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A Benchmarking Framework for Interactive 3D Applications in the Cloud
[article]
2020
arXiv
pre-print
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With the growing popularity of cloud gaming and cloud virtual reality (VR), interactive 3D applications have become a major type of workloads for the cloud. ...
With Pictor, we designed a benchmark suite with six interactive 3D applications. ...
CONCLUSION This paper presents Pictor, a benchmarking framework for cloud 3D applications and systems. ...
arXiv:2006.13378v2
fatcat:yggr66k775ebhomggztf6ow6bi
OPEB: Open Physical Environment Benchmark for Artificial Intelligence
[article]
2017
arXiv
pre-print
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In this paper, we propose a physical environment benchmark framework to facilitate collaborative research in this area by enabling different research groups to integrate their designed benchmarks in a ...
unified cloud-based repository and also share their actual implemented benchmarks via the cloud. ...
One of the reasons for the lack of AI benchmarks is the interactive nature of dynamical systems. ...
arXiv:1707.00790v1
fatcat:vtsgef6fxncmhikpvw3lvfo5ny
AN EVALUATION FRAMEWORK FOR BENCHMARKING INDOOR MODELLING METHODS
2018
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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In this paper, we propose a framework for the evaluation of indoor modelling methods, and discuss various quality aspects of the reconstruction methods as well as the reconstructed models. ...
The ISPRS Benchmark on Indoor Modelling is an effort to enable comparison and benchmarking of indoor modelling methods by providing a benchmark dataset and a comprehensive evaluation framework. ...
The TUB1 and TUB2 datasets were provided by Prof Markus Gerke, Technical University of Braunschweig (Germany), in collaboration with Viametris and Laser Scanning Europe. ...
doi:10.5194/isprs-archives-xlii-4-297-2018
fatcat:g5uuyj33u5e57ams2efbxnpidm
A Review of Point Cloud Semantic Segmentation
[article]
2019
arXiv
pre-print
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Firstly, we outline the acquisition and evolution of the 3D point cloud from the perspective of remote sensing and computer vision, as well as the published benchmarks for PCSS studies. ...
3D Point Cloud Semantic Segmentation (PCSS) is attracting increasing interest, due to its applicability in remote sensing, computer vision and robotics, and due to the new possibilities offered by deep ...
and large-volume point clouds created more possibilities in 3D applications but also had a stronger desire for practicable algorithms. ...
arXiv:1908.08854v2
fatcat:kwpsogl4gbd3nji4xpcx32c4ta
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM
2015
2015 IEEE International Conference on Robotics and Automation (ICRA)
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In this paper we introduce SLAMBench, a publicly-available software framework which represents a starting point for quantitative, comparable and validatable experimental research to investigate trade-offs ...
Real-time dense computer vision and SLAM offer great potential for a new level of scene modelling, tracking and real environmental interaction for many types of robot, but their high computational requirements ...
In this work we focus specifically on SLAM and introduce a publicly-available framework for quantitative, comparable and validatable experimental research in the form of a benchmark for dense 3D scene ...
doi:10.1109/icra.2015.7140009
dblp:conf/icra/NardiBZMNKDLORT15
fatcat:mkwfwbnqm5dmdf247cifgzd2my
A comprehensive survey on point cloud registration
[article]
2021
arXiv
pre-print
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Registration is a transformation estimation problem between two point clouds, which has a unique and critical role in numerous computer vision applications. ...
Besides, this survey summarizes the benchmark data sets and discusses point cloud registration applications across various domains. ...
This application shows that the registration provides a solution to interact with the 3D environment for an autonomous agent (e.g. robots or drive-less car). Thirdly, pose estimation. ...
arXiv:2103.02690v2
fatcat:clehiqanffd5bcx7yrr5dytlze
THE I3RC: Bringing Together the Most Advanced Radiative Transfer Tools for Cloudy Atmospheres
2005
Bulletin of The American Meteorological Society - (BAMS)
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An international Intercomparison of 3D Radiation Codes (I3RC) underscores the vast progress of recent years, but also highlights the challenges ahead for routine implementation in remote sensing and global ...
climate modeling applications. ...
Phase II consisted of two main application areas: • radiance fields for cloud remote sensing, and • 3D heating rate fields for cloud and GCM modeling applications. ...
doi:10.1175/bams-86-9-1275
fatcat:22ycpqepmjhjvdrx3nuw52uy5e
SUM: A Benchmark Dataset of Semantic Urban Meshes
[article]
2021
arXiv
pre-print
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The contributions of this work are threefold: (1) a new benchmark dataset of semantic urban meshes, (2) a novel semi-automatic annotation framework, and (3) an annotation tool for 3D meshes. ...
Those can help us understand and analyse the urban environment, and as a consequence are useful for several applications like spatial analysis and urban planning. ...
