M. Idros, A. Razak, S. A. Al Junid, A. Halim, N. Khairudin
{"title":"语音识别系统在自动驾驶汽车自动信号中的应用能力","authors":"M. Idros, A. Razak, S. A. Al Junid, A. Halim, N. Khairudin","doi":"10.1109/ICSIMA.2018.8688755","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":222751,"journal":{"name":"2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Capability of Voice Recognition System for Automatic Signal in Autonomous Vehicle (AV) Application\",\"authors\":\"M. Idros, A. Razak, S. A. Al Junid, A. Halim, N. Khairudin\",\"doi\":\"10.1109/ICSIMA.2018.8688755\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":222751,\"journal\":{\"name\":\"2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSIMA.2018.8688755\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 5th International Conference on Smart Instrumentation, Measurement and Application (ICSIMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIMA.2018.8688755","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Capability of Voice Recognition System for Automatic Signal in Autonomous Vehicle (AV) Application
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.