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Minshi Liu, Ling Zhang, Yi Long, Yong Sun and Mingwei Zhao
With the rising popularity of portable mobile positioning equipment, the volume of mobile trajectory data is increasing. Therefore, trajectory data compression has become an important basis for trajectory data processing, analysis, and mining. According ...
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Alireza Hajiheidari, Mahmoud Reza Delavar and Abbas Rajabifard
Enriching and updating maps are among the most important tasks of any urban management organization for informed decision making. Urban cadastral map enrichment is a time-consuming and costly process, which needs an expert?s opinion for quality control. ...
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Benny Wijaya, Mengmeng Yang, Tuopu Wen, Kun Jiang, Yunlong Wang, Zheng Fu, Xuewei Tang, Dennis Octovan Sigomo, Jinyu Miao and Diange Yang
This research paper employed a multi-session framework to present an innovative approach to map monitoring within the domain of high-definition (HD) maps. The proposed methodology uses a machine learning algorithm to derive a confidence level for the det...
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Lianlian He, Hao Li and Rui Zhang
Recent advances in knowledge graphs show great promise to link various data together to provide a semantic network. Place is an important part in the big picture of the knowledge graph since it serves as a powerful glue to link any data to its georeferen...
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Lin Qu, Yue Zhou, Jiangxin Li, Qiong Yu and Xinguo Jiang
Map matching of trajectory data has wide applications in path planning, traffic flow analysis, and intelligent driving. The process of map matching involves matching GPS trajectory points to roads in a roadway network, thereby converting a trajectory seq...
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Xuyu Feng, Jianhua Yu, Zihan Kan, Lin Zhou, Luliang Tang and Xue Yang
With the advent of the information age and rapid population growth, the urban transportation environment is deteriorating. Travel-route planning is a key issue in modern sustainable transportation systems. When conducting route planning, identifying the ...
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Xin Chen, Longgang Xiang, Fengwei Jiao and Huayi Wu
OpenStreetMap (OSM) road networks provide public digital maps underlying many spatial applications such as routing engines and navigation services. However, turning relationships and time restrictions at OSM intersections are lacking in these maps, posin...
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Xiangming Lei, Mingliang Wu, Yajun Li, Anwen Liu, Zhenhui Tang, Shang Chen and Yang Xiang
To achieve the rapid recognition and accurate picking of Camellia oleifera fruits, a binocular vision system composed of two industrial cameras was used to collect images of Camellia oleifera fruits in natural environments. The YOLOv7 convolutional neura...
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Yulong Bai, Guolian Li, Tianxiu Lu, Yadong Wu, Weihan Zhang and Yidan Feng
Most existing road network matching algorithms are designed based on previous rules and do not fully utilize the potential of big data and historical tracks. To solve this problem, we introduce a new road network matching algorithm based on deep learning...
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Feihu Zhang, Diandian Xu and Chensheng Cheng
Multi-vehicle collaborative mapping proves more efficient in constructing maps in unfamiliar underwater environments in comparison to single-vehicle methods. One of the pivotal hurdles of Simultaneous Localization and Mapping (SLAM) with multiple underwa...
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