Acknowledgements We would like to thank EuroSDR for providing the funding for this project. ...
arXiv:2103.00355v2
fatcat:npwtwlabznfxdp4gnrfyr63otm
SUM: A benchmark dataset of Semantic Urban Meshes
2021
ISPRS journal of photogrammetry and remote sensing (Print)
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The contributions of this work are three-fold: (1) a new benchmark dataset of semantic urban meshes, (2) a novel semi-automatic annotation framework, and (3) an annotation tool for 3D meshes. ...
Those can help us understand and analyse the urban environment, and as a consequence are useful for several applications like spatial analysis and urban planning. ...
Acknowledgements We would like to thank EuroSDR for providing the funding for this project. ...
doi:10.1016/j.isprsjprs.2021.07.008
fatcat:bcfwgrrubzflpg3sl2oodsx3ya
DETECTION OF BUILDING ROOFS AND FACADES FROM AERIAL LASER SCANNING DATA USING DEEP LEARNING
2019
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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In this work we used a LiDAR dataset of urban environment from the ISPRS benchmark on urban object detection. ...
</strong> In this work we test the power of prediction of deep learning for detection of buildings from aerial laser scanner point cloud information. ...
ACKNOWLEDGEMENTS This research is supported in part by the Italian Ministry of Education through the project of national interest (PRIN) Urban-Geo Big Data (project code: 20159CNLW8). ...
doi:10.5194/isprs-archives-xlii-2-w11-975-2019
fatcat:wbx6xnoqojgblas7i5k4gutksa
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
[article]
2020
arXiv
pre-print
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Since DARPA Grand Challenges (rural) in 2004/05 and Urban Challenges in 2007, autonomous driving has been the most active field of AI applications. ...
Due to the limited space, we focus the analysis on several key areas, i.e. 2D and 3D object detection in perception, depth estimation from cameras, multiple sensor fusion on the data, feature and task ...
Multi-view Labelling Object Detector (MLOD) [226] follow the two-stage object detection framework, where the first stage (a RPN) generates 3D proposals in a BEV projection of the point cloud and the ...
arXiv:2006.06091v3
fatcat:nhdgivmtrzcarp463xzqvnxlwq
Cross-Layer Multi-Cloud Real-Time Application QoS Monitoring and Benchmarking As-a-Service Framework
2015
IEEE Transactions on Cloud Computing
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This paper proposes, develops and validates CLAMBS:Cross-Layer Multi-Cloud Application Monitoring and Benchmarking as-a-Service for efficient QoS monitoring and benchmarking of cloud applications hosted ...
This has led to the proliferation of business critical applications that leverage various cloud platforms. ...
The CLAMS framework stands as a solution framework to address the gaps in existing monitoring approaches and a mechanism for improved cloud applications monitoring. ...
doi:10.1109/tcc.2015.2441715
fatcat:ixlxbede3rglnh7emtmhnhtg6q
Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection
2021
2021 IEEE Winter Conference on Applications of Computer Vision (WACV)
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While current 3D semantic segmentation networks focus on convolutional architectures that perform great for well represented classes, they show a significant drop in performance for underrepresented classes ...
We propose a novel Detection Aware 3D Semantic Segmentation (DASS) framework that explicitly leverages localization features from an auxiliary 3D object detection task. ...
Our key contributions can be summaries as follows: (1) We introduce DASS, a framework for joint point cloud semantic segmentation and 3D object proposal generation from partial datasets. ...
doi:10.1109/wacv48630.2021.00299
fatcat:hoiw4jog75em5ie3usfo2hpsg4
Bidirectional Projection Network for Cross Dimension Scene Understanding
[article]
2021
arXiv
pre-print
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In this paper, we present a bidirectional projection network (BPNet) for joint 2D and 3D reasoning in an end-to-end manner. ...
Our BPNet achieves top performance on the ScanNetV2 benchmark for both 2D and 3D semantic segmentation. Code is available at . ...
This project is supported by Shenzhen Science and Technology Program (No.JCYJ20180507182410327) and The Science and Technology Plan Project of Guangzhou (No.201704020141). ...
arXiv:2103.14326v1
fatcat:7debjufy3rh2lgyoixdtzvfqty
The Financial Clouds Review
2011
International Journal of Cloud Applications and Computing
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This study demonstrates portability, speed, accuracy, and reliability of applications in the clouds, while demonstrating portability for FSaaS and the Cloud Computing Business Framework (CCBF). unsustainable ...
A conceptual Cloud platform is used to explain the contributions in Financial Software as a Service (FSaaS) and the IBM Fined Grained Security Framework. ...
AcknoWlEgmEnt We greatly thank Howard Lee, a Researcher from Deakin University in Australia, for his effort to inspect our code and improve overall quality. rEfErEncEs Abdi, H. (2009). ...
doi:10.4018/ijcac.2011040104
fatcat:xo46lpwcwrdutgukoyu6eazgqu
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