Smart lighting control system based on fusion of monocular depth estimation and multi-object detection

Shen, Daleng; Ning, Chenguang; Wang, Yingjie; Duan, Wenjun; Duan, Peiyong

doi:10.1016/j.enbuild.2022.112485

Cited by 5 publications

(1 citation statement)

References 35 publications

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“…The inclusion of lighting demand associated with nighttime human activities (E 4 ) in the calculation is attributed to the importance of the human-centered concept of lighting planning and construction [71]. This importance can be briefly described as attention to social elements that reflect people's quality of life [72].…”

Section: Description Of Model Factors and Parameter Assignmentmentioning

confidence: 99%

Supply and Demand for Planning and Construction of Nighttime Urban Lighting: A Comparative Case Study of Binjiang District, Hangzhou

et al. 2023

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Demand planning-oriented research on nighttime urban lighting provides a foundation for formulating strategies to eliminate dark areas and reduce light pollution. In this paper, Binjiang District of Hangzhou was investigated. Four factors, namely land-use type, road grade, parcel volume, and nighttime crowds, were evaluated. Based on the spatiotemporal geographic data and the urban lighting planning of Hangzhou, a calculation method for the supply and demand of urban lighting at night in Hangzhou was constructed. In this process, the current state of lighting brightness in different areas of the district were calculated and compared with the results of the total lighting demand to analyze reasonableness. The research results show that according to the actual lighting demand classification, the first to fifth levels of lighting control zones accounted for 1.84%, 19.69%, 49.61%, 21.74%, and 7.12% of the total statistical land area of the district, respectively. Focus should thus be placed on the second, third, and fourth levels of lighting control zones when covering lighting demand. Importantly, areas with unreasonable supply and demand for lighting construction accounted for 20.8% of the total statistical land area, indicating that the nighttime lighting demand and carbon emissions in the Riverside District should be adjusted and optimized. This paper proposes a research method to compare supply and demand for the planning and construction of nighttime urban lighting, which can improve the science on lighting demand measurement.

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Section: Description Of Model Factors and Parameter Assignmentmentioning

confidence: 99%