An inertial sensor, includes: a substrate; a fixing portion that is provided on the substrate; a first movable body that faces the substrate and that is displaceable with a first support beam as a first rotation axis; the first support beam that is arranged in a first direction and that couples the first movable body and the fixing portion; a second movable body that is displaceable due to deformation of a second support beam; the second support beam that is arranged in a second direction intersecting the first direction and that couples the first movable body and the second movable body; and a protrusion that is provided on the substrate or the second movable body, overlaps the second movable body in plan view from a third direction and that protrudes toward the second movable body or the substrate.

A vehicle safety system includes an actuatable restraint for helping to protect a vehicle occupant and a controller for controlling actuation of the actuatable restraint in response to a vehicle rollover event. The controller is configured to execute a discrimination algorithm comprising at least one classification metric that utilizes at least one of vehicle pitch rate (P_RATE) and vehicle roll acceleration (D_RATE) to discriminate at least one of a ramp rollover event and a soil rollover event from an embankment rollover event. The discrimination algorithm determines a classification of the vehicle rollover event as one of a ramp rollover event, a soil rollover event, and an embankment rollover event. The controller is also configured to select a deployment threshold for deploying the actuatable restraint. The deployment threshold corresponds to the classification of the vehicle rollover event.

An apparatus and a method of controlling an airbag of a vehicle are capable of securing robustness of an airbag deployment logic and more effectively protecting passengers. The apparatus and method achieve this by determining whether to deploy an airbag based on a post-human injury probability calculated through a human injury probability model and Bayesian network learning (feedback learning). The apparatus includes: a human injury probability calculator configured to calculate a human injury conditional probability and a human injury prediction probability based on vehicle motion information measured by a sensing device; a learner configured to calculate a post-human injury probability by performing a probability-based real-time feedback machine learning based on the human injury conditional probability and the human injury prediction probability; and an airbag deployment determiner configured to determine whether to deploy an airbag based on the post-human injury probability.

A control device for controlling a passenger protection device for a vehicle includes an input unit configured to receive a first acceleration signal in a first axial direction and a second acceleration signal in a second axial direction which are generated by an acceleration sensor disposed in a side door of a vehicle, a determination unit configured to determine whether a collision has occurred in the side door of the vehicle using at least one of the first acceleration signal and the second acceleration signal, and a control unit configured to control a passenger protection device disposed adjacent to the side door of the vehicle based on a result of determining whether the collision has occurred.

The disclosure relates to a collision determination device and a vehicle having the same. The collision determination device comprises a communicator configured communicate with a plurality of sensors, and a processor configured to identify a lateral collision force and a collision moment generated in a vehicle based on detection information of the plurality of sensors received through the communicator, and determine whether a collision of the vehicle occurs based on the lateral collision force and the collision moment.

An inertial sensor includes a substrate, a sensor element provided on the substrate, a lid that covers the sensor element and is bonded to the substrate, and a plurality of terminals positioned outside the lid and electrically coupled to the sensor element, in which the plurality of terminals include an input terminal to which an electrical signal is input and a detection terminal for detecting a signal from the sensor element, and L1>L2, where L1 is a distance between the input terminal and the lid, and L2 is a distance between the detection terminal and the lid.

A vehicle includes an acceleration sensor detecting collision, an electric actuator disposed outside a vehicle body, a battery and a boosting circuit supplying a high voltage to the electric actuator, and an electric suspension control ECU controlling the boosting circuit and the electric actuator, and in a case where the acceleration sensor detects the collision, the electric suspension control ECU limits the supply of the high voltage to the electric actuator.

A safety system for a motor vehicle having at least a front wheel arrangement having one or more wheels and rear wheel arrangement having one or more wheels, the arrangement having: a control unit; and one or more vehicle inertial sensors to detect acceleration experienced by the vehicle, the inertial sensors being connected to the control unit so the control unit receives output signals from the inertial sensors; and one or more vehicle safety systems which may be activated by the control unit, wherein the control unit is configured to process the signals received from the inertial sensors and to determine whether at least one of the wheels of the front and rear wheel arrangements is not in contact with the surface over which the vehicle is driven.

Among other things, a documentation of a crash involving a vehicle is generated automatically. Telematics data is received that has been produced by one or more sensors associated with a telematics device at the vehicle. Based on the telematics data, a vehicle crash period is determined that begins at a start time and ends at an end time of the vehicle crash. Based on the telematics data, one or more metrics are determined associated with the vehicle during the vehicle crash period. Based on one or more metrics, a human-readable documentation of the vehicle crash is generated automatically.

An apparatus for determining a rollover condition of a vehicle may include: a rate sensing unit configured to sense one or more rates of a pitch rate PitchRate and a yaw rate YawRate of a vehicle and a roll rate RollRate_IN; an acceleration sensing unit configured to sense horizontal acceleration and vertical acceleration of the vehicle; a conversion unit configured to convert the horizontal acceleration and vertical acceleration into a pitch rate PitchRate_ACC and a yaw rate YawRate_ACC; a combination unit configured to calculate a pitch rate PitchRate_IN and a yaw rate YawRate_IN by combining the one or more rates with the pitch rate PitchRate_ACC and the yaw rate YawRate_ACC; and a determination unit configured to calculate a roll angle RollAngle, and determine whether the vehicle has rolled over, based on the roll rate RollRate_IN and the roll angle RollAngle.