Analysis of the Thermal Environment in Pedestrian Space Using 3D Thermal Imaging

Zhao, Xuexiu; Luo, Yanwen; He, Jia

doi:10.3390/en13143674

Cited by 17 publications

(13 citation statements)

References 53 publications

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“…The drone quickly captured the entire territory. For high-quality drone scanning of public spaces, it is important to use a planned flight that guarantees full coverage of the area [9]. The planned flight will also be less time consuming compared to a comparable manual drone flight.…”

Section: Methodsmentioning

confidence: 99%

Prevention of the Spread of Viral Disease Using Artificial Intelligence from Data Obtained by UAVs

Prihodova

Jech

2021

SHS Web of Conf.

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Research background: One of the significant globalization consequences is a threat of rapidly spreading communicable diseases. In recent months, COVID-19 has spread worldwide. It is a highly infectious disease, which is manifested mainly by fever, respiratory problems, muscle pain and fatigue. Therefore, there is a need to reliable monitor people’s body temperature. If the monitoring process takes places in enclosed spaces, the procedure may be performed at the entrance to the building. However, the problem occurs in public spaces. Therefore, to solve this problem, we propose the use of a drone with a thermal camera for scanning people in public spaces and subsequent evaluation using classification methods. Purpose of the article: The aim of this article is to create a model for sensing and measuring the body temperature of people in public spaces so that the global impacts of COVID-19 on the economy and society are reduced. Methods: To monitor large areas, it is necessary to have suitable methods for obtaining quality data. One of the methods for obtaining data with the high spatial resolution is the use of UAVs with a planned flight. Artificial intelligence methods will be used for the classification of persons; their representatives are, e.g. convolutional neural networks. Findings & Value added: The proposed model of sensing and subsequent classification of people into groups (normal body temperature, elevated body temperature). The output of the model will help to monitor the spread of infectious diseases (the condition is a symptom - increased body temperature) in today’s globalized world.

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Section: Methodsmentioning

confidence: 99%

Prevention of the Spread of Viral Disease Using Artificial Intelligence from Data Obtained by UAVs

Prihodova

Jech

2021

SHS Web of Conf.

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“…Thermal imaging is commonly used to map the heatscape of street material, where issues of micro-scale urban heat islands, albedo, impacts of vegetation, and relative heat performance of different building compounds can be assessed by sensing. Work by Zhao et al [110], for example, introduced three-dimensional thermal imaging to assess the heat characteristics of different pedestrian spaces on streets. Other approaches use thermal sensing to identify pedestrians (by their temperature signatures) within thermal scenes [111], and a range of research has shown that heat sensing can be used to trace pedestrian movement outdoors.…”

Section: Sensorsmentioning

confidence: 99%

Smart and Sentient Retail High Streets

Torrens

2022

Smart Cities

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Here, we examine the extension of smart retailing from the indoor confines of stores, outward to high streets. We explore how several technologies at the union of retail intelligence and smart city monitoring could coalesce into retail high streets that are both smart and sentient. We examine the new vantages that smart and sentient retail high streets provide on the customer journey, and how they could transform retailers’ sway over customer experience with new reach to the public spaces around shops. In doing so, we pursue a three-way consideration of these issues, examining the technology that underpins smart retailing, new advances in artificial intelligence and machine learning that beget a level of street-side sentience, and opportunities for retailers to map the knowledge that those technologies provide to individual customer journeys in outdoor settings. Our exploration of these issues takes form as a review of the literature and the introduction of our own research to prototype smart and sentient retail systems for high streets. The topic of enhancing retailers’ acuity on high streets has significant currency, as many high street stores have recently been struggling to sustain custom. However, the production and application of smart and sentient technologies at hyper-local resolution of the streetscape conjures some sobering considerations about shoppers’ and pedestrians’ rights to privacy in public.

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“…Thermal infrared technology converts the thermal infrared signals from ground objects into visually distinguishable images, and calculates temperature values to reflect the surface temperature distribution. At present, the surface temperature distribution map obtained by this technology is the most intuitive method commonly used in urban research to reflect the regional thermal environment (Wu et al, 2016;Zhao et al, 2020).…”

Section: Y Pan and T Zhangmentioning

confidence: 99%

Outdoor Thermal Environment Assessment of Existing Residential Areas Supported by UAV Thermal Infrared and 3D Reconstruction Technology

Pan¹,

Zhang²

2022

CAADRIA Proceedings

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The underlying surface temperature is an effective evaluation index to study the urban micro-scale thermal environment. For surface temperature acquisition, the thermal infrared camera mounted on a unmanned aerial vehicle (UAV) can reduce field work intensity, improve data collection efficiency, and ensure high accuracy at low cost. In order to convert the 2D thermal image into a more intuitive 3D thermal model, the UAV-based thermal infrared 3D reconstruction is adopted. The key element of thermal infrared 3D model reconstruction lies in the processing of thermal infrared images with low resolution and different temperature scales. In order to improve the quality of the final thermal 3D model, this paper proposes the reconstruction of the detailed 3D mesh using visible images (higher resolution), and map then mapping thermal textures onto the mesh using thermal images (low resolution). In addition, absolute temperature values are extracted from thermal images with different temperature ranges to ensure consistence between color and temperature values in the reconstructed thermal 3D model. The thermal 3D model generated for an existing residential area in Nanjing successfully displays the temperature distribution of the underlying surface and provides a valuable basis for outdoor thermal environment assessment.

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Analysis of the Thermal Environment in Pedestrian Space Using 3D Thermal Imaging

Cited by 17 publications

References 53 publications

Prevention of the Spread of Viral Disease Using Artificial Intelligence from Data Obtained by UAVs

Prevention of the Spread of Viral Disease Using Artificial Intelligence from Data Obtained by UAVs

Smart and Sentient Retail High Streets

Outdoor Thermal Environment Assessment of Existing Residential Areas Supported by UAV Thermal Infrared and 3D Reconstruction Technology

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