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Yanjie Sun, Mingguang Wu, Xiaoyan Liu and Liangchen Zhou
High-precision dynamic traffic noise maps can describe the spatial and temporal distributions of noise and are necessary for actual noise prevention. Existing monitoring point-based methods suffer from limited spatial adaptability, and prediction model-b...
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Yueyong Pang, Lizhi Miao, Liangchen Zhou and Guonian Lv
Indoor space is a core part of supporting indoor applications. Most of the existing indoor space models are expressed from three space scales: building, floor, and room, and the granularity is not fine enough, lacking the expression of each functional su...
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Guannan Li, Xiu Lu, Bingxian Lin, Liangchen Zhou and Guonian Lv
In order to realize the management of various street objects in smart cities and smart transportation, it is very important to determine their geolocation. Current positioning methods of street-view images based on mobile mapping systems (MMSs) mainly re...
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Liangchen Zhou, Wenjie Lian, Yudi Zhang and Bingxian Lin
Topological distortion seriously affects spatial cognition. To solve this problem caused by the integration of vector features in discrete global grid systems (DGGs), a topology-preserving gridding method for vector features is proposed. The method propo...
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Chi Zhang, Yunping Liu, Chen Lin, Liangchen Zhou, Bingxian Lin and Mingliang Che
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Yueyong Pang, Chi Zhang, Liangchen Zhou, Bingxian Lin and Guonian Lv
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