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Towards adaptable and tunable cloud-based map-matching strategy for GPS trajectories Article

Aftab Ahmed CHANDIO,Nikos TZIRITAS,Fan ZHANG,Ling YIN,Cheng-Zhong XU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 12,   Pages 1305-1319 doi: 10.1631/FITEE.1600027

Abstract: The map-matching process, which is responsible for the accurate alignment of observed GPS positions ontoRegarding accuracy, the performance of a map-matching strategy is based on the shortest path betweenCurrent map-matching techniques are approached with a fixed number of parameters, i.e., the number ofIn this paper, we propose real-time map-matching (called RT-MM), which is a fully adaptive map-matchingstrategy based on cloud to address the key challenge of SPQs in a map-matching process for real-time

Keywords： Map-matching     GPS trajectories     Tuning-based     Cloud computing     Bulk synchronous parallel    

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Study on road network model based on virtual node joint

Zhu Zhuangsheng,Wang Qing,Wan Dejun

Strategic Study of CAE 2009, Volume 11, Issue 8,   Pages 83-87

Abstract: traffic flow on the road network than the old model based on node joint,and satisfies the demand of the mapmatching theory better.

Keywords： traffic engineering     virtual node     road network model     map matching     transportation planning    

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Traffic services for vehicles: the process from receiving raw probe data to space-time diagrams and the resulting traffic service

Markus AUER, Hubert REHBORN, Sven-Eric MOLZAHN, Micha KOLLER

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 490-497 doi: 10.15302/J-FEM-2017008

Abstract: first processing step, all raw position data received from Global Positioning Systems (GPS) have to be mapmatched in a digital road map.The technical aspects of such a matching process for GPS data are described in this report.After the matching process, space-time-diagrams are created of the probe data showing traffic situation

Keywords： floating car data     map matching     three phase traffic theory     traffic reconstruction     traffic service quality    

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Design of an enhanced visual odometry by building and matching compressive panoramic landmarks online

Wei LU,Zhi-yu XIANG,Ji-lin LIU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 2,   Pages 152-165 doi: 10.1631/FITEE.1400139

Abstract: Efficient and precise localization is a prerequisite for the intelligent navigation of mobile robots. Traditional visual localization systems, such as visual odometry (VO) and simultaneous localization and mapping (SLAM), suffer from two shortcomings: a drift problem caused by accumulated localization error, and erroneous motion estimation due to illumination variation and moving objects. In this paper, we propose an enhanced VO by introducing a panoramic camera into the traditional stereo-only VO system. Benefiting from the 360° field of view, the panoramic camera is responsible for three tasks: (1) detecting road junctions and building a landmark library online; (2) correcting the robot’s position when the landmarks are revisited with any orientation; (3) working as a panoramic compass when the stereo VO cannot provide reliable positioning results. To use the large-sized panoramic images efficiently, the concept of compressed sensing is introduced into the solution and an adaptive compressive feature is presented. Combined with our previous two-stage local binocular bundle adjustment (TLBBA) stereo VO, the new system can obtain reliable positioning results in quasi-real time. Experimental results of challenging long-range tests show that our enhanced VO is much more accurate and robust than the traditional VO, thanks to the compressive panoramic landmarks built online.

Keywords： Visual odometry     Panoramic landmark     Landmark matching     Compressed sensing     Adaptive compressive feature    

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Beyond bag of latent topics: spatial pyramid matching for scene category recognition

Fu-xiang LU,Jun HUANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 817-828 doi: 10.1631/FITEE.1500070

Abstract: We propose a heterogeneous, mid-level feature based method for recognizing natural scene categories. The proposed feature introduces spatial information among the latent topics by means of spatial pyramid, while the latent topics are obtained by using probabilistic latent semantic analysis (pLSA) based on the bag-of-words representation. The proposed feature always performs better than standard pLSA because the performance of pLSA is adversely affected in many cases due to the loss of spatial information. By combining various interest point detectors and local region descriptors used in the bag-of-words model, the proposed feature can make further improvement for diverse scene category recognition tasks. We also propose a two-stage framework for multi-class classification. In the first stage, for each of possible detector/descriptor pairs, adaptive boosting classifiers are employed to select the most discriminative topics and further compute posterior probabilities of an unknown image from those selected topics. The second stage uses the prod-max rule to combine information coming from multiple sources and assigns the unknown image to the scene category with the highest ‘final’ posterior probability. Experimental results on three benchmark scene datasets show that the proposed method exceeds most state-of-the-art methods.

