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Accurate outdoor ground truth based on total stations

机译:基于总站的户外地面真相准确

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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.
机译:在机器人学中,准确的地面真理位置促进了通过创建基石数据集的映射和本地化算法的开发。在室外环境中,长距离,总站是此目的最准确和精确的测量仪器。由于使用单棱镜跟踪方法,文献中的基于总基的基于电台的系统限制为三个自由度(DOF)。在本文中,我们提出了测量车辆全部姿势的初步工作,将参考系统带到六个DOF。三个总站用于实时跟踪三个附着在目标平台上的棱镜。我们描述了引用系统的结构和使用该系统获取地面真理的协议。我们在各种不同的户外环境中评估了精度,从开阔天空到森林路径,并将该系统与另一个流行的参考位置,实时运动学(RTK)定位解决方案进行比较。结果表明,我们的方法是最精确的,达到10毫米和0.6°的平均位置误差。这种性能差异在全球导航卫星系统(GNSS)信号可能由于过度植被而越来越弱的环境中特别呈现。

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