Intelligent air bag system
First Claim
Patent Images
1. An occupant safety system comprising:
- a controller including a fuzzy inference engine responding to a rule base;
a sensor suite communicating with said controller; and
said controller operable to activate an active restraint at one of a plurality of levels of deployment based upon said sensor suite and said rule base.
4 Assignments
0 Petitions
Accused Products
Abstract
An intelligent air bag system includes a controller communicating with a sensor suite and the air bag. The controller preferably includes a fuzzy inference engine. The sensor suite includes a plurality of sensors such as weight sensors, acceleration sensors, seat belt activation sensors, and the like. The fuzzy inference engine determines deployment by using a rule base including a multiple of parameters. The decision to deploy the air bag and the strength of the air bag deployment is determined by controller using fuzzy logic to more particularly tailor deployment to present conditions.
12 Citations
26 Claims
-
1. An occupant safety system comprising:
-
a controller including a fuzzy inference engine responding to a rule base;
a sensor suite communicating with said controller; and
said controller operable to activate an active restraint at one of a plurality of levels of deployment based upon said sensor suite and said rule base. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
-
-
9. A method of activating an active restraint comprising the steps of:
-
(1) defining a rule base relating a multiple of active restraint deployment parameters and conditions;
(2) communicating inputs from a sensor suite to a controller operating upon the rule base; and
(3) determining a level of force with which to deploy the active restraint in response to the rule base and said inputs. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17, 18)
-
-
19. A computer readable medium scoring a program which when executed by a computer performs the steps of:
-
1) converting occupant and crash information inputs into fuzzy data;
2) using the fuzzy data in a fuzzy logic controller to determine fuzzy controI actions;
3) converting the fuzzy control actions into deployment instructions, by defuzzifying the control actions; and
4) sending the deployment instructions to an active restraint deployment controller. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26)
-
Specification