1402results 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 steering control device includes a controller configured to control driving of a motor that generates a torque. The torque is a torque applied to a steering mechanism of a vehicle using electric power from at least any one of an in-vehicle main power source and an auxiliary power source that backs up the main power source. The controller is configured to wait for the auxiliary power source to be charged to an extent that the main power source is able to be backed up and to permit the vehicle to travel when the controller is activated with an activation operation for the vehicle as a trigger and transitions to a state where control of the motor is executable.

Embodiments herein relate to a vehicle immobilization system is having a detection unit operable to detect a level of an intoxicant in a user, a control system to receive a signal from the detection unit indicating a level of intoxicant in the user, and a wireless transmitter configured to transmit signals. The system further includes a wireless relay system configured to be disposed in an engine compartment of the vehicle and having a wireless receiver configured to receive the signals from the wireless transmitter. Other embodiments are also included herein.

An electric vehicle (EV) includes a battery pack, an electric motor, an inverter connected to the electric motor, a power distribution unit (PDU) connected to the battery pack and the inverter, and at least one EV emergency stop switch configured to disconnect the battery pack from the power distribution unit (PDU) when the at least one EV emergency stop switch is activated. The first EV emergency stop switch is located at a front surface of the EV.

A smart safe console system is provided herein. The smart safe console system includes a smart safe console assembly for mounting in a vehicle, having a safe body suitable for securing an electronic device, a button configured for controlling input and output to and from the electronic device when a vehicle hosting the smart safe console system is in use, and a wireless charging apparatus. Such smart safe console system is useful for improving the safety of a user when traveling in a vehicle with an electronic device.

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.

A steering wheel includes a control unit that executes an acceleration control or a deceleration control of a vehicle based on results of detections by a first contact detecting portion, a second contact detecting portion, a first operation detecting portion, and a second operation detecting portion. The control unit does not execute the acceleration control or the deceleration control based on an operation of a first operating portion when the first operating portion is operated in a state in which the first contact detecting portion is not detecting contact by a driver with a first gripping portion, and does not execute the acceleration control or the deceleration control based on an operation of a second operating portion when the second operating portion is operated in a state in which the second contact detecting portion is not detecting contact by the driver with a second gripping portion.

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.

A system for detecting an impairment of an operator of a vehicle includes an alcohol sensor, a camera, a start control, and a controller in electrical communication with the alcohol sensor, the camera, and the start control, the controller including a processor and a memory, the memory including instructions such that the processor is programmed to: determine that alcohol is detected using the alcohol sensor, disable the start control based on the detection of alcohol, perform a gaze nystagmus assessment of the operator using the camera, determine if the operator is impaired based on the gaze nystagmus assessment, and enable the start control when the operator is not impaired.

A vehicle control system includes at least one processor and a storage medium configured to store a program to be executed by the at least one processor. The program includes at least one command. The at least one command causes the at least one processor to execute a key lock-out prevention process of controlling a lock mechanism of a door of a vehicle into an unlocked state in a case where a key that operates the lock mechanism is positioned inside the vehicle, and a vehicle protection process of controlling the lock mechanism into a locked state without executing the key lock-out prevention process in a case where, after automatic stop of the vehicle, an occupant present inside the vehicle is not detected and the key is positioned inside the vehicle.

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.

Systems and methods are provided for determining intoxication in a driver. The system can receive data of a driver's face over a time interval and for each frame of the data, determine one or more parameters associated with eye movements and characteristics of the driver. Based on the one or more parameters for each frame, the frames can be featurized into one or more vectors, where each of the one or more vectors corresponds to a parameter of the one or more parameters. A weight can be applied to each of the one or more vectors and based on the weight of each of the one or more vectors, the system can predict whether the driver surpassed an intoxication threshold. If the driver surpassed the intoxication threshold, the system can alter an operating characteristic of a vehicle of the driver.

To provide a crew member monitoring device capable of accurately detecting an abnormal state of a vehicle crew member.SOLUTION: A crew member monitoring device 1 includes an acquisition unit 11 for acquiring the eye opening distance of a crew member aboard a vehicle and a setting unit 12 for setting an eye opening reference value for determining the abnormal state of the crew member on the basis of the eye opening distance. The setting unit 12 sets a prescribed setting value for the initial value of the eye opening reference value, calculates an update value of the eye opening reference value on the basis of the eye opening distance acquired while the vehicle is travelling, and changes the eye opening reference value from the initial value to the update value when a prescribed condition is satisfied.SELECTED DRAWING: Figure 2

An evacuation running assistance system includes a peripheral environment recognizer to recognize at least a space of a road shoulder and a free space as a non-traffic portion, a time limit setter to set a time limit on the own vehicle for continuing evacuation running, and an evacuation place setter to determine at least one of the road shoulder space and the free space recognized by the peripheral environment recognizer as an evacuation place where the own vehicle is evacuated. A situation determiner determines a situation of an own vehicle as being in one of situations in which evacuation running is to be continued, running of an own vehicle is to be stopped on a lane, and road shoulder evacuation is to be performed based on the time limit. A controller controls the own vehicle based on the situation of the own vehicle determined by the situation determiner.

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.