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Semantic Fusion for Query Processing in Grid Environment
[chapter]
2007
Lecture Notes in Computer Science
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The procedure of ontology based semantic fusion is discussed in detail. 729 dynamically for different virtual organizations(VO for short)on the grid, creates semantic fusion list on the mediator site to ...
To enable accessing web information at semantic level, this paper develops a semantic fusion mechanism in Mediator-Wrapper based grid environment to support ontology-based query planning with GAV style ...
This paper proposes a semantic data grid (SDG for short) service to solve these two problems and discusses the semantic fusion mechanism in detail. ...
doi:10.1007/978-3-540-72586-2_104
fatcat:ss5c56v6yvgcjjqwk63rcb7zhi
XML Based Semantic Data Grid Service
[chapter]
2007
Lecture Notes in Computer Science
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and fusion languages to support semantic grid communication mechanism. ...
This paper introduces a novel wrapper-mediator based semantic data grid service mechanism to solve the problem of Semantic heterogeneity and few compatible data sources. ...
Section 3 discusses the knowledge communication mechanism to support semantic querying and knowledge fusion. Section 4 discusses ontology enabled querying rewriting on XML based grid nodes. ...
doi:10.1007/978-3-540-72584-8_54
fatcat:agkzdcmqq5clfd35hwybcxc6r4
Multi-class classification for semantic labeling of places
2010
2010 11th International Conference on Control Automation Robotics & Vision
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Keywords-semantic labeling of places, logistic regression, data fusion, independent opinion pool, semantic grid map I. ...
Knowledge of semantic labels of places can be used to effectively communicate with people and to develop efficient navigation solutions in complex environments. ...
In occupancy grid map, grid points are described by the probabilities of being occupied, while in semantic grid map grid points are described by the probabilities of belonging to certain semantic label ...
doi:10.1109/icarcv.2010.5707856
dblp:conf/icarcv/ShiKD10
fatcat:k2uk72gbdnhxpkh6ftq4zwe7zy
Semantic Grid-Based Road Model Estimation for Autonomous Driving
2019
2019 IEEE Intelligent Vehicles Symposium (IV)
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traffic participants are fused into semantic grids. ...
For autonomous driving, knowledge about the current environment and especially the driveable lanes is of utmost importance. ...
In a further-reaching approach [21] LiDAR measurements are fused with a-priori knowledge from an offline map in a grid. ...
doi:10.1109/ivs.2019.8813790
dblp:conf/ivs/ThomasTERK19
fatcat:rayo2toe6bdzngh3hqy2mgtqpi
Special Issue on ONCO-MEDIA -Introduction-
2007
Medical Imaging Technology
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In this context, the aim of the ONCO-MEDIA project is to deploy a medical image semantic content-based application on a large scale grid testbed, by taking into account the context of the user and of the ...
However, many questions with respect to semantic descriptors, semantic gap, medical image and report fusion indexing or contextsensitive navigation and query are still unanswered. ...
'Prospective study for semantic inter-media fusion in contrast-based medical image retrieval' by Ms R Teodorescu et al. evaluates various techniques of UMLS-based semantic fusion of medical media (medical ...
doi:10.11409/mit.25.325
fatcat:tz2sk4ubkzdgvcaza7qkhurway
Exploring Flows in the Intelligent Agent Grid Environment
[chapter]
2005
Lecture Notes in Computer Science
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participating in versatile flow cycles in the environment through roles and machines. ...
The Intelligent Agent Grid Environment is a scalable, live, sustainable and intelligent networking environment where humans, agents, machines and nature can harmoniously co-exist, work and evolve. ...
Acknowledgement The author thanks all the team members of the China Knowledge Grid Research Group (http://kg.ict.ac.cn) for their cooperation and support, especially X.Chen, L.Ding and Z.Gu for their help ...
doi:10.1007/11512073_2
fatcat:av4e5lhq3zg5ddcm5lyl7uzv4a
Short-Term Prediction and Multi-Camera Fusion on Semantic Grids
[article]
2019
arXiv
pre-print
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2019 pre-print arXiv:1903.08960v1 fatcat:yqerqln6pbabpelblvhmnhz4xe
In this work, we propose and evaluate a novel architecture that generates an egocentric, grid-based, predictive, and semantically-interpretable ER. ...
In particular, we provide a proof of concept for the spatio-temporal fusion of multiple camera sequences and short-term prediction in such an ER. ...
To the best of our knowledge, we are the first to investigate a deep convolutional neural network for short-term prediction and multi-camera sequence fusion on semantic grids. ...
arXiv:1903.08960v2
fatcat:bgmoivvuufhopflyo6mewczs3y
End-to-End Learning of Semantic Grid Estimation Deep Neural Network with Occupancy Grids
2019
Unmanned Systems
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We propose semantic grid, a spatial 2D map of the environment around an autonomous vehicle consisting of cells which represent the semantic information of the corresponding region such as car, road, vegetation ...
