| id |
caadria2019_332 |
| authors |
Dwivedi, Urvashi, Porcellini, Valentin, Hong, Sukjoo, Chang, Zhuming and Lee, Ji-Hyun |
| year |
2019 |
| title |
Computing Spatial Features to Allocate Collision-free Motion-paths for Tele-presence Avatars |
| source |
M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 245-254 |
| doi |
https://doi.org/10.52842/conf.caadria.2019.1.245
|
| summary |
Recently, indoor-intelligent services like "Tele-presence" have made quite an advancement. Therefore, to completely 1) understand the diverse indoor environment, 2) efficiently calculate similarity for semantic spaces and 3) for defining an efficient path movement for an augmented reality-based Avatar; we propose spatial features computation, graphical representation and Topology-based graph-similarity measure for complex domains to overcome the limited visibility of an Avatar. Thus, collision with the surrounding objects in a given indoor-space can be avoided. This study begins by securing spatial features of objects, e.g., furniture, doorways, etc., of an indoor environment from an FBSMAP (Function-Behaviour-Structure Map). Then, we establish a method for defining similarity for locations and paths. |
| keywords |
Tele-presence Avatar; Activity space; Topology; Spatial similarity; Similarity measure; Cell; Field of view. |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (5,643,563 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:55 |
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