An automated measurement system has been developed for measuring a magnetic-field strength inside and outside a motor vehicle exposed to an electromagnetic-field (EM-field). This measurement system consists of an EM-field generator unit, a magnetic-field probe, a data transmission unit with a fiber optic link, a graphic computer and its peripherals. The system is capable of measuring an EM-field strength of 4085 dBµA/m within a frequency range of 20200 MHz, with a certainty of 0.5 dB. The time required for the measurement is approximately three minutes per axis of X, Y or Z at one measuring point when the measurement is repeated five times per specific frequency at 2 MHz intervals for a frequency range of 20200 MHz. This measuring time is one-twentieth as long as that required by conventional unautomated measurement sets.

It is inevitable for driver assist and warning systems to consider the drivers' state of consciousness. Drowsiness is one of the important factors in estimating the drivers' state of consciousness. A Method to extract the driver's initial stage of drowsiness was developed by means of the eyelid's opening relevant to each various characteristic of objects with motion pictures processing in the actual driving environment. The result was that an increase of the long eyelid closure time was the key factor in estimating the initial stage of drivers' drowsiness while driving. And the state of drowsiness could be presumed by checking the frequencies of long eyelid closure time per unit period.

There is no clear criterion yet for evaluating wipers based on performances of wiping raindrops and visibility in forward view. In the visibility evaluation in rainy driving, it is important to examine spatial frequency and contrast of objects in forward view. Spatial frequency and contrast of image which were affected by raindrops are calculated based on them of background board which were printed stripe patterns. Variations with time of power of analysed frequency and decreased contrast are synchronized with motion of the wiper for the all experimental cases. Moreover, we executed questionnaire, and evaluated the view of the background board. These results show that the proposed methods have been validated in evaluation with wiping performance.