1156results about "Propulsion unit safety devices" patented technology

Multiple enzymes may be present in one or more active areas of an electrochemical analyte sensor for detecting one or more different analytes. In particular, an analyte sensor may comprise a sensor tail configured for insertion into a tissue and one or more working electrodes having a glucose-responsive active area and an ethanol-responsive active area to detect glucose and ethanol in vivo.

A charging system can include a housing. The housing can include a controller. The housing also can include a power source configured to power the controller. The charging system also can include a wireless charger configured to transfer energy to the power source. The wireless charger can include a first indicator. The first indicator can be configured to provide a first non-flashing visual output at a first brightness level and indicative of a first charging status of the power source. The first indicator also can be configured to provide a second non-flashing visual output at a second brightness level indicative of a second charging status of the power source. Other embodiments are disclosed.

A method to prevent intoxicated operation is described. The method includes providing instructions to a vehicle user to position a vehicle user body portion posture in a predefined alignment. The method further includes obtaining the vehicle user body portion posture from a first vehicle detector, and determining whether the vehicle user body portion posture is in the predefined alignment. The method includes activating a plurality of vehicle visual indicators to illuminate in a predefined manner when the vehicle user body portion posture is in the predefined alignment. The method further includes providing instructions to the vehicle user to move vehicle user eyes to track the plurality of vehicle visual indicators, and obtaining a vehicle user eye movement from a second vehicle detector. The method further includes determining whether the vehicle user eye movement meets a predetermined condition, and actuating a control action accordingly.

A method for predicting risk exposure includes receiving a particular set of data acquired via a sensor. The method for predicting risk exposure further can include analyzing, via a machine learning (ML) model, the particular set of data. The analyzing can include determining that the particular set of data represents a particular light exposure pattern corresponding to a light exposure pattern correlated with a risk pattern. The ML model can be trained with a first set of data and a second set of data to identify a correlation between the light exposure pattern and the risk pattern. The method for predicting risk exposure also can include predicting a risk exposure for a user based on the particular set of data. The method for predicting risk exposure also can include providing a notice indicating the risk exposure.

A computer implemented method for controlling at least one driven and / or braked wheel of a heavy-duty vehicle includes configuring a default inverse tire model and a boost inverse tire model, where each inverse tire model represents a respective relationship between longitudinal wheel slip and longitudinal wheel force at the wheel, where the boost inverse tire model is associated with a higher maximum obtainable wheel slip value for the wheel compared to the default inverse tire model, obtaining a motion request indicative of a desired longitudinal force to be generated by the wheel, selecting the boost inverse tire model as active inverse tire model in response to detecting a boost signal and selecting the default inverse tire model as active inverse tire model otherwise, and controlling the at least one driven and / or braked wheel in dependence of the motion request and based on the active inverse tire model.

A utility vehicle includes a frame assembly defined by a lower frame assembly and an upper frame assembly coupled to the lower frame assembly. The frame assembly supports a plurality of body panels. A roof, front windshield, rear windshield, and doors may be coupled to the frame assembly to enclose the operator area.

The application provides a vehicle gear control method, device, storage medium and equipment. In the method, when the vehicle speed is less than or equal to a preset speed threshold, a driver side door signal, a safety belt signal and an off-site sensor signal are acquired. If the door signal indicates that the door is in an open state, and the safety belt signal indicates that the safety belt is in an open state, or if the off-site sensor signal indicates that the driver is not on the seat, it is determined that the vehicle meets the automatic return to the parking gear condition. In the case that the automatic return to the parking gear function of the vehicle is in an activatable state and the vehicle meets the automatic return to the parking gear condition, the gear of the vehicle is switched to the parking gear. In this way, the off-site sensor signal is used as a redundant judgment signal of the door signal and the safety belt signal. Even if the door signal or the safety belt signal is lost, the vehicle can still automatically engage the parking gear, thereby preventing the vehicle from moving unexpectedly when the driver leaves the vehicle and improving the vehicle safety.

Systems and methods are disclosed for driver assistance. In one example a method for an advanced driver alert system for a vehicle comprises monitoring, via a user-facing camera, facial movement of a user over time. The method includes determining a plurality of facial movement metrics based on the facial movement over an adjustable time window, transforming the plurality of facial movement metrics into a machine readable representation of the adjustable time window, and determining, via a code reading model, one or more user requests based on the machine readable representation of the facial movement metrics. The method includes executing one or more user assistance operations based on the determined user requests.

A method for predicting fatigue of a driver of a vehicle comprises obtaining (110) environmental perception data of the vehicle from at least one environmental perception sensor of the vehicle, wherein the environmental perception data represents at least one environment of the vehicle while driving. The method further comprises processing (120) the environmental perception data to determine (150) a prediction variable that reflects whether the driver of the vehicle is fatigued. The method further comprises providing (160) a warning based on the prediction variable.

