Multidimensional spatial clustering and visualization of 3D topographic relief data

Maurya, Rajesh K.; Kulkarni, Sushil T.

doi:10.1007/s41870-020-00595-6

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…Differing from the macro perspective of demand forecasting, the update sequence evaluation can be carried out in a smaller area or spatial unit. Based on basic parcel conditions such as the parking status, demand, land use mode, and area, spatial clustering [100] can merge land parcels with a relatively close reconstruction mode and spatial location into a basic unit. Due to the diverse quantity and distribution of parking spaces in different areas of the city, determining the development timing based on the renewal demand of different areas can ensure the effectiveness of the renewal implementation.…”

Section: Time-series Evaluation Of Urban Parking Space Renewal Under mentioning

confidence: 99%

Sustainable Renewal Methods of Urban Public Parking Spaces under the Scenario of Shared Autonomous Vehicles (SAV): A Review and a Proposal

Xia

Wang

et al. 2021

Sustainability

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Shared autonomous vehicles (SAVs) will be an important force to in reshaping urban morphology. The high operation rate and sharing degree of SAV are considered to result in a great reduction in parking area in future cities. Parking space is now a huge and widely distributed urban stock space type, which is bound to become a major challenge and opportunity for sustainable urban renewal in the digital era. Based on the SAV scenario, this paper reviews the current research on the sustainable renewal of urban public parking spaces, and proposes the four key issues involved: how much to renew (i.e., demand forecast analysis), when to renew (i.e., update time series evaluation), what to renew (i.e., function replacement decision) and how to update (i.e., design empirical research). Furthermore, it puts forward a preliminary idea on, and constructs a research framework for, the sustainable renewal methods of parking space under the SAV scenario. Finally, the theoretical, practical and policy implications of the research on sustainable renewal methods of urban public parking space are discussed. It will have great reference value for the redevelopment and reuse of the urban space types including fragmented, widely distributed and large-scale.

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Section: Time-series Evaluation Of Urban Parking Space Renewal Under mentioning

confidence: 99%

Sustainable Renewal Methods of Urban Public Parking Spaces under the Scenario of Shared Autonomous Vehicles (SAV): A Review and a Proposal

Xia

Wang

et al. 2021

Sustainability

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Emulation of point cloud streaming over 5G network

Makiyah,

Khamees

2024

Int. j. inf. tecnol.

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Realistic digital representations of 3D objects and environments are now achievable because to recent developments in computer graphics, enabling realtime user interactions. Creating effective compression techniques and technologies that may take into account varied application limits has become a crucial problem due to the rising need for various point clouds. Future wireless networks are expected to undergo a paradigm change as a result of the 3GPP's 5G Advanced development. In this paper, we propose a complete system for streaming 3D high density point cloud data using a web-based streaming server with HTTP/2 protocol enabled, and compare results in two scenarios over WIFI and over 5G standalone network. Results have shown great outperformance over conventional work by decreasing inter-frame latency for large point cloud streaming by 16.8% for the case of 4 million points using http/2 over wi , and by 71.51% over emulated 5G network. Streamed packets were also captured showing an increased frame rate of the same sample by 20.7% and 353% for the cases of wi and 5G networks, respectively.

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Comparison of Photogrammetric Reconstruction Methods

Tychola,

Vrochidou,

Papakostas

2024

Advances in Geospatial Technologies

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Digital photogrammetry is a passive contactless, easy, and low-cost 3D scanning technique, that provides effective and powerful tools for 3D realistic reconstruction, as well as precise and high-resolution models based on Structure from Motion (SfM). Photogrammetry leverages data obtained by Unmanned Aerial Vehicles (UAVs), which have reached significant maturity in the sense that they offer a fast, affordable, and effective method for the acquisition of high-resolution geospatial information and image block (nadir and oblique) with high geometric and temporal resolutions. Data are processed by different available commercial or open-source photogrammetric software aiming at 3D reconstruction modelling. Then, the 3D-generated models can be further processed for quantity assessment by applying geometrical measurements. In addition, models through various geovisualization techniques can be used for realistic representations of the physical world. The current research investigates 3D model reconstruction by applying two photogram-metric software, Agisoft Metashape and 3DF Zephyr, in an example of an archaeological site in Greece focusing on the performance of each approach. Moreover, different distance and noise metrics are applied to compare and geometrically assess the 3D dense point clouds, meshes and Digital Surface Models (DSMs). Furthermore, traditional, and modern geovisualization forms of 3D models are discussed towards approaching the 3D models' representation holistically, aiming to provide guidelines to researchers in this field through a comprehensive workflow from data acquisition to manipulation and capabilities combined with other fields such as Computer Vision. Finally, open issues and future research directions are highlighted as a stimulus to further investigations.

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Multidimensional spatial clustering and visualization of 3D topographic relief data

Cited by 3 publications

References 19 publications

Sustainable Renewal Methods of Urban Public Parking Spaces under the Scenario of Shared Autonomous Vehicles (SAV): A Review and a Proposal

Sustainable Renewal Methods of Urban Public Parking Spaces under the Scenario of Shared Autonomous Vehicles (SAV): A Review and a Proposal

Emulation of point cloud streaming over 5G network

Comparison of Photogrammetric Reconstruction Methods

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