Data Processing and Recording Using a Versatile Multi-Sensor Vehicle

Borgmann, Björn; Schatz, Volker; Kieritz, Hilke; Scherer-Klöckling, Clemens; Hebel, Marcus; Arens, Michael

doi:10.5194/isprs-annals-iv-1-21-2018

Cited by 18 publications

(8 citation statements)

References 25 publications

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“…Figure 5). The dataset has been recorded by the measurement vehicle MODISSA of the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB) (Borgmann et al, 2018). The point clouds were recorded using two Velodyne HDL-64E LiDAR sensors mounted at an angle of 25°on the vehicles front roof.…”

Section: Methodsmentioning

confidence: 99%

A Fast Voxel-Based Indicator for Change Detection Using Low Resolution Octrees

Gehrung

Hebel

Arens

et al. 2019

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. This paper proposes a change detection approach that uses a low-resolution octree enhanced with Gaussian kernels to describe free and occupied space. This so-called Gaussian Occupancy Octree is derived from range measurements and used to represent spatial information for a single epoch. Changes between epochs are encoded using a Delta Octree. A qualitative and quantitative evaluation of the proposed approach shows that its advantages are a fast runtime and the ability to make a statement about the re-exploration of space. An evaluation of the classification accuracy shows that our approach tents towards correct classifications with an overall accuracy of 51.5&thinsp;%, but is also systematically biased towards the appearance of occupied space.

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Section: Methodsmentioning

confidence: 99%

A Fast Voxel-Based Indicator for Change Detection Using Low Resolution Octrees

Gehrung

Hebel

Arens

et al. 2019

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

Self Cite

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“…The twenty-second platform reviewed allowed the development and testing of real time methods or high level driver assistance functions. The functionalities were applied in LiDAR-camera pedestrian detection methods [60]. Zhu et al [65] used MODISSA to generate a unified thermal point cloud without the need for RGB images.…”

Section: Mobile Data Acquisition Systemsmentioning

confidence: 99%

Using mobile laser scanner and imagery for urban management applications

González-Barbosa

Flores-Rodrıguez

Ornelas-Rodríguez

et al. 2022

IJRA

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Despite autonomous navigation is one of the most proliferate applications of three-dimensional (3D) point clouds and imagery both techniques can potentially have many other applications. This work explores urban digitization tools applied to 3D geometry to perform urban tasks. We focus exclusively on compiling scientific research that merges mobile laser scanning (MLS) and imagery from vision systems. The major contribution of this review is to show the evolution of MLS combined with imagery in urban applications. We review systems used by public and private organizations to handle urban tasks such as historic preservation, roadside assistance, road infrastructure inventory, and public space study. The work pinpoints the potential and accuracy of data acquisition systems to handled both 3D point clouds and imagery data. We highlight potential future work regarding the detection of urban environment elements and to solve urban problems. This article concludes by discussing the major constraints and struggles of current systems that use MLS combined with imagery to perform urban tasks and to solve urban tasks.

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“…Table 1 Specifications and setup parameters for the MLS system according to the sensor data sheet (Velodyne HDL-64E) and measurement setup (Borgmann et al 2018;Zhu et al 2020) a According to Borgmann et al (2018) For this application, it is important to note that the 2016 campaign took place in April, with vegetation already in full growth and trees having leaves. The 2018 measurements, on the other hand, were taken in December at leafoff state.…”

Section: Tum-mls-2016/2018mentioning

confidence: 99%

Change Detection of Urban Trees in MLS Point Clouds Using Occupancy Grids

Hirt

Hoegner

et al. 2021

PFG

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Trees play an important role in the complex system of urban environments. Their benefits to environment and health are manifold. Yet, especially near streets, the traffic can be impaired by a limited clearance. Even injuries could be caused by breaking tree parts. Hence, it is important to capture the trees in the frame of a tree cadastre and to ensure regular monitoring. Mobile laser scanning (MLS) can be used for data acquisition, followed by an automated analysis of the point clouds acquired over time. The presented approach uses occupancy grids with a grid size of 10 cm, which enable the comparison of several epochs in three-dimensional space. Prior to that, a segmentation of single tree objects is conducted. After cylinder-based trunk localisation, closely neighboured tree crowns are separated using weights derived from local point densities. Therefore, changes for every single tree can be derived with regard to its parameters and its point cloud. The testing area is set along an urban street in Munich, Germany, using the publicly available benchmark data sets TUM-MLS-2016/2018. In the frame of the evaluation, tree objects are geo-referenced and mapped in 2D. The tree parameters height and diameter at breast height are derived. The geometric evaluation of the change analysis facilitates not only the acquisition of stock changes, but also the detection of shape changes for the tree objects.

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Data Processing and Recording Using a Versatile Multi-Sensor Vehicle

Cited by 18 publications

References 25 publications

A Fast Voxel-Based Indicator for Change Detection Using Low Resolution Octrees

A Fast Voxel-Based Indicator for Change Detection Using Low Resolution Octrees

Using mobile laser scanner and imagery for urban management applications

Change Detection of Urban Trees in MLS Point Clouds Using Occupancy Grids

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