原文传递
Sensor Data Fusion Framework to Improve Holographic Object Registration Accuracy for a Shared Augmented Reality Mission Planning Scenario.
| 题名： | Sensor Data Fusion Framework to Improve Holographic Object Registration Accuracy for a Shared Augmented Reality Mission Planning Scenario. |
| 作者： | Su, S.; Kase, S. |
| 关键词： | Augmented reality, Data fusion, Virtual reality, Simulations, Sensor fusion, Data visualization, Mixed reality, Scenarios, Collaborative mission planning, 3-d user interface, Hvt(high value target), Hololens equipment |
| 摘要： | Accurate 3-D holographic object registration for a shared augmented reality application is a challenging proposition with Microsoft HoloLens. We investigated using a sensor data fusion framework, which uses both sensor data from an external positional tracking system and the Microsoft HoloLens to reduce augmented reality registration errors. In our setup, positional tracking data from the OptiTrack motion capture system was used to improve the registration of the 3-D holographic object for a shared augmented reality application running on three Microsoft HoloLens displays. We showed an improved and more accurate 3-D holographic object registration in our shared augmented reality application compared to the shared augmented reality application using Holo Toolkit Sharing Service released by Microsoft. The result of our comparative study of the two applications also showed participants responses consistent with our initial assessment on the improved registration accuracy using our sensor data fusion framework. Using our sensor data fusion framework, we developed a shared augmented reality application to support a mission planning scenario using multiple holographic displays to illustrate details of the mission. |
| 报告类型： | 科技报告 |
相关文献
- Distributed Autonomous Control Action Based on Sensor and Mission Fusion
- Using Virtual Reality to Envision Deployment of Spacesuit-Compatible Augmented Reality Displays for Lunar Surface Operations.
- Software Framework for Image Retrieval and Visual Understanding in Dynamic and Sensor Rich Environments.
- Augmented REality Sandtable’s (ARES’s) Impact on Learning.
- Efficiency And Precision Experimentation For Augmented Reality Cued Maintenance Action.
- Improving Automated Aerial Refueling Stereo Vision Pose Estimation Using A Shelled Reference Model.
检索历史
应用推荐
