Portable recording system for spherical thermography and its application to longwave mean radiant temperature estimation

Asawa, Takashi; Oshio, Haruki; Tanaka, Kazuki

doi:10.1016/j.buildenv.2022.109412

Cited by 4 publications

(1 citation statement)

References 33 publications

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“…Furthermore, the surface temperature derived from remote sensing data represents the temperature of the top of the tree canopy, building roofs, and the ground, which cannot fully represent the actual thermal stimuli experienced by street pedestrians [108]. As a result, researchers [110][111][112][113] have integrated infrared sensors into devices such as air vehicles, roof viewpoints, ground observation devices, and smartphones to gradually and accurately scale temperature collection from the urban scale to the neighborhood scale, building scale, and microscale [114]. Zhao et al [115] created a three-dimensional thermal imaging technique.…”

Section: Remote Sensing Image Measurementmentioning

confidence: 99%

Computer Vision Technology for Monitoring of Indoor and Outdoor Environments and HVAC Equipment: A Review

Yang

Zhu

et al. 2023

Sensors

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Artificial intelligence technologies such as computer vision (CV), machine learning, Internet of Things (IoT), and robotics have advanced rapidly in recent years. The new technologies provide non-contact measurements in three areas: indoor environmental monitoring, outdoor environ-mental monitoring, and equipment monitoring. This paper summarizes the specific applications of non-contact measurement based on infrared images and visible images in the areas of personnel skin temperature, position posture, the urban physical environment, building construction safety, and equipment operation status. At the same time, the challenges and opportunities associated with the application of CV technology are anticipated.

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