Takafumi Kawasaki, M. Kawano, Takeshi Iwamoto, M. Matsumoto, Takuro Yonezawa, J. Nakazawa, H. Tokuda
{"title":"损伤检测器:利用公共车辆和摄像头对车厢线路进行损伤自动检测","authors":"Takafumi Kawasaki, M. Kawano, Takeshi Iwamoto, M. Matsumoto, Takuro Yonezawa, J. Nakazawa, H. Tokuda","doi":"10.1145/3004010.3004017","DOIUrl":null,"url":null,"abstract":"In Japan, there are 1.2milion kilometers or more of the road, of which 900,000 km of road has been paved. Paved road has been painted compartment line to separate many vehicles and driver-pedestrian. Compartment line is important for drivers and pedestrians because they can recognize for they are aware of the width of the roadway and the sidewalk by the compartment line. Therefore, municipality should inspect the ongoing compartment line but they are inspected by people so the burden for road management is big. The purpose of this research would be to automatically detect the damage of the compartment line. The image obtained from cameras, applying random forest. In this experiment, we used more than about 50,000 of images by capturing a Walking camera and a vehicle-mounted camera. Baseline and precision comparison result, the detection of damage to compartment line, it was confirmed that the proposed method is effective.","PeriodicalId":406787,"journal":{"name":"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Damage Detector: The Damage Automatic Detection of Compartment Lines Using A Public Vehicle and A Camera\",\"authors\":\"Takafumi Kawasaki, M. Kawano, Takeshi Iwamoto, M. Matsumoto, Takuro Yonezawa, J. Nakazawa, H. Tokuda\",\"doi\":\"10.1145/3004010.3004017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In Japan, there are 1.2milion kilometers or more of the road, of which 900,000 km of road has been paved. Paved road has been painted compartment line to separate many vehicles and driver-pedestrian. Compartment line is important for drivers and pedestrians because they can recognize for they are aware of the width of the roadway and the sidewalk by the compartment line. Therefore, municipality should inspect the ongoing compartment line but they are inspected by people so the burden for road management is big. The purpose of this research would be to automatically detect the damage of the compartment line. The image obtained from cameras, applying random forest. In this experiment, we used more than about 50,000 of images by capturing a Walking camera and a vehicle-mounted camera. Baseline and precision comparison result, the detection of damage to compartment line, it was confirmed that the proposed method is effective.\",\"PeriodicalId\":406787,\"journal\":{\"name\":\"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-11-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3004010.3004017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3004010.3004017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Damage Detector: The Damage Automatic Detection of Compartment Lines Using A Public Vehicle and A Camera
In Japan, there are 1.2milion kilometers or more of the road, of which 900,000 km of road has been paved. Paved road has been painted compartment line to separate many vehicles and driver-pedestrian. Compartment line is important for drivers and pedestrians because they can recognize for they are aware of the width of the roadway and the sidewalk by the compartment line. Therefore, municipality should inspect the ongoing compartment line but they are inspected by people so the burden for road management is big. The purpose of this research would be to automatically detect the damage of the compartment line. The image obtained from cameras, applying random forest. In this experiment, we used more than about 50,000 of images by capturing a Walking camera and a vehicle-mounted camera. Baseline and precision comparison result, the detection of damage to compartment line, it was confirmed that the proposed method is effective.