초록 ▼

A method and system for detecting a vehicle roll-over utilizes a z-axis accelerometer (12) and a processor (20) for analyzing the accelerometer output (18) to provide early detection/prediction of a vehicle roll-over. The output signal (18) is substantially a positive constant value equal to the for

A method and system for detecting a vehicle roll-over utilizes a z-axis accelerometer (12) and a processor (20) for analyzing the accelerometer output (18) to provide early detection/prediction of a vehicle roll-over. The output signal (18) is substantially a positive constant value equal to the force of gravity when the vehicle (16) is in a normal upright condition, and as the vehicle (16) experiences a roll-over, the output signal transitions to a substantially negative constant value when the vehicle has rolled 180°upside down. To provide early roll-over detection and/or prediction, the z-axis data is averaged (102) and compared to a first threshold value (104) set to a g-force value within a range of 0 to -1 g. Estimating a slope value (step 110), i.e. the change in z-axis data over time, can provide an additional discrimination measure to improve overall reliability, and to provide a qualitative measure of the roll over.

대표청구항 ▼

A method for detecting roll-over of a vehicle comprising the steps of: receiving vehicle data from a signal output by an accelerometer, said accelerometer having a sensing axis oriented substantially parallel to a gravitational force; averaging said vehicle data to filter out noise; determining whet

A method for detecting roll-over of a vehicle comprising the steps of: receiving vehicle data from a signal output by an accelerometer, said accelerometer having a sensing axis oriented substantially parallel to a gravitational force; averaging said vehicle data to filter out noise; determining whether the averaged vehicle data exceeds a first predetermined threshold value, said first threshold value being representative of a g-force indicative of the vehicle beginning to roll-over; estimating a slope value representative of a change over time in the averaged data; determining whether the slope value exceeds a second predetermined threshold value; and actuating at least one safety device if both said first and second threshold values are exceeded.