3D Pose Estimation and Tracking of an Electricity Pylon

Emmanuel Y. Ali,Fred Nicolls

2020 INTERNATIONAL SAUPEC/ROBMECH/PRASA CONFERENCE(2020)

引用 0|浏览1
暂无评分
摘要
We demonstrate an algorithm for estimating the 6 degree-of-freedom pose of a textureless object such as a power pylon. The method is designed to be part of the inspection process for a transmission line. The approach involves three steps, namely predicting the vertices of the pylon with a neural network, establishing the correspondence between vertices with hashing techniques, and incrementally tracking the movement of the camera. We built a pylon model for the experiments and used it to generate our dataset.
更多
查看译文
关键词
3D Object detection, Pose estimation, Transmission line inspection, Tracking
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要