The invention provides a vehicle deviation path detection method and device, relates to the technical field of vehicle path planning, is applied to a cloud server, and comprises the following steps: determining a target planning path pre-configured for a target vehicle, the target planning path comprising a plurality of path points; in the running process of the target vehicle, the current position of the target vehicle is obtained; in the plurality of waypoints, determining the waypoint closest to the current position of the target vehicle as a current target waypoint, the target waypoint being the waypoint closest to the position of the target vehicle; and under the condition that the distance between the current target path point and the current position of the target vehicle exceeds the maximum deviation distance, determining that the target vehicle deviates from the target planned path. According to the method, the sensitivity of static path comparison to positioning fluctuation is overcome, even if transient position jump of the vehicle occurs due to signal interference, stability judgment can still be performed by taking the dynamically anchored nearest path point as a reference, and the false alarm rate is reduced.

A SmartSafe tray or cassette assembly for vehicles is disclosed, comprising a smartphone docking slot and a controller configured to permit vehicle ignition only upon authorized docking. The system integrates with vehicle infotainment and head-up display (HUD) interfaces to project navigation, route, and media data. It provides haptic, visual, and audible alerts for route updates, fuel level, and safety conditions. The assembly supports voice commands for destination confirmation, includes AI-based driver monitoring, event data recording, and anti-theft synchronization. The tray further enables wireless charging, multi-mode operation via restricted or unrestricted key fobs, and compatibility with cars, scooters, e-bikes, and helmets featuring HUD projection.

Systems and methods for cloud-based vehicle control are generally described. In some examples, first vehicle identifier data identifying a first vehicle may be received. In some cases, first state data representing a first software version of a first system associated with the first vehicle identifier data may be received. In some examples, a first condition associated with the first system may be determined based at least in part on the first state data. In further examples, first control data may be sent to a first computing device of a first vehicle based at least in part on the first condition. In various examples, the first control data may be effective to control operation of at least one component of the first vehicle.

A method for setting a heavy duty vehicle in motion. The method includes obtaining a motion instruction for setting the vehicle in motion, determining a target wheel slip value corresponding to a wheel slip suitable for executing to the motion instruction, and controlling wheel speed to maintain wheel slip of the vehicle at the target wheel slip value.

A driver support system includes: an acquisition unit that acquires biometric data of a driver of a moving object; an evaluation unit that evaluates a health condition of the driver; and an interactive response unit that executes an interaction operation for interactive response with the driver using an HMI device mounted on the moving object, the evaluation unit being configured to; when estimating based on the biometric data for the driver that the health condition of the driver is poor, instruct the interactive response unit to execute the interaction operation, thereby acquiring a response input, which is a response of the driver to a response facilitating output that facilitates the driver to respond in the interaction operation; and determine the health condition of the driver based on a degree of suitability of the response input to the response facilitating output.

Vehicle that includes the following: an identification system located inside the vehicle and configured to capture information from a token in the vehicle's environment and to classify a driver of the vehicle based on that information; a sensor array located inside the vehicle and configured to measure several parameters representing the vehicle's current handling condition and the vehicle's limit handling condition; and at least one control unit in communication with the identification system and the sensor array, configured to determine a range between the current handling condition of the vehicle and the limit handling condition, to record a history of the range if the driver classification is of a special type, and to characterize the long-term behavior of the driver, combining several driver characterization possibilities and calculating fuzzy probabilities that the driver classified as being of the special type falls into one of several categories.

The invention discloses a safety system and method for preventing drunk driving of a vehicle, the vehicle and a medium, and relates to the technical field of safe driving. The safety system comprises a vehicle-mounted terminal and a cloud server which are in communication connection, the vehicle-mounted terminal comprises a detection module, a collection module, a processing module and a control module, and the processing module is used for verifying the identity of a driver through face data and voice data continuously collected by the collection module and sending the identity of the driver to the cloud server after verification is passed. The behavior state of a driver is determined according to voltage data continuously output by the comprehensive detection module, if the behavior state is drunk driving, a first control instruction is generated, early warning information is uploaded to the cloud server, and the control module is used for intelligently controlling the vehicle through the first control instruction or a second control instruction. Wherein the second control instruction is obtained by analyzing the early warning information through the cloud server to obtain the vehicle operation data and combining the traffic environment around the vehicle and the vehicle operation data until the vehicle stably stops, and safety is ensured.

