51 results about "Crash severity" patented technology

An improved method of using multiple point crash sensing and multiple sensor occupant position sensing for classifying a crash event and determining which restraints should be deployed. A central controller collects crash data from multiple crash sensors and combines severity characterization data from each of the multiple sensors to construct a characterization table or matrix for the entire system. Each possible crash event classification is represented by a characterization value mask, and the various masks are sequentially applied to the system characterization table until a match is found, with a match identifying the appropriate crash event classification. The classification decision, in turn, is used to determine which, if any, of the restraint devices should be deployed based upon the crash severity. Similarly, the controller collects data from various occupant position sensors to construct a characterization table or matrix for the occupant position detection system. Each possible occupant position sensor classification is represented by a characterization value mask, and various masks are sequentially applied to the table until a match is found, with a match identifying the appropriate occupant position status. The occupant position status, in turn, is used to determine which, if any, of the restraints may be deployed. The system also includes a centrally located crash sensor, and the controller constructs an intrusion table based on differences between the remote and central sensors. The intrusion classification is determined and combined with the crash classification and occupant position status to determine which restraints should ultimately be deployed.

A method of predicting severity of a potential collision of a vehicle and an object. The method includes determining a probability of the potential collision. An elicitation signal is directed and transmitted to the object from the vehicle when the probability of the potential collision is greater than a threshold value. A response signal is received onboard the vehicle from a device situated on the object in response to the elicitation signal. The response signal includes a type associated with the object. A severity level of the potential collision is predicted based on the type.

A vehicle occupant restraint system includes an airbag system and a seat belt harness with pretensioner and retractor mechanisms. Multiple sensors are mounted within the vehicle to measure and monitor various occupant and vehicle characteristics, which are entered into a central processing unit (CPU). These sensors include an occupant presence sensor for determining whether there is an occupant present within the airbag deployment area, a child seat sensor for determining whether a child seat is properly installed in the airbag deployment area, and a seat belt usage sensor for determining whether a seat belt is in an engaged position. The occupant presence, child seat, and seat belt usage sensors generate system modifier signals that can disable the airbag system or seat belt mechanisms if certain predetermined conditions are not satisfied. Other sensors include an occupant weight sensor, an occupant proximity sensor for determining occupant position relative to the airbag deployment area, a crash severity sensor, and a pre-crash sensor for providing vehicle speed and orientation characteristics prior to the collision. All of these sensors provide input signals that are received by the CPU. The CPU processes these multiple input signals with a hizzy logic control system to generate multiple output signals for controlling the airbag and seat belt mechanisms. The multiple output signals can include a multi-stage airbag inflation signal, a variable venting signal, a seat belt pretensioner signal, and a seat belt retractor signal.

A method and a device for triggering emergency braking of a vehicle for avoiding a collision or for reducing the severity of a collision, the vehicle having at least one object detection sensor, an ascertainment being made as a function of the detected objects as to whether a collision with an object is imminent and a risk to one's own vehicle in the event of a triggering of emergency braking being ascertained as a function of the current surrounding situation, the triggering threshold for emergency braking being variable in such a way that the probability for a false triggering is increased if a calculated risk posed by emergency braking is low and the triggering threshold for emergency braking being variable in such a way that the probability for a false triggering is lowered if a calculated risk posed by emergency braking is higher.

A safety arrangement for use in a motor vehicle comprises at least one plastically-deformable element, defining an interior chamber, which will deform only when subjected to at least a first predetermined force. A source of gas is connected to inject gas into the chamber and a signal generator is provided to generate a signal representative of crash severity which is to be applied to the element during a crash situation or in an anticipated crash situation. The signal generator is connected to a control unit so as to provide the control unit with the signal. The control unit is connected to the source of gas in order to control the source of gas and to inject gas into the interior chamber of the deformable element so as to increase the gas pressure in the chamber when the crash severity signal is substantially in excess of a predetermined threshold. The arrangement provides a structure whose energy absorption characteristics can be varied according to the severity of a crash situation.

The invention discloses a uni-body frame subassembly for a motor vehicle having a towing hitch member. The uni-body frame subassembly involves a configuration for neutralizing the effect of a rear impact involving the rear bumper and the towing hitch member. More specifically, the subassembly comprises reinforcements for supporting and controlling the frame rail segments in a crash event. Controlling the collapse of the uni-body frame subassembly helps to dissipate energy from the impact and as a result delivers less energy to a vehicle occupant compartment.

An occupant protective device, which can precisely determine clash severity of a vehicle collision and suitably protect an occupant according to the clash severity, detects acceleration by an acceleration sensor 1, finds the acceleration, the magnitude of the acceleration, the variation with time of the acceleration, and the decrease in velocity in a control circuit 2, determines clash severity, and actuates inflators 3a, 3b according to the clash severity.

The invention relates to an automobile collision detection method based on active learning and may solve the technical problem that traditional vehicle collision detection techniques are of low accuracy. The automobile collision detection method based on active learning employs a vehicular terminal device installed on a vehicle; longitudinal, transverse and vertical triaxial accelerations X, Y and Z of a vehicle are monitored in real time through acceleration sensors; if any of the trial accelerations is greater than preset value A within predetermined continuous time T1, the vehicular terminal device uploads a collision report to a system platform for the purpose of further inquiry, wherein vehicle collision detection is performed based on the collision report uploaded by the device. The automobile collision detection method based on active learning employs a mathematical model to construct objective indicators for reflecting vehicle collision severities, corresponding collision detection rules are made based on these indicators, vehicle collision types are depicted, and accordingly, false report rate of the device is decreased and the claim settlement risk is effectively controlled for an insurance company.

An in-vehicle apparatus for a vehicle driven by a first driving power source in a first driving mode and driven by a second diving power source in a second driving mode, includes: a collision detection device; a stopping device stopping the first and second driving modes when the collision detection device detects collision; a severity determination device determining a severity of collision indicative of a collision intensity; and a controller. Under a condition that the stopping device stops both of the first driving mode and the second driving mode, the controller executes one of recovery of both of the first driving mode and the second driving mode, recovery of one of the first driving mode and the second driving mode, and system shut-down according to the severity of collision.

In a method of triggering a vehicle occupant restraining device, at least one sensor signal generated by a crash sensor is supplied to an analyzing device, which determines the crash severity, and a time for the triggering of the restraining device based on the crash severity. When a first low crash severity occurs, a timer is started and the restraining device is triggered by the analyzing unit only when a higher crash severity is reached during the running time of the timer.

A deployment method for a supplemental restraint system having multiple distributed acceleration sensors dynamically classifies each crash event based on relationships among the acceleration signals. A severity threshold is selected based on the instant crash classification, and a measure of crash severity is compared to the selected severity threshold to determine if the restraints should be deployed. The measure of crash severity is determined by computing individual measures of crash severity for the various frontal acceleration sensors and selecting the highest of the individual measures.