研究目的
To describe the design, development, and testing of an AR system for aerospace and ground vehicles that meets stringent accuracy and robustness requirements, focusing on the optical/inertial hybrid tracking system and novel solutions to challenges with optics, algorithms, synchronization, and alignment.
研究成果
The paper presents a novel AR system for use in moving vehicles that meets all its performance targets. The system has been verified through simulations, car testing, and is undergoing flight test programs. The auto-harmonization algorithm and covariance-based analysis of line-of-sight registration error provide new approaches to error budgeting for AR systems.
研究不足
The system's performance is dependent on the accuracy of the GPS/INS unit and the alignment of the fiducial constellation with the vehicle's inertial navigation system. The need for precise calibration and alignment may limit the system's ease of deployment in some vehicles.
1:Experimental Design and Method Selection:
The system uses an optical see-through HMD with an optical/inertial hybrid tracking system. Novel solutions address challenges in optics, algorithms, synchronization, and alignment.
2:Sample Selection and Data Sources:
The system was tested in a car to create a through-the-eyepiece video demonstrating augmentations of the road and nearby structures.
3:List of Experimental Equipment and Materials:
Optical see-through HMD, inertial measurement unit (IMU), GPS/INS unit, retro-reflective fiducial stickers, and a webcam for video capture.
4:Experimental Procedures and Operational Workflow:
The system was tested in a moving vehicle to validate the tracking accuracy and registration of augmentations. A through-the-HMD video was recorded to demonstrate the system's performance.
5:Data Analysis Methods:
A detailed covariance analysis of AR registration error was conducted, including simulation results to predict registration accuracy.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容