Spatially Mapping Smart Objects within AR Scenes
- 总结
- Researchers at Purdue University have developed an AR system called Scenariot, a fast estimation of the 3D locations of smart things that exploits the spatial relationships for location aware interactions. Using the system, a user can survey the surrounding environment while moving and instantly approximate the location of the IoT devices with an accuracy of ~0.4 meters even if a device is not in the camera's local field of view.
- 技术优势
- Estimate 3D locations of distributed smart thingsRapidly map and interact with smart things in AR scenesAccuracy of ~0.4m
- 技术应用
- Augmented RealityIoT DevicesApplications demonstrating usage of proposed technology
- 详细技术说明
- Karthik RamaniC Design LabPurdue Mechanical Engineering
- *Abstract
-
None
- *Background
- As a novel interface which bridges the real and the digital, Augmented Reality (AR) has become a promising surrogate for interacting with proliferating smart things. Users are exposed to the functionalities of several devices to make up a smart environment. The key part of interacting with a smart environment in mobile AR is mapping of the smart objects globally, i.e., knowing where the smart things are located in the AR scene. Simple scene augmentation, multi-view object detection, and pose estimation have been achieved by detecting the objects in a camera's local view. But, there has been little to no direction in enabling AR interaction with the surrounding smart environment as a whole ecology.
- *IP Issue Date
- None
- *IP Type
- Provisional
- *Stage of Development
- Process Validation in Lab
- *Web Links
- Purdue Office of Technology CommercializationPurdue Innovation and EntrepreneurshipKarthik RamaniC Design LabPurdue Mechanical Engineering
- 国家
- United States
- 申请号码
- None
- 国家/地区
- 美国
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