Jiang Jian Wu

• Ph.D.
• Teacher at Guilin University of Technology

Fast and accurate extraction of multi-scale semantic information is crucial for indoor applications such as navigation and personalized services. This paper focuses on large-scale indoor scene categories and small-scale indoor element semantics, proposing an RGB-based dual-task model for scene recognition and semantic segmentation. The model employ...

Fine-grained indoor navigation services require obstacle-level indoor maps to support, but since indoor environments are affected by human activities, resulting in frequent changes in indoor spatial layouts, and indoor environments are easily affected by light and occlusion, the vast majority of indoor maps are at room level, limiting indoor obstac...

The effective association of multimodal data is the basis of massive multi-source heterogeneous data sharing in the era of big data. How to realize data autonomous association between massive multimodal databases and the automatic intelligent screening of valuable information from associated data, so as to provide a reliable data source for artific...

Indoor scene recognition remains a challenging problem in the fields of artificial intelligence and computer vision due to the complexity, similarity, and spatial variability of indoor scenes. The existing research is mainly based on 2D data, which lacks 3D information about the scene and cannot accurately identify scenes with a high frequency of c...

Multiple-object tracking (MOT) is a fundamental task in computer vision and is widely applied across various domains. However, its algorithms remain somewhat immature in practical applications. To address the challenges presented by complex scenarios featuring instances of missed detections, false alarms, and frequent target switching leading to tr...

Building point cloud completion is the process of reconstructing missing parts of a building’s point cloud, which have been affected by external factors during data collection, to restore the original geometric shape of the building. However, the uncertainty in filling point positions in the areas where building features are missing makes it challe...

With the development of various location-based social networks (LSBNs), personalized point-of-interest (POI) recommendations have become a recent research hotspot. Current recommendation methods tend to mine user preferences from their historical check-in records but overlook interest deviations caused by real-time geographic environments and immed...

A map construction method based on a collision probability model and an improved A* algorithm is proposed to address the issues of insufficient security in mobile robot map construction and path planning in complex environments. The method is based on modeling the asymmetry of paths, which complicates problem solving. Firstly, this article construc...

With the increasing demand for remote sensing image applications, extracting the required images from a huge set of remote sensing images has become a hot topic. The previous retrieval methods cannot guarantee the efficiency, accuracy, and interpretability in the retrieval process. Therefore, we propose a bag-of-words association mapping method tha...

An obstacle element map is the basis of indoor navigation space subdivision. Effective and reasonable indoor space subdivision can improve the fineness of indoor navigation path planning. To divide an indoor navigation space more finely, an indoor obstacle element map construction method based on scene-aware a priori rules for obstacles is proposed...

As an important research direction in the field of computer vision, the precise positioning and tracking of dynamic targets in surveillance video has become a research hotspot in the surveillance field in recent years.Traditional video dynamic target detection relies only on image feature data, ignoring accurate matching with geographic coordinate...

Aiming at the problems of low mining efficiency, strong subjectivity and too many association relations generated by classical mining algorithms, a novel algorithm for association rule mining of high-dimensional data is designed in terms of both sample selection and association rule generation. The algorithm reduces the impact of weak samples at th...

The distribution of urban functional space is an important factor to measure the development of a city. Its reasonable layout plays an important role in the development of urban economy and the optimization of urban spatial pattern. This paper is based on the third ring road of Nanning city Based on POI data, the functional land is divided into fiv...

It is a hotspot problem to quickly extract valuable information and knowledge hidden in the complex, different types, fuzzy and huge amount of space-time trajectory data. In the space-time trajectory data clustering method, according to the existing deficiencies of the classical K-means algorithm, the mathematical distance method and effective iter...

In order to study the correlation between the annual dynamic change characteristics of vegetation and climatic factors in Haihe River Basin in recent 14 years. The MODIS / NDVI data from 2003 to 2016 were used to extract the vegetation coverage of the Haihe River Basin. driver of NDVI changes in the Haihe River basin. The one-dimensional linear reg...

In view of the lack of consideration of user behavior motives in traditional personalized precision service systems, the accuracy of service content is not high.In order to solve this problem, research on personalized accurate service push method based on active geographic perception. By constructing a geographic feature information model, get the...

With the development of science and technology and the progress of society, urban construction in China is also developing rapidly. Intelligent address coding plays an important role in urban planning and design. Therefore, the study of smart urban address coding method can make a great contribution to the construction of a smart city. Based on the...

With the popularization and application of emerging Internet technologies such as big data and cloud computing, the traditional B2B and B2C warehousing logistics management modes have not achieved synergy between various distribution stations and suppliers, achieving “one-to-one” means a distribution station is supplied by a manufacturer, and a cus...

Land surface temperature is one of the most important parameters in hydrology and agricultural production research . Split-window algorithm based on MODIS data was briefly introduced in this paper and applied in Hetao Irrigation District. Comparison between data retrieval and field collected data showed that data retrieval could reflect land surfac...