{"title":"CCTT动态环境下的地形推理挑战","authors":"C. Campbell, G. McCulley","doi":"10.1109/AIHAS.1994.390500","DOIUrl":null,"url":null,"abstract":"The desire for realism in simulation is obvious. It follows that the more realistic the simulation environment, the more effective the training. A dynamic environment, in which man-made structures can be damaged, excavations are possible, and environmental conditions can change is an aspect of simulated training attracting much attention. However full implementation of a dynamic environment in a large scale simulation is not yet feasible. CCTT (Closed Combat Tactical Trainer) is taking the first step toward creating a dynamic environment in a production simulation system by allowing limited dynamic modifications to the static terrain database and environment. This paper details some of the challenges for terrain reasoning when implementing dynamic terrain, and explains the proposed approaches to solve them in CCTT's real-time networked environment.<<ETX>>","PeriodicalId":339028,"journal":{"name":"Fifth Annual Conference on AI, and Planning in High Autonomy Systems","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Terrain reasoning challenges in the CCTT dynamic environment\",\"authors\":\"C. Campbell, G. McCulley\",\"doi\":\"10.1109/AIHAS.1994.390500\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The desire for realism in simulation is obvious. It follows that the more realistic the simulation environment, the more effective the training. A dynamic environment, in which man-made structures can be damaged, excavations are possible, and environmental conditions can change is an aspect of simulated training attracting much attention. However full implementation of a dynamic environment in a large scale simulation is not yet feasible. CCTT (Closed Combat Tactical Trainer) is taking the first step toward creating a dynamic environment in a production simulation system by allowing limited dynamic modifications to the static terrain database and environment. This paper details some of the challenges for terrain reasoning when implementing dynamic terrain, and explains the proposed approaches to solve them in CCTT's real-time networked environment.<<ETX>>\",\"PeriodicalId\":339028,\"journal\":{\"name\":\"Fifth Annual Conference on AI, and Planning in High Autonomy Systems\",\"volume\":\"65 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.1994.390500\",\"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.1994.390500","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Terrain reasoning challenges in the CCTT dynamic environment
The desire for realism in simulation is obvious. It follows that the more realistic the simulation environment, the more effective the training. A dynamic environment, in which man-made structures can be damaged, excavations are possible, and environmental conditions can change is an aspect of simulated training attracting much attention. However full implementation of a dynamic environment in a large scale simulation is not yet feasible. CCTT (Closed Combat Tactical Trainer) is taking the first step toward creating a dynamic environment in a production simulation system by allowing limited dynamic modifications to the static terrain database and environment. This paper details some of the challenges for terrain reasoning when implementing dynamic terrain, and explains the proposed approaches to solve them in CCTT's real-time networked environment.<>