%0 Journal Article %1 journals/aeog/ShiYLCC22 %A Shi, Wenzhong %A Yu, Yue %A Liu, Zhewei %A Chen, Ruizhi %A Chen, Liang %D 2022 %J Int. J. Appl. Earth Obs. Geoinformation %K dblp %P 103065 %T A deep-learning approach for modelling pedestrian movement uncertainty in large- scale indoor areas. %U http://dblp.uni-trier.de/db/journals/aeog/aeog114.html#ShiYLCC22 %V 114

@article{journals/aeog/ShiYLCC22, added-at = {2023-09-30T00:00:00.000+0200}, author = {Shi, Wenzhong and Yu, Yue and Liu, Zhewei and Chen, Ruizhi and Chen, Liang}, biburl = {https://www.bibsonomy.org/bibtex/21213ff3504b5f60466b95c1fa529c267/dblp}, ee = {https://doi.org/10.1016/j.jag.2022.103065}, interhash = {c8387d1da8ef1c472592a1bc777ca4fd}, intrahash = {1213ff3504b5f60466b95c1fa529c267}, journal = {Int. J. Appl. Earth Obs. Geoinformation}, keywords = {dblp}, pages = 103065, timestamp = {2024-04-09T02:20:50.000+0200}, title = {A deep-learning approach for modelling pedestrian movement uncertainty in large- scale indoor areas.}, url = {http://dblp.uni-trier.de/db/journals/aeog/aeog114.html#ShiYLCC22}, volume = 114, year = 2022 }