The effectiveness of an AR-based context-aware assembly support system in object assembly
The effectiveness of an AR-based context-aware assembly support system in object assembly
复制标题
DOI：
10.1109/vr.2014.6802051
复制
发表时间：
2014-04
期刊：
影响因子：
--
通讯作者：
Bui Minh Khuong;K. Kiyokawa;Andrew Miller;Joseph J. La Viola;T. Mashita;H. Takemura
中科院分区：
文献类型：
--
作者：
Bui Minh Khuong;K. Kiyokawa;Andrew Miller;Joseph J. La Viola;T. Mashita;H. Takemura
本研究评估了基于AR的上下文感知装配支持系统的有效性，该系统采用AR可视化模式在对象装配中提出。尽管已经提出了许多基于ar的装配支持系统，但很少有系统能够实时跟踪装配状态并自动识别每一步的错误和完成状态。当然，这种环境感知系统的有效性仍未得到探索。我们的测试平台系统显示相应的引导信息和错误检测信息，以识别装配状态在积木（乐高）组装的背景下。用户戴上头戴式显示器（HMD），可以直观地在桌子上构建积木结构，通过视觉确认正确和不正确的积木，并确定新积木的附着位置。我们提出了两种AR可视化模式，一种是直接叠加在物理模型上显示制导信息，另一种是在与真实模型相邻的虚拟模型上呈现制导信息。对这些AR可视化模式进行了比较评估，并确定了上下文感知错误检测的有效性。实验结果表明，在中等配准精度和基于标记的跟踪条件下，将目标状态显示在实际关注对象旁边的可视化模式优于传统的直接叠加。
This study evaluates the effectiveness of an AR-based context-aware assembly support system with AR visualization modes proposed in object assembly. Although many AR-based assembly support systems have been proposed, few keep track of the assembly status in real-time and automatically recognize error and completion states at each step. Naturally, the effectiveness of such context-aware systems remains unexplored. Our test-bed system displays guidance information and error detection information corresponding to the recognized assembly status in the context of building block (LEGO) assembly. A user wearing a head mounted display (HMD) can intuitively build a building block structure on a table by visually confirming correct and incorrect blocks and locating where to attach new blocks. We proposed two AR visualization modes, one of them that displays guidance information directly overlaid on the physical model, and another one in which guidance information is rendered on a virtual model adjacent to the real model. An evaluation was conducted to comparatively evaluate these AR visualization modes as well as determine the effectiveness of context-aware error detection. Our experimental results indicate the visualization mode that shows target status next to real objects of concern outperforms the traditional direct overlay under moderate registration accuracy and marker-based tracking.