A rotational sensor for measuring rotational acceleration is disclosed. The rotational sensor comprises a sense substrate; at least two proof masses, and a set of two transducers. Each of the at least two proof masses is anchored to the sense substrate via at least one flexure and electrically isolated from each other; and the at least two proof masses are capable of rotating in-plane about a Z-axis relative to the sense substrate, wherein the Z-axis is normal to the substrate. Each of the transducers can sense rotation of each proof mass with respect to the sense substrate in response to a rotation of the rotational sensor.

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 occupant protection device for a vehicle includes a seat, a three-point seatbelt device, and a belt airbag device. An occupant to board the vehicle is to sit on the seat. The three-point seatbelt device includes a seatbelt extendable across a front of an upper body of the occupant sitting on the seat. The belt airbag device includes a belt airbag that is provided at a shoulder belt section, which is extendable from a shoulder to a waist of the occupant, of the seatbelt, and that is configured to be deployed when a collision occurs. The belt airbag includes a belt-direction deployment section extendable and deployable along the shoulder belt section, and an intersecting-direction deployment section extendable and deployable in a direction intersecting the shoulder belt section. The sections are configured to form a single bag by being coupled to each other below a head of the occupant sitting on the seat.

A drive and control system for a lawn tractor includes a CAN-Bus network, a plurality of controllers, a pair of electric transaxles controlled by the plurality of controllers, and one or more steering and drive input devices coupled to respective sensor(s) for sensing user steering and drive inputs. The plurality of controllers communicate with one or more vehicle sensors via the CAN-Bus network. The plurality of controllers receive the user's steering and drive inputs and posts on the CAN-Bus network and generate drive signals to obtain the desired speed and direction of motion of the lawn tractor.

Embodiments of the present disclosure set forth techniques for compensating for a roll effect for an optical sensor. The techniques include receiving sensor data from at least one sensor associated with the vehicle, detecting an amount of a roll of the vehicle based on the sensor data, generating a command based on the detected amount of roll, and controlling an orientation of the optical sensor based on the command.

A method for detecting a malfunction or defect of a sensor of a vehicle safety device uses a control unit of the vehicle safety device and at least one self-testing sensor which is separate from the control unit and transmits measuring values to the control unit. The following steps are performed: a) The sensor performs the self-test of the sensor, wherein the measuring section of the sensor is activated in a simulated manner in order to generate a test measuring value in response to the simulated activation, b) a signal is transmitted to the control unit which includes at least one of: a ratio of test measuring value to intensity of the simulated activation, a deviation of the test measuring value from the simulated activation and a test measuring value, c) it is checked by means of the control unit whether at least one of the ratio, the deviation and the measuring value is plausible, d) the control unit determines that the sensor has malfunctioned or is defective if at least one on the ratio, the deviation and the test measuring value is considered to be non-plausible.

An apparatus and method are disclosed for vehicle occupant protection in large animal collisions. Objects forward of the host vehicle are monitored using at least one forward looking remote sensor and object signals output. A velocity of the host vehicle is determined and velocity signals output. The object signals and the velocity signals are processed to determine whether the host vehicle unavoidably will suffer a collision with a large animal while traveling at or above a threshold velocity and a collision signal is output. Operation of a motor operated height adjustment device, an inclination adjustment device and/or a longitudinal position adjustment device of a vehicle seat is triggered to move a seat cushion and a backrest thereof away from a leading edge of a roof of the host vehicle in response to the collision signal.

An occupant restraint system for a vehicle includes: a seat belt device configured w restrain an occupant seated on a vehicular seat with a webbing, in which one end of the webbing is wound around a winding device and the other end is fixed to one of the vehicular seat and a vehicle body, and the seat belt device is configured so that a motor provided in the winding device is driven to wind the webbing; and an electronic control unit configured to drive the motor so that a prescribed amount of the webbing is wound, when a first condition is satisfied.

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 braking control apparatus is configured to control braking force to be generated by a braking device of a vehicle. The braking control apparatus includes a contact detector and a braking control unit. The contact detector is configured to detect a contact of the vehicle. The braking control unit is configured to perform a post-crash braking control that generates the braking force in response to that the contact detector detects the contact and thereby decelerates the vehicle, and cancel the post-crash braking control in a case where an amount of operation of an accelerator operation device of the vehicle is increased and decreased in a predetermined pattern, in which the accelerator operation device is configured to receive an accelerator operation to be performed by a driver who drives the vehicle.