A. Mishra, Jinhyuk Kim, Dohyun Kim, J. Cha, Shiho Kim
{"title":"全自动驾驶汽车的智能舱内监控系统","authors":"A. Mishra, Jinhyuk Kim, Dohyun Kim, J. Cha, Shiho Kim","doi":"10.1109/ISOCC50952.2020.9333062","DOIUrl":null,"url":null,"abstract":"Absence of human driver inside fully autonomous vehicle (FAV) essentially requires monitoring the in-cabin of such transportation systems. Although, previous researchers claimed inside monitoring of vehicle. However, mostly they have performed diver status monitoring. It is quite insufficient for FAV, and proper in-cabin monitoring is an essential demand to ensure safety and security to both, human and vehicle. In this paper, we have proposed a single artificial intelligence (AI) based camera to monitor and understand in-cabin occupants and their behaviors. Further, requirements of monitoring inside the vehicle cabin has been showcased and various irregular situations have demonstrated which should be considered to provide safe and secure ride to the occupants. Furthermore, we have developed our own database due to very few availabilities of such used cases and dataset. It is to facilitate more research in this domain.","PeriodicalId":270577,"journal":{"name":"2020 International SoC Design Conference (ISOCC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An Intelligent In-cabin Monitoring System in Fully Autonomous Vehicles\",\"authors\":\"A. Mishra, Jinhyuk Kim, Dohyun Kim, J. Cha, Shiho Kim\",\"doi\":\"10.1109/ISOCC50952.2020.9333062\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Absence of human driver inside fully autonomous vehicle (FAV) essentially requires monitoring the in-cabin of such transportation systems. Although, previous researchers claimed inside monitoring of vehicle. However, mostly they have performed diver status monitoring. It is quite insufficient for FAV, and proper in-cabin monitoring is an essential demand to ensure safety and security to both, human and vehicle. In this paper, we have proposed a single artificial intelligence (AI) based camera to monitor and understand in-cabin occupants and their behaviors. Further, requirements of monitoring inside the vehicle cabin has been showcased and various irregular situations have demonstrated which should be considered to provide safe and secure ride to the occupants. Furthermore, we have developed our own database due to very few availabilities of such used cases and dataset. It is to facilitate more research in this domain.\",\"PeriodicalId\":270577,\"journal\":{\"name\":\"2020 International SoC Design Conference (ISOCC)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International SoC Design Conference (ISOCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISOCC50952.2020.9333062\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International SoC Design Conference (ISOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISOCC50952.2020.9333062","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Intelligent In-cabin Monitoring System in Fully Autonomous Vehicles
Absence of human driver inside fully autonomous vehicle (FAV) essentially requires monitoring the in-cabin of such transportation systems. Although, previous researchers claimed inside monitoring of vehicle. However, mostly they have performed diver status monitoring. It is quite insufficient for FAV, and proper in-cabin monitoring is an essential demand to ensure safety and security to both, human and vehicle. In this paper, we have proposed a single artificial intelligence (AI) based camera to monitor and understand in-cabin occupants and their behaviors. Further, requirements of monitoring inside the vehicle cabin has been showcased and various irregular situations have demonstrated which should be considered to provide safe and secure ride to the occupants. Furthermore, we have developed our own database due to very few availabilities of such used cases and dataset. It is to facilitate more research in this domain.