{"title":"CCTT地形推理数据库的设计","authors":"J. Watkins, M. Provost","doi":"10.1109/AIHAS.1994.390499","DOIUrl":null,"url":null,"abstract":"Terrain reasoning in computer generated force (CGF) systems has traditionally been very expensive both in terms of time and space. Discussion of terrain reasoning concepts often focuses on algorithms, but the storage scheme for terrain data can also have a significant impact on performance. A number of challenges face CGF systems in this area including trading fidelity for performance, making efficient use of available memory, and data correlation with the visual display supplied to the man in the loop. The CCTT (Closed Combat Tactical Trainer) terrain reasoning database is built upon existing work and introduces new concepts to address these issues.<<ETX>>","PeriodicalId":339028,"journal":{"name":"Fifth Annual Conference on AI, and Planning in High Autonomy Systems","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Design of terrain reasoning database for CCTT\",\"authors\":\"J. Watkins, M. Provost\",\"doi\":\"10.1109/AIHAS.1994.390499\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Terrain reasoning in computer generated force (CGF) systems has traditionally been very expensive both in terms of time and space. Discussion of terrain reasoning concepts often focuses on algorithms, but the storage scheme for terrain data can also have a significant impact on performance. A number of challenges face CGF systems in this area including trading fidelity for performance, making efficient use of available memory, and data correlation with the visual display supplied to the man in the loop. The CCTT (Closed Combat Tactical Trainer) terrain reasoning database is built upon existing work and introduces new concepts to address these issues.<<ETX>>\",\"PeriodicalId\":339028,\"journal\":{\"name\":\"Fifth Annual Conference on AI, and Planning in High Autonomy Systems\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fifth Annual Conference on AI, and Planning in High Autonomy Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AIHAS.1994.390499\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth Annual Conference on AI, and Planning in High Autonomy Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIHAS.1994.390499","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Terrain reasoning in computer generated force (CGF) systems has traditionally been very expensive both in terms of time and space. Discussion of terrain reasoning concepts often focuses on algorithms, but the storage scheme for terrain data can also have a significant impact on performance. A number of challenges face CGF systems in this area including trading fidelity for performance, making efficient use of available memory, and data correlation with the visual display supplied to the man in the loop. The CCTT (Closed Combat Tactical Trainer) terrain reasoning database is built upon existing work and introduces new concepts to address these issues.<>
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