speed. An existence of first and second conditions can be determined. The first condition can be that a receipt of the accelerator pedal signal occurred concurrently with a receipt of the sensor signal. The second condition can be that a manner in which the accelerator pedal was set to the position is a better match to a brake pedal usage profile than to an accelerator pedal usage profile. In response to the existence of the first and the second conditions, a brake can be caused to be actuated.

Abstract: An electronic control unit includes a signal input circuit configured to receive a sensor signal from a radar sensor or from a lidar Sensor and a processing circuit configured to determine a first condition based on a first representation of the sensor signal, and to generate an activation signal in response to the first condition.

Abstract: A vehicle, system and a computer-implemented method for setting a height of a seat belt in a vehicle. The system includes a computer vision module, a motor and a controller. The computer vision module determines a seatbelt-neck distance (SND) and a seatbelt-shoulder distance (SSD) for an occupant of the vehicle. The motor adjusts the height of the seat belt. The controller control the motor to set the height of the seat belt based on the SND and the SSD.

Abstract: A vehicle driving control method depending on a baby mode, may include, when the baby mode is activated, receiving information on a state of a vehicle seat, correcting a center state of charge (SOC) value of a battery of the vehicle based on the information on the state of the vehicle seat, determining a state of a transmission of the vehicle, and performing regenerative brake and brake pedal stroke (BPS) scale/filtering correction control or an electric vehicle (EV) mode and accelerator position sensor (APS) scale/filtering correction control based on the state of the transmission of the vehicle and the state of the vehicle seat.

Abstract: Disclosed herein is a method of controlling a vehicle driving depending on a baby mode, including activating an apparatus for automatically controlling and limiting a speed of a vehicle, and determining a state of a car seat when the car seat is installed, correcting a speed profile of the apparatus for automatically controlling and limiting the speed of the vehicle based on the state of the car seat, determining whether the vehicle enters a turning section, when the vehicle enters the turning section, performing at least one of turning section acceleration control or turning section deceleration control based on the state of the car seat, and determining whether the vehicle passes through the turning section after performing at least one of the turning section acceleration or deceleration.

Abstract: A method for operating a vehicle including a vehicle sensing system includes generating a baseline image model of an cabin of the vehicle based on image data of the cabin of the vehicle generated by an imaging device of the vehicle sensing system, the baseline image model generated before a passenger event, and generating an event image model of the cabin of the vehicle based on image data of the cabin of the vehicle generated by the imaging device, the event image model generated after the passenger event. The method further includes identifying image deviations by comparing the event image model to the baseline image model with a controller of the vehicle sensing system, the image deviations corresponding to differences in the cabin of the vehicle from before the passenger event to after the passenger event, and operating the vehicle based on the identified image deviations.

Abstract: A system and method for removing false positives during determination of a presence of at least one rear seat passenger of a vehicle that include activating an image system to capture images of rear seats of the vehicle to determine the presence of the at least one rear seat passenger. The system and method additionally include deactivating the image system to cease capturing images of the rear seats of the vehicle. The system and method also include reactivating the image system to capture images of the rear seats of the vehicle to determine the presence of the at least one rear seat passenger. The system and method further include presenting a user interface notification that includes a video feed of the rear seats of the vehicle based on the determined presence of the at least one rear seat passenger.

Abstract: A collision-avoidance system for use with an autonomous-capable vehicle can continuously receive image frames captured of the roadway to determine drivable space in a forward direction of the vehicle. The system can determine, for each image frame, whether individual regions of the image frame depict drivable space. The system can do so using machine-learned image recognition algorithms such as convolutional neural networks generated using extensive training data. Using such techniques, the system can label regions of the image frames as corresponding to drivable space or non-drivable space. By analyzing the labeled image frames, the system can determine whether the vehicle is likely to impact a region of non-drivable space. And, in response to such a determination, the system can generate control signals that override other control systems or human operator input to control the brakes, the steering, or other sub-systems of the vehicle to avoid the collision.

