A study on autonomous vehicle using sound information technology

초록

Autonomous vehicles are cars that operate without driver's manipulation and are different from unmanned vehicles. Autonomous driving is a meaningful research project that is the first step to jump into a dream vehicle in which the driver's seat completely disappears. Recently, however, the speed of research and development has slowed down due to a series of accidents during the trial operation of autonomous vehicles. Autonomous vehicles, which have been studied in the past, are composed of various kinds of object recognition sensors, several special stereoscopic cameras, and graphic recognition devices. Although we are studying various IT technology and object recognition device with automobile production technology, technical loopholes are still being revealed. This is the process of creating a more complete autonomous vehicle, but it should never happen frequently. This paper has experimented and studied the application of sound information to autonomous vehicle technology. It is a sound information recognition technology that uses sound data as information different from sonar equipment using sound waves. sound information technology captures the realization of sound into big data, recognizes the environment by sound, and captures the movement of sound. Each sound entity has its own unique frequency, and the sound environment produced by the sound entitles is important information, and sensing the movement of sound entities may help to complete autonomous vehicles. © International Research Publication House.

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