In robotics, accurate ground-truth position fostered the development of mapping and localization algorithms through the creation of cornerstone datasets. In outdoor environments and over long distances, total stations are the most accurate and precise measurement instruments for this purpose. Most total station-based systems in the literature are limited to three Degrees Of Freedoms (DOFs), due to the use of a single-prism tracking approach. In this paper, we present preliminary work on measuring a full pose of a vehicle, bringing the referencing system to six DOFs. Three total stations are used to track in real time three prisms attached to a target platform. We describe the structure of the referencing system and the protocol for acquiring the ground truth with this system. We evaluated its precision in a variety of different outdoor environments, ranging from open-sky to forest trails, and compare this system with another popular source of reference position, the Real Time Kinematics (RTK) positioning solution. Results show that our approach is the most precise, reaching an average positional error of 10 mm and 0.6 deg. This difference in performance was particularly stark in environments where Global Navigation Satellite System (GNSS) signals can be weaker due to overreaching vegetation.
翻译:在机器人中,准确的地面真相位置通过创建基本数据集促进了绘图和地方化算法的发展。在室外环境和长途中,总站点是用于此目的的最准确和精确的测量工具。文献中大多数基于站点的系统由于使用单一棱柱跟踪方法而限制在三度自由(DOFs)之内。在本文件中,我们介绍了关于测量一个飞行器的完整形状的初步工作,将参照系统带到六个DOFs。三个总站用于实时跟踪附在目标平台上的三个棱镜。我们描述了参照系统的结构以及利用该系统获取地面真相的协议。我们评估了该系统在不同不同的户外环境中的精确度,从开放天空到森林轨迹,并将该系统与另一个流行的参考来源,即实时Kinematics(RTK)定位解决方案进行了比较。结果显示,我们的方法是最精确的,达到了10毫米和0.6 deg的平均定位误差。在全球导航卫星系统(GNSS)信号比较弱的环境中,其性差特别明显。