A vehicular driver monitoring system includes a vehicular interior rearview mirror assembly, with a mirror head that accommodates a mirror reflective element and a driver monitoring camera. The driver monitoring camera, with the mirror head adjusted to provide a rearward view for a driver of the vehicle, views at least a driver's head region of the interior cabin of the vehicle. A forward-viewing camera views a region exterior and at least forward of the vehicle and through a windshield of the vehicle. The driver monitoring camera and the forward-viewing camera transfer image data to an electronic control unit (ECU) that includes an image processor. The ECU is accommodated by the mirror head. The system, based on processing at the ECU of image data captured by the driver monitoring camera and image data captured by the forward-viewing camera, performs a driver monitoring function of the vehicle.

The invention relates to the technical field of vehicle safe driving, in particular to an alcohol detection and vehicle control system for safe driving of a driver, which comprises an alcohol detection system, a core control system and an application monitoring system, the alcohol detection system comprises an air pressure detection sensor, a sound recognition sensor, a passive alcohol detection sensor, an active alcohol detection sensor, an infrared body temperature sensor, a camera, an NFC module and a fingerprint recognition module; the core control system comprises an ignition switch control circuit, a 4G communication module, a positioning module, a power supply circuit, a voice module, an automobile CAN bus module and a master control core system. The application monitoring system is connected with the cloud application system through the Internet, and the collected local data and the detection result are reported to the server application monitoring system, so that the risk of alcohol in the body of the driver to safe driving can be reduced.

The invention provides a vehicle wading early warning method, system and device. The method comprises the steps that current vehicle driving information, spatial distribution information of a ponding area and current environment parameter information are collected in real time; and based on the spatial distribution information and the current environment parameter information, obtaining the predicted passing time of the vehicle. And obtaining final whole-course ponding information based on the vehicle predicted passing time, the current environment parameter information and the current vehicle driving information. And predicting a vehicle wading risk level based on the final whole-course ponding information, and performing early warning by adopting a preset early warning mode. According to the method provided by the invention, the technical problem that the vehicle wading risk cannot be dynamically pre-judged due to the fact that only single-point water depth detection is adopted in vehicle wading early warning in the prior art, and the terrain difference of the whole process of the ponding area and the ponding increment within the passing time are not covered is effectively solved.

An apparatus configured to, with a processor, cause the apparatus to at least collect real-time driving data for at least one vehicle from a mobile device associated with a user of the vehicle or a navigation unit of the vehicle, wherein the collected real-time driving data includes at least parking location information for the vehicle; retrieve historical driving data associated with the at least one vehicle from one or more databases; retrieve point of interest (POI) data from one or more databases; generate a vehicle type prediction associated with the vehicle based on the collected real-time driving data, the retrieved historical driving data, and the POI data, wherein the generated vehicle type prediction is stored in the one or more databases; and generate an electrical vehicle charge point location prediction based on at least the vehicle type prediction and parking location information for at least one vehicle.

A computer system comprising processing circuitry is disclosed. The processing circuitry is configured to obtain sensing data from a sensor monitoring a cargo space of a vehicle; determine, based on the sensing data, that at least a portion of a cargo in the cargo space is moved a threshold distance of the cargo space during operation of the vehicle; determine at least one preventive action to be carried out by the vehicle to prevent further movement of the cargo with respect to the threshold distance, the at least one preventive action comprising a driving route; and control the vehicle to at least partially carry out the at least one preventive action.

Aspects relate to mechanisms to control the effective optical path length through skin tissue for non-invasive optical spectroscopy measurements. An apparatus can include a path length control part configured to control the effective optical path length of diffusely scattered light transmitted through skin tissue to produce a target effective optical path length. The apparatus may further include a spectral sensor, a detector, and a light source configured to produce input light directed towards the path length control part or the spectral sensor. The detector is configured to obtain a spectrum of an analyte under test based on the diffusely scattered light. The spectral sensor is configured to either receive the input light, produce modulated light based on the input light, and direct the modulated light to the skin tissue, or to receive the diffusely scattered light from the skin tissue and obtain the spectrum using the detector.

Methods and apparatuses for responding to an emergency situation are disclosed, where the method for responding to an emergency situation includes activating an emergency control mode based on a travel trajectory of a vehicle, stopping the vehicle on a shoulder based on the emergency control mode, outputting an emergency light of the vehicle, and determining whether the emergency control mode is active.