Keywords： Scene category recognition     Probabilistic latent semantic analysis     Bag-of-words     Adaptive boosting    

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A new method of rock-explosive matching in drilling and blasting based on reasonable control of the crushed

LengZhendong,LuWenbo,YanPeng, ChenMing,Hu Yingguo

Strategic Study of CAE 2014, Volume 16, Issue 11,   Pages 28-35

Abstract:

Reasonable rock-explosive matching is of great important to the enhancingThe traditionally emphasized method of acoustic impedance matching is not reasonable.Starting from the blasting breakage mechanism, a new method of rock-explosive matching in drilling and

Keywords： drilling and blasting     crushed zone     rock-explosive matching     acoustic impedance matching    

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Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 6,   Pages 759-771 doi: 10.1007/s11705-022-2269-5

Abstract: ., multi-input self-organizing-map ResNet (MISR), for modeling refining units comprised of two reactorsThe model is comprised of self-organizing-map and the neural network parts.The self-organizing-map part maps the input data into multiple two-dimensional planes and sends thempredicts more accurately the product yields and properties than the previously introduced self-organizing-map

Keywords： hydrocracking     convolutional neural networks     self-organizing map     deep learning     data-driven optimization    

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Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1403-1417 doi: 10.1007/s11709-020-0666-8

Abstract: XML Schema matching enables qualitative improvement of the stored data.This study aimed to enhance the applicability of XML Schema matching, which improves the speed and qualityFirst, the authors proposed a method of reducing the computing time for the schema matching of bridgeThe computing speed of schema matching was increased by 13 to 1800 times by reducing the checking processSecond, the authors developed a heuristic solution for selecting the optimal weight factors used in the matching

Keywords： structural calculation document     bridge structure     XML Schema matching     weight factor     data mining     decision    

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A bacterial artificial chromosome-based physical map of

Yuhua FU,Zhiqiang XIA,Shujuan WANG,Xin CHEN,Cheng LU,Mingcheng LUO,Hongbin ZHANG,Wenquan WANG

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 4,   Pages 321-329 doi: 10.15302/J-FASE-2016124

Abstract: A total of 29952 clones were fingerprinted and resulted in a cassava physical map composed of 2485 contigsThis BAC-based physical map provides valuable tools to understand the genetics and evolution of cassava

Keywords： cassava     BAC library     physical map    

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A algorithm for binocular stereo matching in the presence of specular reflections

Lu Sijun,Tang Zhenmin,Guo Longyuan,Lu Ali

Strategic Study of CAE 2010, Volume 12, Issue 1,   Pages 56-60

Abstract: most part of an image, processing of regions that contain specular reflections can result in severe matchingIn this paper, we address the problem of binocular stereo dense matching in the presence of specular

Keywords： stereo matching     diffuse reflection     specular reflection     chromaticity    

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Map Update in Raster Mode by Means of Aerial and Space Images

Lin Zongjian

Strategic Study of CAE 2000, Volume 2, Issue 4,   Pages 43-47

Abstract:

To meet the urgent needs of updating 1：10 000 scale and 1 ：50 000 scale topographic map for the wholeof China, an integrated techinique for key elements revision is proposed, in which the topographic mapraster mode through overlaying the precisely geo-rectified aerial or satellite image on the digitized mapThe following issues are specially presented： 1) The scanning resolution of topographic map digitization

Keywords： surveying and mapping     remote sensing     map updating     digital raster graphic (DRG)    

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Multi-UAV collaborative system with a feature fast matching algorithm

Tian-miao Wang, Yi-cheng Zhang, Jian-hong Liang, Yang Chen, Chao-lei Wang,zycet@126.com

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 12,   Pages 1671-1814 doi: 10.1631/FITEE.2000047

Abstract: different from other general SLAM systems in two aspects: First, it does not aim to build a global mapthere is no centralized structure in the proposed system, and each vehicle owns an individual metric mapand an ego-motion estimator to obtain the relative position between its own map and the neighboringreal time, we demonstrate an innovative algorithm to avoid catastrophic expansion of feature point matchingBased on the hash and principal component analysis, the matching time complexity of this algorithm can
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Study on channcl resolution matching algorithm for HY-2 satellite

