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Capability of Voice Recognition System for Automatic Signal in Autonomous Vehicle (AV) Application

机译:自动驾驶汽车中自动信号语音识别系统的功能

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Nowadays, many accident occurred due to the carelessness of peoples to turn on the signal at the junction or before change direction. Ministry of Road Transport Malaysia Transport reported that 512,466 accidents were recorded in 2016 which 22 deaths per 100,000 accidents. In order to decrease the number of accidents cause by carelessness people, there is need of communication between automobiles and voice recognition device to make the vehicle make their turn light functional automatically. This project could be achieved with the help of the Raspberry Pi and Google Assistant. This Raspberry Pi are brain of the project that is control the signal and accept the voice input from Waze Navigation then it will be process by Google Assistant to produce the text output to compared with the programmed instruction by using Python script. In this project the objective is to make an automatic signal by using the voice command by the Waze navigation or Google Maps navigation and to study the consistency of detection of word by Google Assistant. This project also involved the study of the delay time of the Raspberry Pi to trigger the output. The Raspberry Pi is the main board for the processing to get the output text from the Google Assistant and it will be compare to the Python script to conduct and automatic vehicle signal by voice. The Raspberry Pi must always connect to the internet to make this project to be fully functioning.
机译:如今,由于人们不小心在路口或转向之前打开信号而发生了许多事故。马来西亚道路运输部报告,2016年记录了512,466起事故,每100,000起事故中有22人死亡。为了减少由粗心大意的人引起的事故的数量,需要在汽车和语音识别装置之间进行通信以使车辆自动地使其转向灯起作用。该项目可以在Raspberry Pi和Google Assistant的帮助下完成。这款Raspberry Pi是该项目的大脑,该项目控制信号并接受位智导航的语音输入,然后由Google Assistant处理,以生成文本输出,并与使用Python脚本的编程指令进行比较。在此项目中,目标是通过Waze导航或Google Maps导航使用语音命令来发出自动信号,并研究Google Assistant对单词检测的一致性。该项目还涉及对Raspberry Pi触发输出的延迟时间的研究。 Raspberry Pi是用于处理从Google Assistant获取输出文本的主板,它将与Python脚本进行比较,以通过语音进行自动车辆信号传递。 Raspberry Pi必须始终连接到Internet才能使该项目正常运行。

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