{"title":"自动路径规划仿真","authors":"J. Martí, C. Bunn","doi":"10.1109/AIHAS.1994.390492","DOIUrl":null,"url":null,"abstract":"Automated route planning over digital synthetic terrain is of importance to systems involving simulated human entities. Using a route planner whose sole criteria is minimizing distance and elevation change, we analyze the effects of terrain resolution on path quality, and compare human and computer generated paths. We conclude that with some measures, the computer generated route plans are reasonably difficult to distinguish from human generated plans.<<ETX>>","PeriodicalId":339028,"journal":{"name":"Fifth Annual Conference on AI, and Planning in High Autonomy Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Automated path planning for simulation\",\"authors\":\"J. Martí, C. Bunn\",\"doi\":\"10.1109/AIHAS.1994.390492\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automated route planning over digital synthetic terrain is of importance to systems involving simulated human entities. Using a route planner whose sole criteria is minimizing distance and elevation change, we analyze the effects of terrain resolution on path quality, and compare human and computer generated paths. We conclude that with some measures, the computer generated route plans are reasonably difficult to distinguish from human generated plans.<<ETX>>\",\"PeriodicalId\":339028,\"journal\":{\"name\":\"Fifth Annual Conference on AI, and Planning in High Autonomy Systems\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"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.1994.390492\",\"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.1994.390492","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automated route planning over digital synthetic terrain is of importance to systems involving simulated human entities. Using a route planner whose sole criteria is minimizing distance and elevation change, we analyze the effects of terrain resolution on path quality, and compare human and computer generated paths. We conclude that with some measures, the computer generated route plans are reasonably difficult to distinguish from human generated plans.<>
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