摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑新闻-调查人员讨论机器人学的新发现-机器人学和自动化。据新闻报道来自联合王国爱丁堡的报道，由NewsRx记者报道，研究称，“这封信提出了一个新的评价视觉里程和SLAM方法的基准数据集。Co与主要提供原始图像的现有公共数据集相比，开放式结构可提供直接访问点和线测量、对应关系、结构关联和共同能见度因子图，它可以馈送到SLAM管道的各个阶段，以减轻数据预处理模块的影响消融实验》。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in Robotics - Robotics and Automation. According to newsreporting from Edinburgh, United King dom, by NewsRx journalists, research stated, “This letter presentsOpen-Structur e, a novel benchmark dataset for evaluating visual odometry and SLAM methods. Compared to existing public datasets that primarily offer raw images, Open-Structu re provides direct accessto point and line measurements, correspondences, struc tural associations, and co-visibility factor graphs,which can be fed to various stages of SLAM pipelines to mitigate the impact of data preprocessing modulesi n ablation experiments.”
NETL
NSTL