{"title":"无人采矿车在崎岖地形上的节能越野导航","authors":"A. Savkin, S. Verma, Siyuan Li","doi":"10.1109/ANZCC59813.2024.10432796","DOIUrl":null,"url":null,"abstract":"This paper presents a solution to the complex challenge of optimizing the navigation of unmanned mining trucks across challenging terrain. The primary goal is to minimize fuel consumption while ensuring safety by avoiding designated hazard zones. The developed algorithm efficiently calculates an optimal path for the truck by considering both the terrain’s geometric characteristics and safety constraints. Importantly, this research rigorously proves the global optimality of the proposed navigation algorithm. Our work contributes to enhancing the efficiency and safety of autonomous mining operations.","PeriodicalId":518506,"journal":{"name":"2024 Australian & New Zealand Control Conference (ANZCC)","volume":"1217 34","pages":"98-102"},"PeriodicalIF":0.0000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Energy-Efficient Off-Road Navigation of an Unmanned Mining Truck on a Rough Terrain\",\"authors\":\"A. Savkin, S. Verma, Siyuan Li\",\"doi\":\"10.1109/ANZCC59813.2024.10432796\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a solution to the complex challenge of optimizing the navigation of unmanned mining trucks across challenging terrain. The primary goal is to minimize fuel consumption while ensuring safety by avoiding designated hazard zones. The developed algorithm efficiently calculates an optimal path for the truck by considering both the terrain’s geometric characteristics and safety constraints. Importantly, this research rigorously proves the global optimality of the proposed navigation algorithm. Our work contributes to enhancing the efficiency and safety of autonomous mining operations.\",\"PeriodicalId\":518506,\"journal\":{\"name\":\"2024 Australian & New Zealand Control Conference (ANZCC)\",\"volume\":\"1217 34\",\"pages\":\"98-102\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2024 Australian & New Zealand Control Conference (ANZCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANZCC59813.2024.10432796\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2024 Australian & New Zealand Control Conference (ANZCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANZCC59813.2024.10432796","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy-Efficient Off-Road Navigation of an Unmanned Mining Truck on a Rough Terrain
This paper presents a solution to the complex challenge of optimizing the navigation of unmanned mining trucks across challenging terrain. The primary goal is to minimize fuel consumption while ensuring safety by avoiding designated hazard zones. The developed algorithm efficiently calculates an optimal path for the truck by considering both the terrain’s geometric characteristics and safety constraints. Importantly, this research rigorously proves the global optimality of the proposed navigation algorithm. Our work contributes to enhancing the efficiency and safety of autonomous mining operations.