与动态物体合作确定图像方向

IF 2.1 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
Philipp Trusheim, Max Mehltretter, Franz Rottensteiner, Christian Heipke
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引用次数: 0

摘要

利用图像来补充纯粹基于全球导航卫星系统(GNSS)的传统导航解决方案,有可能解决建筑密集地区的问题。这些方法通常假设环境是静态的,但这一假设在城市地区并不一定成立。因此,许多方法都会在第一步处理过程中删除来自移动物体的信息,但这会导致信息丢失。在本文中,我们提出了一种基于图像序列检测所谓动态物体并建立模型的方法,并将这些物体模型纳入捆绑调整。我们区分了向他人提供自身位置信息的动态物体(合作物体)和不提供位置信息的动态物体(非合作物体)。借助传感器观察环境以确定自身位置的动态物体被称为观察物体。在本文讨论的实验中,观测物体配备了一个立体摄像机和一个全球导航卫星系统接收器。我们的研究表明,合作对象在进行捆绑调整后,无论在精度还是准确度方面,都能对观测对象的外部方位产生积极影响。然而,我们发现,引入非合作对象并不会带来进一步的改进,这可能是因为在我们的案例中,由于静态连接点数量多且分布均匀,因此在没有这些对象的情况下,摄影测量块已经很稳定了。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Cooperative Image Orientation with Dynamic Objects

Cooperative Image Orientation with Dynamic Objects

Using images to supplement classical navigation solutions purely based on global navigation satellite systems (GNSSs) has the potential to overcome problems in densely built-up areas. These approaches usually assume a static environment; however, this assumption is not necessarily valid in urban areas. Therefore, many approaches delete information stemming from moving objects in a first processing step, but this results in information being lost. In this paper, we present an approach that detects and models so-called dynamic objects based on image sequences and includes these object models into a bundle adjustment. We distinguish dynamic objects that provide information about their position to others (cooperating objects) and those that do not (non-cooperating objects). Dynamic objects that observe the environment with the help of sensors in order to determine their position are called observing objects. In the experiments discussed here, the observing object is equipped with a stereo camera and a GNSS receiver. We show that cooperating objects can have a positive effect on the exterior orientation of the observing object after the bundle adjustment, both in terms of precision and accuracy. However, we found that introducing non-cooperating objects did not result in further improvements, probably because in our case the photogrammetric block was already stable without them due to the large number and good distribution of static tie points.

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来源期刊
CiteScore
8.20
自引率
2.40%
发文量
38
期刊介绍: PFG is an international scholarly journal covering the progress and application of photogrammetric methods, remote sensing technology and the interconnected field of geoinformation science. It places special editorial emphasis on the communication of new methodologies in data acquisition and new approaches to optimized processing and interpretation of all types of data which were acquired by photogrammetric methods, remote sensing, image processing and the computer-aided interpretation of such data in general. The journal hence addresses both researchers and students of these disciplines at academic institutions and universities as well as the downstream users in both the private sector and public administration. Founded in 1926 under the former name Bildmessung und Luftbildwesen, PFG is worldwide the oldest journal on photogrammetry. It is the official journal of the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF).
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