2013
DOI: 10.1016/j.sbspro.2013.10.284
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Orientation Control for Indoor Virtual Landmarks based on Hybrid-based Markerless Augmented Reality

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Cited by 13 publications
(6 citation statements)
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“…This descriptor can be trained using bootstrapping training method [96]. SLAM is conceptualized in robotics based on the idea that it is possible for a mobile robot to move in a completely unknown environment while mapping and localizing simultaneously [97,123]. Consider a mobile robot in an environment with a sensor to take relative observations of some unknown landmarks.…”
Section: No-model-based Trackingmentioning
confidence: 99%
See 1 more Smart Citation
“…This descriptor can be trained using bootstrapping training method [96]. SLAM is conceptualized in robotics based on the idea that it is possible for a mobile robot to move in a completely unknown environment while mapping and localizing simultaneously [97,123]. Consider a mobile robot in an environment with a sensor to take relative observations of some unknown landmarks.…”
Section: No-model-based Trackingmentioning
confidence: 99%
“…The accuracy issue is more relevant in outdoor environments with long baselines because this accumulates errors based on frame flow [97]. One way to address this issue is to introduce geo-referenced information to the algorithm.…”
Section: No-model-based Trackingmentioning
confidence: 99%
“…Augmented reality adalah teknologi yang menggabungkan benda maya dua dimensi dan ataupun tiga dimensi ke dalam sebuah lingkungan nyata [4] [5]. Dari penelitian terdahulu, 3D Object yang ditampilkan tidak mempaparkan penjelasan berupa teks [6].…”
Section: Abstrakunclassified
“…A new technology called augmented reality, which places an interactive 3D object model over the real world, may be experienced with the aid of the Oculus, not while using a camera [1]. The main benefit of adding this layer is to give the physical environment more significance by enabling the user to see, hear, smell, and feel the virtual 3D representations that are heavily incorporated into it [2].…”
Section: Introductionmentioning
confidence: 99%