Huang Lei,Zhou Wu,Li Yanmin

Strategic Study of CAE 2014, Volume 16, Issue 6,   Pages 65-69

Abstract: The result showed that the matching with resolution decreasing could simulate the real instrument observation

Keywords： scanning microwave radiometer     HY-2     resolution matching     Backus-Gilbert algorithm    

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Thoughts and Suggestions on Autonomous Driving Map Policy

Liu Jingnan, Dong Yang, Zhan Jiao, Gao Kefu

Strategic Study of CAE 2019, Volume 21, Issue 3,   Pages 92-97 doi: 10.15302/J-SSCAE-2019.03.004

Abstract: style="text-align: justify;">As a key infrastructure to realize autonomous driving, autonomous driving mapCurrently, constrained by laws and regulations related to ground mapping, map application, and supervisiongeographic information expression, qualifications for geographic information collection and the process for mapreview, accident liability and insurance issues, as well as autonomous driving map related test specificationsdevelopment and commercialization of autonomous driving vehicles in China: formulating an autonomous driving map

Keywords： autonomous driving map     autonomous driving regulation     autonomous driving policy    

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Overlap maximum matching ratio (OMMR): a new measure to evaluate overlaps of essential modules

Xiao-xia ZHANG,Qiang-hua XIAO,Bin LI,Sai HU,Hui-jun XIONG,Bi-hai ZHAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4,   Pages 293-300 doi: 10.1631/FITEE.1400282

Abstract: In this paper, an evaluation criterion called overlap maximum matching ratio (OMMR) is proposed to analyze

Keywords： Protein-protein interaction network     Essential protein modules     Overlap     Overlap maximum matching ratio    

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Title Author Date Type Operation

Towards adaptable and tunable cloud-based map-matching strategy for GPS trajectories

Aftab Ahmed CHANDIO,Nikos TZIRITAS,Fan ZHANG,Ling YIN,Cheng-Zhong XU

Journal Article

Study on road network model based on virtual node joint

Zhu Zhuangsheng,Wang Qing,Wan Dejun

Journal Article

Traffic services for vehicles: the process from receiving raw probe data to space-time diagrams and the resulting traffic service

Markus AUER, Hubert REHBORN, Sven-Eric MOLZAHN, Micha KOLLER

Journal Article

Design of an enhanced visual odometry by building and matching compressive panoramic landmarks online

Wei LU,Zhi-yu XIANG,Ji-lin LIU

Journal Article

Beyond bag of latent topics: spatial pyramid matching for scene category recognition

Fu-xiang LU,Jun HUANG

Journal Article

A new method of rock-explosive matching in drilling and blasting based on reasonable control of the crushed

LengZhendong,LuWenbo,YanPeng, ChenMing,Hu Yingguo

Journal Article

Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Journal Article

Heuristic solution using decision tree model for enhanced XML schema matching of bridge structural calculation

Sang I. PARK, Sang-Ho LEE

Journal Article

A bacterial artificial chromosome-based physical map of

Yuhua FU,Zhiqiang XIA,Shujuan WANG,Xin CHEN,Cheng LU,Mingcheng LUO,Hongbin ZHANG,Wenquan WANG

Journal Article

A algorithm for binocular stereo matching in the presence of specular reflections

Lu Sijun,Tang Zhenmin,Guo Longyuan,Lu Ali

Journal Article

Map Update in Raster Mode by Means of Aerial and Space Images

Lin Zongjian

Journal Article

Multi-UAV collaborative system with a feature fast matching algorithm

Tian-miao Wang, Yi-cheng Zhang, Jian-hong Liang, Yang Chen, Chao-lei Wang,zycet@126.com

Journal Article

Study on channcl resolution matching algorithm for HY-2 satellite

Huang Lei,Zhou Wu,Li Yanmin

Journal Article

Thoughts and Suggestions on Autonomous Driving Map Policy

Liu Jingnan, Dong Yang, Zhan Jiao, Gao Kefu

Journal Article

Overlap maximum matching ratio (OMMR): a new measure to evaluate overlaps of essential modules

Xiao-xia ZHANG,Qiang-hua XIAO,Bin LI,Sai HU,Hui-jun XIONG,Bi-hai ZHAO

Journal Article