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A Benchmarking Framework for Interactive 3D Applications in the Cloud [article]

Tianyi Liu, Sen He, Sunzhou Huang, Danny Tsang, Lingjia Tang, Jason Mars, Wei Wang
2020 arXiv   pre-print
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]

Hamid Mirzaei, Mona Fathollahi, Tony Givargis
2017 arXiv   pre-print
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

K. Khoshelham, H. Tran, L. Díaz-Vilariño, M. Peter, Z. Kang, D. Acharya
2018 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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]

Yuxing Xie, Jiaojiao Tian, Xiao Xiang Zhu
2019 arXiv   pre-print
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

Luigi Nardi, Bruno Bodin, M. Zeeshan Zia, John Mawer, Andy Nisbet, Paul H. J. Kelly, Andrew J. Davison, Mikel Lujan, Michael F. P. O'Boyle, Graham Riley, Nigel Topham, Steve Furber
2015 2015 IEEE International Conference on Robotics and Automation (ICRA)  
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]

Xiaoshui Huang, Guofeng Mei, Jian Zhang, Rana Abbas
2021 arXiv   pre-print
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

Robert F. Cahalan, Lazaros Oreopoulos, Alexander Marshak, K. Franklin Evans, Anthony B. Davis, Robert Pincus, Ken H. Yetzer, Bernhard Mayer, Roger Davies, Thomas P. Ackerman, Howard W. Barker, Eugene E. Clothiaux (+15 others)
2005 Bulletin of The American Meteorological Society - (BAMS)  
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]

Weixiao Gao, Liangliang Nan, Bas Boom, Hugo Ledoux
2021 arXiv   pre-print
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

Weixiao Gao, Liangliang Nan, Bas Boom, Hugo Ledoux
2021 ISPRS journal of photogrammetry and remote sensing (Print)  
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

F. Pirotti, C. Zanchetta, M. Previtali, S. Della Torre
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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]

Yu Huang, Yue Chen
2020 arXiv   pre-print
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

Khalid Alhamazani, Rajiv Ranjan, Prem Prakash Jayaraman, Karan Mitra, Fethi Rabhi, Dimitrios Georgakopoulos, Lizhe Wang
2015 IEEE Transactions on Cloud Computing  
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

Ozan Unal, Luc Van Gool, Dengxin Dai
2021 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)  
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]

Wenbo Hu, Hengshuang Zhao, Li Jiang, Jiaya Jia, Tien-Tsin Wong
2021 arXiv   pre-print
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

Victor Chang, Chung-Sheng Li, David De Roure, Gary Wills, Robert John Walters, Clinton Chee
2011 International Journal of Cloud Applications and Computing  
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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