A method for operating a safety system of a motor vehicle includes correcting an output signal of a measuring sensor as a function of a current temperature value measured by a temperature sensor. The motor vehicle includes a sensor device with the measuring sensor to detect a collision and the temperature sensor. The method further includes determining an intrinsic heat of the measuring sensor generated by the operation of the measuring sensor and correcting the output signal as a function of the determined intrinsic heat.

An adaptive force vehicle airbag (AFVA) system includes airbag(s) stowed in a compressed state within an interior of a vehicle. An impact sensor detects a change in motion of the vehicle indicative of a collision. Selectable force gas generator(s) (SFGGs) gas-generating propellant cells that are individually fired. The SFGGs have conduit(s) that receive gas from fired gas-generating propellant cells and direct the gas to inflate at least one of the airbag(s). A controller is communicatively coupled to the inflation initiating component and the gas-generating propellant cells of the SFGGs. The controller enables the AFVA system to: (i) receive an inflation signal from the impact sensor; and (ii) fire a selected number of the gas-generating propellant cells to at least partially inflate the at least one airbag.

A method for the dynamic fixation of an occupant wearing a seatbelt on a vehicle seat involves determining a lateral acceleration of the vehicle and a road course ahead of the vehicle. The seatbelt is tightened with a predetermined belt force for a predetermined period of time before entering a bend having a certain curvature.

A device for emergency disconnection of a high voltage electrical connection between a power source and a high voltage component of an electric aircraft in response to a crash. The device includes a controller, where the controller is configured to receive a sensor datum from a sensor of device, to determine a crash element between and initiate a disconnection protocol as a function of the crash element.

The information processing device includes: an acquiring unit that acquires vehicle information including an acceleration of a vehicle and a detection time at which the acceleration is detected; a deriving unit that derives an amount of change of the acceleration per unit time using the vehicle information; a setting unit that sets a threshold value of the amount of change corresponding to an interval at which the acceleration is detected using the detection time; and an extracting unit that extracts the vehicle information corresponding to the amount of change as target data when the amount of change is equal to or larger than the threshold value.

A method for detecting scratches and bumps applied to a vehicle uses an acceleration sensor. Signals of the sensor are analyzed and evaluated based on amplitude and frequency. Relationships between the amplitudes and frequencies provide a basis to classify a vehicle contact event as a bump or a scratch.

An accident determination device comprising: a first sensor that detects an impact having occurred in a moving object; a second sensor that acquires position information of the moving object; an area determining unit that determines the area attribute of the area where said moving object is located; and a processor that compares impact value of the impact with a determination threshold. The processor sets the determination threshold according to the area attribute defined by the area determining unit. When the area attribute of the area indicates a parking space, the processor sets said determination threshold to be at a lower value than when the area attribute indicates a road. The processor determines whether the accident has occurred based on the result of comparing the impact value with said determination threshold.

Disclosed is a method for predicting collision severity, including: establishing a first learning model, and inputting vehicle data and collision accident scene feature data into the first learning model; obtaining a predicted collision acceleration curve outputted by the first learning model, the predicted collision acceleration curve being established based on a plane rectangular coordinate system; establishing a second learning model, and inputting the predicted collision acceleration curve, the occupant feature data and the restraint system feature data into the second learning model; obtaining a plurality of predicted collision kinematics and dynamics curves of human body parts outputted by the second learning model; generating a collision severity parameter according to the plurality of predicted collision kinematics and dynamics curves of the human body parts, the collision severity parameter being configured to evaluate the collision severity.

A method for detecting a collision of a vehicle, using a measuring device rigidly connected to the vehicle, including the following features: —in each instance, an acceleration of the measuring device with regard to a plurality of device coordinate axes specific to the measuring device is measured; in each instance, an installation position angle of the measuring device with respect to a plurality of vehicle coordinate axes specific to the vehicle is calculated and/or measured and/or programmed from outside; with the aid of the installation position angles, a vehicle acceleration along the vehicle coordinate axes is ascertained, and an evaluation of the accelerations is undertaken; and the degree of determination of the installation position is ascertained by the device and taken into consideration for weighting the accelerations. the collision is detected in light of the evaluation of the vehicle acceleration.

A vehicle for protecting passengers of the vehicles includes a plurality of passenger protecting apparatuses; first sensors obtaining passenger information related to the passengers of the vehicle; second sensors obtaining vehicle motion information in a situation of a collision of the vehicle with another object; and a processor operatively connected to the passenger protecting apparatuses, the first sensors and the second sensors, and the processor estimates passenger behavior information in the situation of the collision based on the obtained passenger information and the obtained vehicle motion information; and controls operation of at least one of the plurality of passenger protecting apparatuses based on the estimated passenger behavior information; and the passenger information may include at least one of state information on a seat of the passenger and information on whether the passenger is wearing a belt.