遥操作
计算机科学
计算机视觉
虚拟现实
人工智能
覆盖
特征(语言学)
计算机图形学(图像)
机器人
语言学
哲学
程序设计语言
作者
Yongqing Fu,Weiyang Lin,Junsong Huang,Huijun Gao
摘要
Abstract A virtual reality (VR) fusion technology of matching a virtual environment of simulated graphics models with actual camera views of the slave station task environment has been developed. This fusion technology enables high‐fidelity predictive displays with calibrated graphics overlay on the live video. Reliable and accurate parameters are achieved by camera calibration and feature point detection. Since the object pose becomes known through the virtual model, the operator can use the teleoperation system effectively. Predictive displays are very useful for both noncontact and contact tasks, providing an effective VR interface with immediate visual prediction to the operator. Besides, the feature points detection avoids the exacerbation of maneuverability caused by outside interference. Lastly, the experiment of endoscopic penetration is conducted to validate the system.
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