Research on the Application of Visual Navigation Technology in Inspection Robots for Power High-voltage Lines
This article focuses on the application of visual navigation technology in power high-voltage line inspection robots.It elaborates on the research background and objectives;analyzes the principles of visual navigation technology and related theoretical support,including image acquisition,processing techniques,and the application of machine learning and deep learning;dissects the current development status of visual navigation technology at home and abroad,as well as the advantages and disadvantages of mainstream navigation methods;deeply discusses key aspects of visual navigation technology,such as target detection and localization,and binocular stereo vision positioning;proposes methods to improve the accuracy of visual navigation,including strategies for enhancing localization accuracy and practices of high-precision navigation methods;introduces the application of visual navigation technology in intelligent inspection robots,unmanned aerial vehicles(UAVs),and robots in substations;and finally summarizes the research conclusions and provides an outlook on future research directions,such as the integration of multi-sensor technology,the enhancement of deep learning algorithms,the improvement of autonomous decision-making capabilities,the expansion of application scenarios,and the strengthening of research on reliability and stability.
power high-voltage line inspectionvisual navigation technologytarget detection and localization
NETL
NSTL
万方数据