Abstract: A vehicle occupancy reminder system. The system includes at least one camera mounted to an interior surface of a motor vehicle. The camera is in operable connection with a processor. The processor is configured to perform a first logic. The first logic is a facial recognition program. The facial recognition program is configured to detect the presence of an individual or multiple individuals. The facial recognition program is configured to enact an alarm protocol when the facial recognition program detects the presence of any individuals.

Abstract: A wireless mobile device is used to control an HVAC temperature setpoint in a police vehicle containing a police dog. A wireless signal specifying a commanded temperature setting is checked to prevent malicious adjustments by a hacker. The commanded temperature setting is rejected when it is outside a predetermined range between an absolute minimum and an absolute maximum. When an outside ambient temperature is below a cold-day threshold, then the commanded temperature setting is rejected when it requests a temperature decrease. When the outside ambient temperature is above a hot-day threshold, then the commanded temperature setting is rejected when it requests a temperature increase. Otherwise, when the commanded temperature setting is not rejected as being outside the predetermined range, as being a decrease when below the cold-day threshold, or as being an increase when above the hot-day threshold, then the temperature setpoint is set to match the commanded setting.

Abstract: Embodiments of the invention include a vehicle telematics system including a telematics device and a remote server system, wherein the telematics device obtains sensor data from at least one sensor installed in a vehicle, calculates peak resultant data based on the sensor data, generates crash score data based on the peak resultant data and a set of crash curve data for the vehicle, and provides the obtained sensor data when the crash score data exceeds a crash threshold to the remote server system and the remote server system obtains vehicle sensor data and vehicle identification data from the vehicle telematics device, calculates resultant change data and absolute speed change data based on the obtained sensor data and/or the vehicle identification data, and generates crash occurred data when the resultant change data exceeds a first threshold value and when the absolute speed change data is below a second threshold value.

Abstract: A vehicle system comprises a hitch mounted on a vehicle and at least one sensor in connection with the hitch. A controller is configured to identify a force applied to the hitch via the at least one sensor. In response to the force, the controller is further configured to approximate a direction of the force. Based on the direction, the controller generates instructions identifying a height adjustment of a coupler of a trailer.

Abstract: An illustrative example object detection system includes a sensor having a field of view. The sensor is configured to emit radiation and to detect at least some of the radiation reflected by an object within the field of view. A panel in the field of view allows the radiation to pass through the panel. The panel being is configured to be set in a fixed position relative to a vehicle coordinate system. A plurality of reflective alignment markers are situated on the panel in the field of view. The reflective alignment markers reflect radiation emitted by the sensor back toward the sensor. A processor is configured to determine an alignment of the sensor with the vehicle coordinate system based on an indication from the sensor regarding radiation reflected by the reflective alignment markers and detected by the sensor.

Abstract: The present disclosure provides a data transmission method and a data transmission device for an intelligent driving vehicle, and a device. The method includes: acquiring data to be transmitted; encoding the data to be transmitted to generate encoded data; generating a check digit according to the data to be transmitted; adding the encoded data to a data packet, wherein a trailer of the data packet comprises the check digit; and transmitting the data packet.

Abstract: An electronic device for detecting the presence of an occupant on board a vehicle includes an audio sensor to acquire sound-sensing signals on board the vehicle. A movement sensor acquires movement-sensing signals associated with movement of the vehicle and an environmental sensor acquires environmental-sensing signals on board the vehicle. A processing unit is coupled to the audio sensor, movement sensor, and environmental sensor processes the respective sound-sensing signals, movement-sensing signals, and environmental-sensing signals to monitor the presence on board the vehicle of the occupant and the absence of a responsible person to determine a situation of danger and to activate a corresponding alarm warning.

