In terms of 3D visual navigation,the feature point-based 3D navigation technology was the first to be applied.Under the condition of good lighting conditions,it has been able to realize the automatic navigation operation of the robot within a certain range.Through global optimization and loopback processing,the quality of 3D modeling can be improved,the positioning accuracy can be improved,and the robustness of robots under different ambient lighting conditions can be improved through artificial intelligence methods.This will be the direction of visual navigation technology development.
在3D视觉导航方面,基于特征点的3D导航技术最早得到应用,在光照条件比较好的情况下,已能够在一定范围内实现机器人的自动导航运行。通过全局优化和回环处理,改善3D建模的质量,提高定位精度,通过人工智能方法提高机器人在不同环境光照条件下的鲁棒性,这将是视觉导航技术发展的方向。
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