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This paper uses LabVIEW as a software platform combined with the PXIe-4497 sound and vibration acquisition card to design a sound source localization system. Using the sounding device as sound source, the data is received by the microphone array. After the processing of the sound source localization system, the sound image is added with the video to achieve the locating of the sound source. The system consists of three modules: sound pressure data acquisition module, video acquisition module and data processing module. The sound pressure data acquisition module is programmed by using the DAQmx API function, the video acquisition module is based on the IMAQdx function, and the data processing module uses the phase-shift sum beamforming algorithm. The design of this system can provide practical references for future applications such as noise detections.

In order to accurate the time delay estimation and orientation localization, in this paper, we are aimed at finding a high resolution algorithm to improve the deviation in the far-field source localization. Compared with the traditional method based on the cross-correlation algorithm which often corresponds with the interpolation algorithm, the method of Sliding DFT is a novel time delay estimation approach based on the Sliding DFT analysis window, which is more comprehensive and accurate. The signal is specified into a singularity frequency signal and this algorithm of Sliding DFT uses the sample number at the maximum magnitude of the spectrum as the first estimation and utilize its corresponding phase offset for compensation with the aim to estimate the time delay of the signal, which is a rather new method applied to the acoustic localization field in this paper. The simulation includes a simple acoustic source with singularity frequency using the traditional cross-correlation algorithm and the improved Sliding DFT algorithm, accompanied with the matrix transformation method to compute the position of the assumed signal. After calculating and comparing the statistic of both algorithms, the improvement of the accuracy can be easily seen.

It has been shown that driver fatalities in frontal collisions were reduced by 28% in airbag-equipped cars based on comparisons with similar cars equipped with manual lap/shoulder belts only (Zador and Ciccone, 1991). A similar finding was reported by the Department of Transportation that driver fatality rates in airbag equipped cars were reduced by 31% in purely frontal crashes (12:00 point of impact on the vehicle), and 19% in all frontal crashes (10:00 to 2:00). About 10% of drivers of vehicles with airbags involved in accidents received moderate to severe injuries. Most, if not all, of these people would have been more seriously injured or killed without the airbag. In a recent report to Congress, NHTSA estimated that airbags have saved 1,198 lives from 1987 through 1995, including 475 lives saved in 1995 alone.