Abstract: There is provided an occupant protection device for a vehicle, the occupant protection device including a side collision prediction device configured to predict a collision with a side of a host vehicle and output a prediction result including determination about whether or not the predicted collision is an inevitable collision, a physical quantity detection device configured to detect a physical quantity related to the collision with the side of the host vehicle and output a detection value of the physical quantity, an airbag device configured to expand to protect an occupant of the vehicle when the airbag device is operated, and an electronic control unit.

Abstract: A driving support apparatus (10) executes collision prevention control for avoiding collision with the object when a possibility of a vehicle (VA) colliding with an object based on object information (e.g., distance, direction, and relative speed) acquired by a millimeter wave radar device (21) and a camera device (22) is high. Further, the driving support apparatus does not execute the collision prevention control when an accelerator pedal operation amount is equal to or larger than a stop threshold value. However, the driving support apparatus executes the collision prevention control even when the accelerator pedal operation amount is equal to or larger than the stop threshold value within a specific period of from a start point at which a predetermined erroneous operation condition is satisfied, to an end point, which is a time point after a predetermined consideration period has elapsed since the erroneous operation condition has no longer been satisfied.

Abstract: An ECU of an automated drive device determines a future traveling track for a vehicle using a first straight line that extends in a forward direction of the vehicle, a second straight line that extends along a second course, and a curved track that extends between a first predetermined point on the first straight line and a second predetermined point on the second straight line. After determination of the future traveling track, the vehicle turns to the right in an intersection during actual traveling on the traveling track, if a median strip is present in a course of the vehicle, a changed track is calculated so as to avoid interference of the vehicle with the median strip.

Abstract: A driving evaluation apparatus includes a processor configured to determine, based on information about facial expressions or behaviors of one or more passengers riding in a vehicle that is under automatic driving control, whether or not the passenger has displayed a facial expression or behavior indicating a specific feeling, and estimate ride comfort of the vehicle felt by the passenger in accordance with a determination result; and evaluate the driving of the vehicle that is under the automatic driving control, based on an estimation result of the ride comfort.

Abstract: A method for generating a trigger signal for triggering at least one safety function of a motor vehicle includes receiving respective signals from at least two pressure tube sensors; determining a minimum size of a collision object and/or a speed of the motor vehicle from the signals received, and emitting the trigger signal for the at least one safety function in accordance with at least one of the parameters.

Abstract: Disclosed is a passenger safety system for a vehicle that can remind a driver of the vehicle to check seats before leaving the vehicle. The system includes a control unit connected to an ignition sensor. The control unit can receive a signal from the ignition sensor indicating turning-off the ignition. The system may also include a weight sensor installed in the rear seat of the vehicle. The weight sensor is activated when an object is placed on the rear seat. The control unit can trigger an alert upon receiving a signal from the ignition sensor and the weight sensor is active. The alert can be an audio and/or visual alert for reminding the driver.

Abstract: An apparatus, methods and systems for a monitoring system for data collection in a vehicle are disclosed. The system can include a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to input received from at least one of a plurality of input sensors, each of the plurality of input sensors operatively coupled to at least one of a plurality of components of the vehicle, a data analysis circuit structured to determine a state value, wherein the data analysis circuit includes a pattern recognition circuit structured to determine the state value by analyzing a subset of the plurality of detection values and at least one external detection value using at least one of a neural net or an expert system, and an analysis response circuit structured to adjust a parameter of the vehicle in response to the state value.

Abstract: An electrical system may include a mounting surface, a component configured for connection with the mounting surface and configured to move relative to the mounting surface, and/or an orientation sensor configured to determining an orientation of the component relative to the mounting surface. The orientation sensor may include a first sensor (e.g., a magnetometer, an accelerometer, a gyroscope, etc.) connected, at least indirectly, to the mounting surface, and a second sensor (e.g., a magnetometer, an accelerometer, a gyroscope, etc.) connected to move with the component. The orientation sensor may include an electronic controller. The electronic controller may be configured to compare first information from the first sensor to second information from the second sensor to determine the orientation of the component relative to the mounting surface.