Device for impact detection in a vehicle

• US 20030051530A1
• Filed: 08/15/2002
• Published: 03/20/2003
• Est. Priority Date: 08/16/2001
• Status: Active Grant

• Current Assignee: Robert Bosch GmbH
• Original Assignee: Robert Bosch GmbH
• Inventors: Theisen, Marc, Eisele, Sybille, Roelleke, Michael
• Granted Patent: US 6,678,599 B2
• Time in Patent Office: Days
• US Class Current: 73/12.09
• CPC Class Codes: B60R 2021/01302 monitoring vehicle body vibrations or noise
• CPC Class Codes: B60R 2021/01322 comprising variable thresholds, e.g. depending from other collision parameters
• CPC Class Codes: B60R 21/013 including means for detecting collisions, impending collisions or roll-over
• CPC Class Codes: B60R 21/0132 responsive to vehicle motion parameters , e.g. to vehicle longitudinal or transversal deceleration or speed value
• CPC Class Codes: B60R 21/0134 responsive to imminent contact with an obstacle , e.g. using radar systems
• CPC Class Codes: B60R 21/0136 responsive to actual contact with an obstacle , e.g. to vehicle deformation, bumper displacement or bumper velocity relative to the vehicle monitoring crash strength in combination with passenger seat detection B60R21/01558

Abstract

A device for impact detection in a motor vehicle has both a precrash sensor and an impact sensor, and when an impact is detected, the noise threshold for the impact sensor is lowered, so that the deployment time can then be determined as a function of the signals of the precrash sensor and the impact sensor. Various features are extracted from the signals of the impact sensor and then compared with continuous threshold functions to detect a deployment case. The deceleration and/or velocity and/or predisplacement may be used as features.

Claims

1. A device for performing an impact detection in a vehicle, comprising:

a processor;

at least one impact sensor;

a memory; and

at least one precrash sensor that is connectable to the at least one impact sensor, the processor determining a time of impact as a function of first signals of the at least one precrash sensor, wherein;

the processor lowers a noise threshold for the at least one impact sensor,

the processor then determines a deployment time for a restraint device connected to the device as a function of the first signals and second signals of the at least one impact sensor,

the processor loads a continuous threshold value function from the memory for a set of features derived by the processor from the second signals, and

the processor compares the set of features with the continuous threshold value function as a function of the first signals to determine the deployment time.

2. The device as recited in claim 1, wherein:

the at least one impact sensor includes one of an acceleration sensor, a deformation sensor, a pressure sensor, a temperature sensor, and a structure-borne noise sensor.

3. The device as recited in claim 1, wherein:

the at least one precrash sensor includes one of a radar sensor, a video sensor, and a sound sensor.

4. The device as recited in claim 1, wherein:

the processor determines a deployment of the restraint device from the second signals as a function of an impact velocity and a time of impact.

5. The device as recited in claim 1, wherein:

the continuous threshold value function is formed from crash tests by combining the crash tests into at least one of classes and velocity bands and extracting features from at least two of the classes and from at least two of the velocity bands.