IVS3D: An Open Source Framework for Intelligent Video Sampling and Preprocessing to Facilitate 3D Reconstruction

Hermann, Max; Pollok, Thomas; Daniel, Brommer,; Dominic, Zahn,

doi:10.1007/978-3-030-90439-5_35

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…The walking path shown in Figure 7a was planned for use in data collection using the Apple iPhone 13 mini (German version) with 4K video resolution at 60 fps. Using the iVS3D [50] framework, 248 images were generated and selected for SfM using COLMAP (Figure 7b). Finally, the Apple iPad Pro (German version) together with the SiteScape app were utilized for data collection of the interior of the building (Figure 7c; each floor was scanned separately).…”

Section: Point Cloud and Processingmentioning

confidence: 99%

“…An Apple iPhone 13 mini (German version) was used for video recording, which can acquire 4k video recording at 30 and 60 frames-per-second (fps). To maintain high image overlap and quality, the iVS3D method was utilized to sample and pre-process videos to increase 3D reconstruction speed and quality by eliminating images with low content [50]. Summary of the SfM is shown in Figure 2.…”

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confidence: 99%

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Renovation or Redevelopment: The Case of Smart Decision-Support in Aging Buildings

Maalek

2023

Smart Cities

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In Germany, as in many developed countries, over 60% of buildings were constructed before 1978, where most are in critical condition, requiring either demolition with plans for redevelopment or renovation and rehabilitation. Given the urgency of climate action and relevant sustainable development goals set by the United Nations, more attention must be shifted toward the various sustainability aspects when deciding on a strategy for the renovation or redevelopment of existing buildings. To this end, this study focused on developing a smart decision support framework for aging buildings based on lifecycle sustainability considerations. The framework integrated digital technological advancements, such as building information modeling (BIM), point clouds processing with field information modeling (FIM)®, and structural optimization, together with lifecycle assessment to evaluate and rate the environmental impact of different solutions. Three sustainability aspects, namely, cost, energy consumption, and carbon emissions, were quantitatively evaluated and compared in two scenarios, namely, renovation, and demolition or deconstruction combined with redevelopment. A real building constructed in 1961 was the subject of the experiments to validate the framework. The result outlined the limitations and advantages of each method in terms of economics and sustainability. It was further observed that optimizing the building design with the goal of reducing embodied energy and carbon in compliance with modern energy standards was crucial to improving overall energy performance. This work demonstrated that the BIM-based framework developed to assess the environmental impact of rehabilitation work in aging buildings can provide effective ratings to guide decision-making in real-world projects.

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Section: Point Cloud and Processingmentioning

confidence: 99%

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confidence: 99%

Renovation or Redevelopment: The Case of Smart Decision-Support in Aging Buildings

Maalek

2023

Smart Cities

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MUSAL: towards multisource 4D scene modeling by autonomous robot systems for the surveillance of critical infrastructure

Ruf,

Hermann,

Araujo

et al. 2024

Autonomous Systems for Security and Defence

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This paper presents the MUSAL ecosystem, which allows temporal scene modeling with multi-sourced data and provides a continuous scene representation at different abstraction layers. It consists of individual building blocks, each of which implements different functionalities and is orchestrated by a ROS2-based middleware. The building blocks are comprised of (i) data stores, which implement the actual persistence and management of the sensor data; (ii) data recorders, connecting the actual sensors with the data stores; (iii) data processors, that advertise services to process the sensor data on different abstraction levels; as well as a (iv) universal search engine, providing a unified and transparent interface to the user. The functionality of the system is demonstrated through four use cases, namely the generation of obstacle maps and their distribution between multiple autonomous mobile robots, collaborative online 3D mapping and point cloud merging, multi-source image-based 3D reconstruction, and the monitoring of industrial facilities.

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Renovation or Redevelopment: The Case of Smart Decision-Support in Aging Buildings

Wu¹,

Maalek²

2023

Preprint

View full text Add to dashboard Cite

In Germany, as in many developed countries, over 60% of buildings were constructed before 1978, where most are in critical condition, requiring either demolition with plans for redevelopment or renovation and rehabilitation. Given the urgency of climate action and relevant sustainable development goals set by the United Nations, more attention must be shifted toward the various sustainability aspects when deciding on the strategy for renovation or redevelopment of existing buildings. To this end, this study focused on developing a smart decision support framework for aging buildings based on lifecycle sustainability considerations. The framework integrated digital technological advancements, such as building information modeling (BIM), point clouds processing with field information modeling (FIM)®, and structural optimization, together with life-cycle assessment to evaluate and rate the environmental impact of different solutions. Three sustainability aspects, namely, cost, energy consumption, and carbon emissions, were quantitatively evaluated and compared in two scenarios, namely, renovation, and demolition or deconstruction combined with redevelopment. A real building constructed in 1961 was the subject of the experiments to validate the framework. The result outlined the limitations and advantages of each method in terms of economics and environmental impact. It was further observed that optimizing the building design with the goal to reduce embodied energy and carbon in compliance with modern energy standards, was crucial to improve overall energy performance. This work demonstrated that the developed BIM-based framework to assess the environmental impact of rehabilitation work in aging buildings can provide effective ratings to guide decision-making in real-world projects.

show abstract

IVS3D: An Open Source Framework for Intelligent Video Sampling and Preprocessing to Facilitate 3D Reconstruction

Cited by 3 publications

References 13 publications

Renovation or Redevelopment: The Case of Smart Decision-Support in Aging Buildings

Renovation or Redevelopment: The Case of Smart Decision-Support in Aging Buildings

MUSAL: towards multisource 4D scene modeling by autonomous robot systems for the surveillance of critical infrastructure

Renovation or Redevelopment: The Case of Smart Decision-Support in Aging Buildings

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