Xianyin Lou

<?xml version='1.0' encoding='utf8'?> Lou, Xiayin;Sun, Min;Yang, Hanjun;Yang, Shihao 2024-04-08T17:41:58 go73hoy 10.3390/ijgi12120475 2220-9964 12 ISPRS International Journal of Geo-Information 12 475 2023-11-21 MDPI AG FINNCH: Cooperative Pursuit Navigation for a Pursuer Team to Capture a Single Evader in Urban Environments Zeitschriftenaufsatz 2023-00-00T00:00:00 Author(s): Lou, Xiayin;Sun, Min;Yang, Hanjun;Yang, Shihao Title: FINNCH: Cooperative Pursuit Navigation for a Pursuer Team to Capture a Single Evader in Urban Environments Journal title: ISPRS International Journal of Geo-Information Year: 2023 Volume: 12 Issue: 12 Pages: 475 Yang, Shihao;Sun, Min;Lou, Xiayin;Yang, Hanjun;Zhou, Hang 2024-04-08T17:41:11 go73hoy 10.3390/rs15030663 2072-4292 3 Remote Sensing 15 663 2023-01-22T00:00:00 MDPI AG An Unpaired Thermal Infrared Image Translation Method Using GMA-CycleGAN Zeitschriftenaufsatz 2024-04-08T17:41:31 Xiayin Lou 2023-00-00T00:00:00 Author(s): Yang, Shihao;Sun, Min;Lou, Xiayin;Yang, Hanjun;Zhou, Hang Title: An Unpaired Thermal Infrared Image Translation Method Using GMA-CycleGAN Journal title: Remote Sensing Year: 2023 Volume: 15 Issue: 3 Pages: 663 Fine-grained navigation is becoming increasingly demanded in urban areas. However, current navigation software fails to provide accurate paths on grounds without roads (GWR) like residential communities, squares, parks, etc. In this work, a method for the construction of fine-grained navigation networks for urban environments is developed. Remote sensing images are used to estimate the traversability of GWR. A Voronoi diagram that conforms to important shapes, such as buildings, is created for the spatial partitioning of GWR into meaningful atomic regions. A computational model of traversability is constructed based on the Voronoi diagram to construct the navigation mesh of GWR. A fine-grained navigation network is then generated by integrating the GWR navigation mesh and urban road networks. Two experiments are performed to evaluate the effectiveness and efficiency of the proposed method. The results show that the proposed method performs well in both the representation of traversability in GWR and fine-grained path planning in urban areas. Moreover, the integration of the fine navigation mesh and urban road networks proves that such a method has the potential to provide fine-grained navigation services. Lou, Xiayin;Sun, Min;Yang, Shihao 2024-04-08T17:29:07 go73hoy https://doi.org/10.1016/j.jag.2022.102994 International Journal of Applied Earth Observation and Geoinformation 113 LOU2022102994 Fine-grained navigation, Navigation mesh, Grounds without roads, Voronoi diagram 1569-8432 102994 A fine-grained navigation network construction method for urban environments Zeitschriftenaufsatz 2024-04-08T17:29:31 Xiayin Lou https://www.sciencedirect.com/science/article/pii/S1569843222001856 2022-00-00T00:00:00 Author(s): Lou, Xiayin;Sun, Min;Yang, Shihao Title: A fine-grained navigation network construction method for urban environments Journal title: International Journal of Applied Earth Observation and Geoinformation Year: 2022 Volume: 113 Pages: 102994

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M. Xiayin Lou

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