The invention discloses a parking braking method, a parking braking system and a computer readable medium, and the parking braking method comprises the steps: obtaining state signals representing driver behaviors, including a braking state signal, a gear state signal, an engine state signal and a vehicle speed signal; judging whether the vehicle meets static parking conditions or not according to the state signal, wherein the static parking conditions comprise brake release, N gear, engine flameout and 0 current vehicle speed; when the vehicle meets the static parking condition, whether the EPB is activated within set time or not is judged; if yes, the vehicle is controlled to execute current parking operation; if not, the EPB is automatically activated, and the engine starting circuit is cut off. Parking braking is carried out based on the driver operation behavior sequence, the states of the driver operation behaviors are judged step by step, whether the driver is in the parking forgetting state or not is recognized, then the early warning strategy and the parking strategy are intelligently adjusted, the degradation processing strategy is supplemented in the operation behavior sequence, and mistaken parking and parking forgetting are effectively avoided.

The invention belongs to the technical field of automobile safety, and discloses an automobile drunk driving prevention system and method based on passenger state and air alcohol detection, an alcohol concentration detection module comprises an alcohol sensor in a driver area and an alcohol sensor in a public area / passenger area in an automobile; the passenger state detection module comprises a seat sensor and a camera; the central control unit is mounted below a vehicle instrument panel; the active expiration reinspection module is integrated in a steering wheel scheme, or is designed into an independent small handheld or fixed mouthpiece; the actuator is connected to an original start button circuit, a transmission control unit (TCU) or an engine control unit (ECU) of a vehicle through a relay or a control signal wire harness and sends a'start / operation limiting 'instruction. The early warning device utilizes an original instrument panel display system, a horn system and a sound system of the vehicle. According to the invention, passenger positioning and specific area alcohol concentration monitoring are integrated, and the risk of passenger drinking misjudgment caused by only depending on the overall concentration in the vehicle is greatly reduced.

A computer implemented method for controlling at least one driven and / or braked wheel (102, 310) of a heavy-duty vehicle (100), the method comprising configuring (S1) a default inverse tyre model and a boost inverse tyre model, where each inverse tyre model represents a respective relationship (200) between longitudinal wheel slip (λ) and longitudinal wheel force (Fx) at the wheel (102, 310), where the boost inverse tyre model is associated with a higher maximum obtainable wheel slip value (λlim) for the wheel (102, 310) compared to the default inverse tyre model, obtaining (S2) a motion request (areq) indicative of a desired longitudinal force (Fx) to be generated by the wheel (102, 310), selecting (S3) the boost inverse tyre model as active inverse tyre model in response to detecting a boost signal and selecting the default inverse tyre model as active inverse tyre model otherwise, and controlling (S4) the at least one driven and / or braked wheel (102, 310) in dependence of the motion request (areq) and based on the active inverse tyre model.

A device, system and methodology for horizontal gaze nystagmus (HGN) testing. Prior to a test subject taking an action that is verboten in an impaired state, such as driving a vehicle or operating complex or dangerous machinery, the test subject is positioned within a face recognition box of a screen and a HGN simulation test performed, capturing HGN eye movements of the test subject from which the present HGN physiological state of the test subject is determined. The present HGN physiological state of the test subject is compared to a reference HGN state to determine whether the test subject is impaired. Impairment causes temporary restriction of the functionality of the machinery or vehicle.

An apparatus for providing a safety strategy in a vehicle is provided. The apparatus includes a sensor configured to sense information about an external object and a control circuit configured to be electrically connected with the sensor. The control circuit is configured to initiate a minimum risk strategy (MRM), when a predetermined condition is met, to determine a lateral location of the vehicle based on information obtained by the sensor and a location of a driving lane of the vehicle on a road, and to move the vehicle to the determined lateral location while executing the MRM.

To prevent leakage of hydrogen gas at a dangerous time.SOLUTION: A work machine includes: a vehicle body that can travel; a tank 13 mounted to the vehicle body; a fuel cell 24 mounted to the vehicle body and generating electric power by using hydrogen supplied from the tank 13; a valve 60 capable of shutting off supply of the hydrogen from the tank 13 to the fuel cell 24; and a detection device 80 provided in the vehicle body. The vehicle body travels on the basis of detection information from the detection device 80, and the valve 60 is closed when a traveling status of the vehicle body obtained through the detection information is determined to be dangerous.SELECTED DRAWING: Figure 4

A vehicular control system includes at least one camera disposed in a vehicle and viewing a driver of the vehicle who is sitting in a driver seat of the vehicle. The vehicular control system is operable to drive the vehicle along a road in accordance with SAE Level 3. The vehicular control system determines, at least in part via processing of image data captured by the at least one camera, ability of the driver to take over driving the vehicle from the vehicular control system. While the vehicular control system is driving the vehicle in accordance with SAE Level 3, and responsive at least in part to determination by the vehicular control system that the driver is not able to take over driving the vehicle from the vehicular control system, the vehicular control system continues driving the vehicle in accordance with SAE Level 3 and initiates an emergency action.