{"title":"一种融合两种数字道路地图的方法","authors":"Y. Ohsawa, Masako Miyazaki","doi":"10.1109/MMCS.1996.535898","DOIUrl":null,"url":null,"abstract":"The acquisition of digital road maps is essential for automobile navigation. Digital road maps are used in Japan by the Digital Road Map Association (DRMA) based on 1/25,000 map. The digital map, however, is unsuitable for town driving. In this situation a more detailed digital road map is requested by the users. To get a detailed digital road map from a paper map is a very expensive operation. We proposed a new method to obtain a more precise digital road map using a more detailed general purpose digital map which has already been published. However, using this digital map directly for auto-navigation is impossible. The method we propose in this paper obtains more detailed road network data from the 1/10,000 map and from the DRMA data.","PeriodicalId":371043,"journal":{"name":"Proceedings of the Third IEEE International Conference on Multimedia Computing and Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A method to fuse two kinds of digital road maps\",\"authors\":\"Y. Ohsawa, Masako Miyazaki\",\"doi\":\"10.1109/MMCS.1996.535898\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The acquisition of digital road maps is essential for automobile navigation. Digital road maps are used in Japan by the Digital Road Map Association (DRMA) based on 1/25,000 map. The digital map, however, is unsuitable for town driving. In this situation a more detailed digital road map is requested by the users. To get a detailed digital road map from a paper map is a very expensive operation. We proposed a new method to obtain a more precise digital road map using a more detailed general purpose digital map which has already been published. However, using this digital map directly for auto-navigation is impossible. The method we propose in this paper obtains more detailed road network data from the 1/10,000 map and from the DRMA data.\",\"PeriodicalId\":371043,\"journal\":{\"name\":\"Proceedings of the Third IEEE International Conference on Multimedia Computing and Systems\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Third IEEE International Conference on Multimedia Computing and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMCS.1996.535898\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Third IEEE International Conference on Multimedia Computing and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMCS.1996.535898","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The acquisition of digital road maps is essential for automobile navigation. Digital road maps are used in Japan by the Digital Road Map Association (DRMA) based on 1/25,000 map. The digital map, however, is unsuitable for town driving. In this situation a more detailed digital road map is requested by the users. To get a detailed digital road map from a paper map is a very expensive operation. We proposed a new method to obtain a more precise digital road map using a more detailed general purpose digital map which has already been published. However, using this digital map directly for auto-navigation is impossible. The method we propose in this paper obtains more detailed road network data from the 1/10,000 map and from the DRMA data.