51 results about "Crash severity" patented technology

A location aware mobile device may include an accelerometer or similar motion sensing component that can measure changes in speed or direction. An application executing in the mobile device can determine whether particular motion changes are indicative of the mobile device being involved in a crash event. If the motion parameters indicate that a crash event has occurred, the mobile device can communicate a crash event notification to a server, which can alert an emergency response unit about the crash, including the crash location, without the need for human intervention. Verification of the crash event may be performed at the server in a variety of ways, including the simultaneous receipt of crash event notifications from multiple co-located devices.

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 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.

A method for triggering restraint devices in which at least one collision-indicating signal is generated. From the moment that a collision is detected, temporally defined crash phases are specified, and, for every crash phase, a crash type and a crash severity are determined from the signal. The appropriate restraint devices are triggered as a function of the crash severity and / or the crash 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 method of predicting severity of a potential collision of first and second vehicles. The method includes determining that a probability of a potential collision of the vehicles is greater than a threshold value. Vehicle condition-defining signals are exchanged between the vehicles when the probability of the potential collision is greater than the threshold value including a first vehicle condition-defining signal developed on board the first vehicle and a second vehicle condition-defining signal developed onboard the second vehicle. The method further includes predicting onboard the first vehicle a severity of the potential collision for the first vehicle based upon input that includes the first vehicle condition-defining signal and the second vehicle condition-defining signal. A severity of the potential collision for the second vehicle is predicted onboard the second vehicle based upon the second vehicle condition-defining signal and the first vehicle condition-defining signal.

The invention relates to a safety judgment and processing method in the driving process of an intelligent network-connected automatic driving automobile. The method comprises the following steps: acquiring the relative distance and relative speed of front and rear vehicles in real time through the intelligent network-connected automatic driving automobile, and extracting a traffic management speedand a safety distance of the road and the acceleration and deceleration performances of the vehicle; setting a multi-level safety discrimination index of the automatic driving automobile; further networking to obtain vehicle types, numbers of passengers, cargo carrying quantity, cargo unit prices and vehicle value information of surrounding vehicles when potential safety hazards exist in all surrounding vehicles on the premise that a safety processing method cannot avoid such dangers; selecting the collision kinetic energy loss as an index according to said information, calculating the severity of to-be-collided vehicles, selecting a vehicle with the lowest collision severity to collide, and selecting a vehicle with the lowest collision economic loss to collide if more than two vehicles with the lowest collision severity exist. According to the method, the safety judgment accuracy and reliability of the intelligent network-connected automatic driving automobile in the driving state are improved.

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.

A supplemental restraint deployment method utilizes measured vehicle speed and acceleration and the output of a closing velocity sensor that detects the presence and closing rate of an approaching object prior to contact with the vehicle. The closing velocity and vehicle speed are utilized for classification of an impending crash event, where the deployment options vary depending on the crash classification. In the ensuing crash event, a classification-dependent algorithm is executed to determine if, when and what level of restraint deployment is warranted based on measures of actual crash severity. Additionally, the algorithm is reset when the calculated change in vehicle velocity reaches the initial closing velocity.

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.

A method for triggering restraint devices in which at least one collision-indicating signal is generated. From the moment that a collision is detected, temporally defined crash phases are specified, and, for every crash phase, a crash type and a crash severity are determined from the signal. The appropriate restraint devices are triggered as a function of the crash severity and / or the crash type.

Apparatus for a road vehicle has a plurality of deployable devices, each performing a crash safety function. A device controller controls deployment of a respective deployable device and that provides respective status messages according to a deployment status of the respective deployable device. Respective status messages for each deployable device include a ready message and a deployed message. A crash sensor detects a crash event when the vehicle is involved in an impact, wherein the crash sensor generates a crash event message. A display controller is coupled to the deployable devices to receive the status messages and coupled to the crash sensor to receive the crash event message. A display is coupled to the display controller for displaying status information to a driver of the vehicle. The displayed status information includes pre-crash status of the deployable devices and post-crash status of the deployable devices.

Commercial aircraft (11) having a black box (41) comprising a flight data recorder (49) connected to suitable acquisition units (13, 14, 15) for recording information required for crash investigation purposes inside a container (43), wherein the aircraft (11) comprises a crash detection device (17); the black box (41) is installed in a suitable location for being ejected outside the aircraft in a crash event through a duct (21, 31) having its exit in a fuselage area where the ejected black box (41) would not impact on the aircraft; the aircraft (11) also comprises ejection means (23, 33), controlled by a black box ejection control unit (19) connected to said crash detection device (17), for ejecting the black box (41) through said duct (21, 31), when an impending crash is detected by said crash detection device (17).

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 electronic module assembly for controlling the deployment of one or more airbags (68) in an aircraft includes a power source (30), a crash sensor (24) configured to produce a signal in response toa crash event and an accelerometer (28) that is configured to produce a signal in response to a crash event. A processor (20) starts a timer upon detection of the signal from the crash sensor. When the processor receives a signal from the crash sensor, the processor is configured to determine if a signal has also been received from the accelerometer and if signals from both the crash sensor and the accelerometer indicate a crash event then the processor reads a memory associated with an inflator (60). The processor reads a timing value selected for the inflator and fires the inflator when thetimer has a value equal to the timing value selected for the inflator.

The invention provides a method and device for positioning a crash event, a storage medium and an electronic device, and the method comprises the steps: monitoring whether terminal software has a crash event or not; when it is monitored that the terminal software crashes, crashing parameters of the crashing events are obtained, and the crashing parameters comprise event logs, equipment informationand user operation information; and positioning a defect code for triggering the crash event according to the crash parameter. Through the method and the device, the technical problem of inaccurate defect codes of crash events caused by positioning in the prior art is solved.

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.

The invention provides a crash analysis method and device, an electronic device and a storage medium, which are applied to a target application. The method comprises the following steps of recording the information of each window in the target application into a preset log file in real time; and when the target application generates the crash event, analyzing the crash of the application based onthe preset log file and the crash log. Through the method and the device, the window abnormity causing the crash can be analyzed in time, and the crash analysis effect is effectively improved.

Occupant displacement corresponding to sensed acceleration in a crash event is determined and used to enable and disable deployment of supplemental restraints based on crash severity. The determined occupant displacement is compared to a first threshold calibrated to discriminate against disturbances due to rough roads and other non-crash events, and a second threshold calibrated to discriminate against non-deployment crash events. Deployment of supplemental restraints based on crash severity is enabled only when the determined displacement is between the first and second thresholds.

In one aspect, the invention is directed to a closure latch for a vehicle door, wherein during a crash event, the closure latch has an inertia member that prevents the vehicle door from opening. The inertia member may only temporarily prevent the vehicle door from opening, or alternatively it may cause a lock lever to move to a locked position, so that the vehicle door remains locked even after the inertia member is no longer actuated.

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.

Apparatus for a road vehicle has a plurality of deployable devices, each performing a crash safety function. A device controller controls deployment of a respective deployable device and that provides respective status messages according to a deployment status of the respective deployable device. Respective status messages for each deployable device include a ready message and a deployed message. A crash sensor detects a crash event when the vehicle is involved in an impact, wherein the crash sensor generates a crash event message. A display controller is coupled to the deployable devices to receive the status messages and coupled to the crash sensor to receive the crash event message. A display is coupled to the display controller for displaying status information to a driver of the vehicle. The displayed status information includes pre-crash status of the deployable devices and post-crash status of the deployable devices.