Results 21 to 30 of about 516,199 (334)
A Deep Learning Framework for Video-Based Vehicle Counting
Frontiers in Physics, 2022 Traffic surveillance can be used to monitor and collect the traffic condition data of road networks, which plays an important role in a wide range of applications in intelligent transportation systems (ITSs). Accurately and rapidly detecting and counting
Haojia Lin +9 more
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SMART MOBILITY IN SMART CITIES
Libro de Actas CIT2016. XII Congreso de Ingeniería del Transporte, 2016 Cities are currently undergoing a transformation into the Smart concept, like Smartphones or SmartTV. Many initiatives are being developed in the framework of the Smart Cities projects, however, there is a lack of consistent indicators and methodologies to assess, finance, prioritize and implement this kind of projects.
Moreno Alonso, Concepción +2 more
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Energies, 2021 One of the measures to fight against the current energy situation and reduce the energy consumption at an industrial process is to recover waste heat and transform it into electric power.
Miguel Araiz +4 more
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SMART CITY, CONCEPT OF SMART CITIES
, 2023 "Science and innovation" international scientific journal.
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Redai dili, 2023 The travel efficiency of public transportation is a key indicator for judging whether the quality of public transportation has developed compared with other modes of transportation, especially private vehicles.
Xu Caiwei +4 more
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Sensors, 2020 Although there is an important lack of commercial thermoelectric applications mainly due to their low efficiency, there exist some cases in which thermoelectric generators are the best option thanks to their well-known advantages, such as reliability ...
Leyre Catalan +5 more
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INDOOR SCENE REGISTRATION BASED ON SIAMESE NETWORK AND POINTNET [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 This paper presents a deep learning feature-based method for registration of indoor mobile LiDAR data. Our method is to input point cloud directly, which is more robust to noise than traditional algorithms. The proposed method involves three steps.
Z. Zhang +7 more
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Connected seeds and sensors: co-designing internet of things for sustainable smart cities with urban food-growing communities. [PDF]
, 2018 We present a case study of a participatory design project in the space of sustainable smart cities and Internet of Things. We describe our design process that led to the development of an interactive seed library that tells the stories of culturally ...
Baggio Aline +4 more
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A MULTI-SCALE POINT CLOUDS SEGMENTATION METHOD FOR URBAN SCENE CLASSIFICATION USING REGION GROWING BASED ON MULTI-RESOLUTION SUPERVOXELS WITH ROBUST NEIGHBORHOOD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Point clouds classification is the basis for 3D spatial information extraction and applications. The point-clusters-based methods are proved to be more efficient and accurate than the point-based methods, however, the precision of the classification is ...
J. Huang, L. Xie, W. Wang, X. Li, R. Guo
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Branching the limits: Robust 3D tree reconstruction from incomplete laser point clouds
International Journal of Applied Earth Observations and Geoinformation, 2023 Accurate individual tree reconstruction based on laser point clouds is vital for precise biomass estimation, virtual geographic environment modeling, and simulation.
Weixi Wang +8 more
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