digital Twins (dTs) for cities represent a new trend for city planning and management, enhancing three-dimensional modeling and simulation of cities. While progress has been made in this research field, the current sc...
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digital Twins (dTs) for cities represent a new trend for city planning and management, enhancing three-dimensional modeling and simulation of cities. While progress has been made in this research field, the current scientific literature mainly focuses on the use of semantically segmented point clouds to develop 3d city models for dTs. However, this study discusses a new reflection that argues on directly integrating the results of semantic segmentation to create the skeleton of the dTs and uses enriched semantically segmented point clouds to perform targeted simulations without generating 3d models. The paper discusses to what extent enriched semantic 3d point clouds can replace semantic 3d city models in the dTs scope. Ultimately, this research aims to reduce the cost and complexity of 3dmodeling to fit some dTs requirements and address its specific needs. New perspectives are set to tackle the challenges of using semantic 3d point clouds to implement dTs for cities.
digital twins that serve as virtual representations of real-world objects and structures, are used in various applications for urban environments. Challenges for creating and maintaining digital twins involve data acq...
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digital twins that serve as virtual representations of real-world objects and structures, are used in various applications for urban environments. Challenges for creating and maintaining digital twins involve data acquisition, fusion of heterogeneous data types, AI-baseddata analysis, and the integration into existing applications and workflows. In this paper, we present the concept and implementation of a dynamic digital twin from a city's perspective. The concept avoids explicit modeling to simplify the creation of a comprehensive data basis that can be easily updated frequently. 3d point clouds with semantics are used as representations for static objects and structures, such as buildings, infrastructure and subsurface structures. dynamic aspects are represented through a time series of sensor data to enable real-time monitoring and change detection applications. A centralizeddata repository for applications, such as infrastructure monitoring, condition assessment, and inventory management represent a basis to support decisions. We present typical use cases and challenges from the perspective of a city and how the dynamic digital twins can create significant added value.
3d building reconstruction in the urban environment is a key step in developing urban digital twins. So far, the existing researches focus on the modeling process and overlook the scalability issues related to the ext...
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3d building reconstruction in the urban environment is a key step in developing urban digital twins. So far, the existing researches focus on the modeling process and overlook the scalability issues related to the extensive data and iterative calculations. In this paper, we propose an approach for efficient and scalable 3d generation of large-scale building models from aerial LidAR data. Our method involves data indexing and tiling for enhanced efficiency, along with parallel processing to accelerate the modeling process. We also correct ground-floor elevation inaccuracies in the final model to ensure reliable applications and analysis. The results show that, for large datasets, the indexing overcomes the memory saturation and speeds up the tiling and the reconstruction processes. The parallel processing accelerates the reconstruction process by nearly five times compared to an iterative approach. Additionally, using K-nearest neighbors instead of radius search resulted in more accurate elevation values. Our source code is available at: https://***/Yarroudh/Optim3d.
digital twins, which enable the creation of virtual replicas of physical entities to simulate temporal changes and forecast future scenarios, have become increasingly vital in sectors such as logistics and traffic man...
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digital twins, which enable the creation of virtual replicas of physical entities to simulate temporal changes and forecast future scenarios, have become increasingly vital in sectors such as logistics and traffic management. The deployment of digital twins can significantly enhance the efficiency of maritime operations and cargo handling, while also facilitating the strategic planning of road networks through the optimization of traffic flow and reduction of congestion. recent advancements in international standards, particularly ISO 23247, have set forth comprehensive guidelines for the reference architecture, digital representation, anddata exchange protocols of digital twins within the manufacturing sector. In this context, our study seeks to extend these standards to include applications in port logistics and traffic systems. This paper will offer practical guidelines for each specifieddomain through detailed case studies. Our approach entails a systematic method in which the necessary information for simulations is categorized. This is followed by a clear definition of the operational mechanisms of these simulations, culminating in the implementation of the simulation models. These models are crafted to optimize the scheduling processes for ships and cargo equipment, as well as to improve the management of traffic flow.
This work describes a design methodology for developing an interactive visualization environment using Augmented Reality (AR) based on Head Mounteddisplays (HMds) to provide a learning experience for cardiac and Nerv...
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This paper introduces a novel technique for transforming 2d floor plans into 3d models by combining image processing and augmented reality. The method involves using a smartphone camera to scan a 2d blueprint, followe...
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Virtual Reality Property Tour is a groundbreaking undertaking aimed toward revolutionizing the actual property enterprise by leveraging immersive technologies. This progressive endeavor specializes in developing a unb...
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recentadvances in domains such as High Performance Computing (HPC) and proliferation of Machine Learning have led to great strides in the domain of 3d model generation. Several technologies, such as the Metaverse, AR...
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CMOS Image Sensors (CIS) are fundamental to emerging visual computing applications. While conventional CIS are purely imagingdevices for capturing images, increasingly CIS integrate processing capabilities such as de...
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ISBN:
(纸本)9798400700958
CMOS Image Sensors (CIS) are fundamental to emerging visual computing applications. While conventional CIS are purely imagingdevices for capturing images, increasingly CIS integrate processing capabilities such as deep Neural Network (dNN). Computational CIS expand the architecture design space, but to date no comprehensive energy model exists. This paper proposes CAMJ, a detailed energy modeling framework that provides a component-level energy breakdown for computational CIS and is validated against nine recent CIS chips. We use CamJ to demonstrate three use-cases that explore architectural trade-offs including computing in vs. off CIS, 2d vs. 3d-stacked CIS design, and analog vs. digital processing inside CIS. The code of CAMJ is available at: https://***/horizon-research/CamJ.
This paper investigates the interactions between sidewalk delivery robots and pedestrians in urban settings to evaluate pedestrian safety and robot efficiency in shared spaces. We developed a 3ddigital twin environme...
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This paper investigates the interactions between sidewalk delivery robots and pedestrians in urban settings to evaluate pedestrian safety and robot efficiency in shared spaces. We developed a 3ddigital twin environment model that allows realistic simulation of robot-human and robot-cityscape interactions, adopting the Pedestrian Aware Model (PAM) to ensure effective and safe navigation. Using an agent-basedmodeling approach, we analyze various scenarios involving pedestrians, wheelchair users, and robots sharing sidewalk spaces. Our findings reveal that robots do not inherently contribute to sidewalk congestion and can be programmed to maintain a buffer zone that allows for both safety and efficiency, suggesting their potential for smooth coexistence with pedestrians. We observed that robots caused most collisions, while pedestrians were primarily responsible for proximity violations of minimum distance thresholds, emphasizing the need for further research and strategies to reduce further the risks associated with these incidents. The results suggest that with careful design-oriented planning and continued research, robots can safely and comfortably share sidewalks with pedestrians, contributing to a more harmonious and efficient urban landscape. Our proposed simulation model can assist urban planners, policymakers, and researchers in evaluating the influence of various design interventions and policies on human-robot coexistence in cities, marking a crucial step toward accommodating both humans and robots in urban spaces.
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