Abstract: A distributed fuzzy logic target signal discriminator for collision avoidance laser radar comprising a delayer, a subtractor, an arbitration module, a fuzzy logic inference module and an output module; the present invention uses fuzzy logic to design an adjustable tolerance bound &dgr;(t) for stabilizing signals. The fuzzy model is a Takagi-Sugeno type and the inference method is fuzzy inference.

Abstract: A vehicle collision avoidance warning device comprising a sensing module for detecting engine RPM, fuel throttle depress level, vehicle speed, and relative distance; a fuzzy logic controller coupled to the sensing module for receiving the engine RPM, throttle index, vehicle speed, and relative distance and generating a safety distance value using fuzzy logic; a safety warning device coupled to the fuzzy logic controller and the sensing module for comparing the distance with the safety distance and outputting a warning signal according to the comparison result.

Abstract: A vehicle impact severity identification device comprises an acceleration detector for generating a vehicle impact acceleration signal. The impact severity identification circuit uses the acceleration signal generated by the acceleration detector and generates an impact severity identification signal at its output port. During an frontal impact, when the acceleration signal exceeds a predetermined start value, the impact severity identification circuit will identify whether the impact is a severe impact based upon a displacement generated from the acceleration signal during a predetermined period.