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The overall process contributes to the robot\u2019s more accurate understanding of its environment; thus, enabling it to navigate with greater efficiency and effectiveness. In addition, the newly implemented HoloSLAM offers the option to guide the robot to a specific location eliminating the need for explicit navigation instructions. The open-source framework proposed in this paper can benefit the robotics community by providing a more reliable, realistic, and robust mapping solution. The experiments show that the Ellipsoidal-HoloSLAM system is accurate and effectively overcomes the limitations of conventional Ellipsoidal-SLAMs, providing a more precise and detailed mapping of the robot\u2019s environment.<\/jats:p>","DOI":"10.1007\/s40747-024-01367-6","type":"journal-article","created":{"date-parts":[[2024,3,4]],"date-time":"2024-03-04T08:02:52Z","timestamp":1709539372000},"page":"4175-4200","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["HoloSLAM: a novel approach to virtual landmark-based SLAM for indoor environments"],"prefix":"10.1007","volume":"10","author":[{"given":"Elfituri S.","family":"Lahemer","sequence":"first","affiliation":[]},{"given":"Ahmad","family":"Rad","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,3,4]]},"reference":[{"key":"1367_CR1","doi-asserted-by":"publisher","DOI":"10.3390\/app9102105","author":"G Jiang","year":"2019","unstructured":"Jiang G, Yin L, Jin S, Tian C, Ma X, Ou Y (2019) A simultaneous localization and mapping (SLAM) framework for 2.5D map building based on low-cost LiDAR and vision fusion. 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