It consists of an integration of an occupancy grid, which computes the grid states with a Bayesian filter approach, and semantic segmentation information from monocular RGB images, which is obtained with ...
The final grid, which contains the semantic knowledge of the environment such as car, pedestrian, vegetation, road, bike, etc. is called as the semantic grid. 5, 6 he method is capable of being used ...
doi:10.1142/s2301385019410036
fatcat:egfnhvlqgfh7dddxtfydtvsnxy
Semantic Grid Estimation with a Hybrid Bayesian and Deep Neural Network Approach
2018
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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In an autonomous vehicle setting, we propose a method for the estimation of a semantic grid, i.e. a bird's eye grid centered on the car's position and aligned with its driving direction, which contains ...
The fusion itself is carried out with a deep neural network, which learns to integrate geometric information from the LIDAR with semantic information from the RGB data. ...
In this case, the occupancy grid output is mapped to the semantic grid through the fusion network, which needs to infer semantic classes from the 4 states of the occupancy grid only (empty, occupied, in-motion ...
doi:10.1109/iros.2018.8593434
dblp:conf/iros/Erkent0LGR18
fatcat:kyiqvdp63rhcppje5nifxs2vj4
Sensor Data Fusion in Top-View Grid Maps using Evidential Reasoning with Advanced Conflict Resolution
[article]
2022
arXiv
pre-print
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We present a new method to combine evidential top-view grid maps estimated based on heterogeneous sensor sources. ...
Dempster's combination rule that is usually applied in this context provides undesired results with highly conflicting inputs. ...
We proposed to apply evidential reasoning (ER) to sensor data fusion in top-view grid maps. ...
arXiv:2204.08780v1
fatcat:swweev7kvjf7tppiiw2nd5h5ri
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
[article]
2022
arXiv
pre-print
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In practice, by leveraging an auxiliary modal fusion and multi-scale fusion-to-single knowledge distillation (MSFSKD), 2DPASS acquires richer semantic and structural information from the multi-modal data ...
As camera and LiDAR sensors capture complementary information used in autonomous driving, great efforts have been made to develop semantic segmentation algorithms through multi-modality data fusion. ...
fusion-to-single knowledge transferring. ...
arXiv:2207.04397v1
fatcat:bjodvjq7pffahbdg3gh4bvrerm
Knowledge based Grid Using Semantic Web for the University System
2013
International Journal of Computer Applications
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The Knowledge base grid in semantic web is an important instrument to enhance the application domain of semantic web. using the semantic web technologies for the solution of the problems of the students ...
The emergence of semantic web will result in an enormous amount of knowledge base resources on the web. ...
The Knowledge base grid in semantic web which is an important instrument to enhance the application domain of semantic web. ...
doi:10.5120/13325-0900
fatcat:rffyrxx7vrbmhkuocc64fjovzu
Semantic Grid Estimation with Occupancy Grids and Semantic Segmentation Networks
2018
2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)
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The semantic grid is a 2D bird's eye view map where the grid cells contain semantic characteristics such as road, car, pedestrian, signage, etc. ...
We obtain the semantic grid by fusing the semantic segmentation information and an occupancy grid computed by using a Bayesian filter technique. ...
RELATED WORK Semantic knowledge has been integrated into maps in a few previous studies. Tung et. al. [7] integrate the region proposal networks [8] to compute semantic segmentations. ...
doi:10.1109/icarcv.2018.8581180
dblp:conf/icarcv/ErkentWL18
fatcat:qfborz5g35ewlemfiswszwl474
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2108.05246v1 fatcat:hz24aswbvzfdxng2lit66v7cyy
For a compelling online fusion of the semantic labels and geometry in real-time, we introduce an efficient vortex pooling block while dropping the use of routing network in online depth fusion to preserve ...
Given noisy depth maps, a camera trajectory, and 2D semantic labels at train time, the proposed deep neural network based approach learns to fuse the depth over frames with suitable semantic labels in ...
Thus, we propose a network that leverages semantic and depth knowledge for feature representation. ...
arXiv:2108.05246v2
fatcat:ux3hrwh75faynkmopirgoo7hdu
China's e-science knowledge grid environment
2004
IEEE Intelligent Systems
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In fact, the Knowledge Grid should absorb the Grid's ideals (the meaning of "grid" in the Knowledge Grid is broader than in Grid computing). ...
IMAGINE aims to speed up the process and increase knowledge inspiration, generation, innovation, propagation, fusion, and management in cooperative research. ...
doi:10.1109/mis.2004.1265879
fatcat:dffttads5nbllotf57o6vfej2y
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