CityFeel - micro climate monitoring for climate mitigation and urban design

Gallinelli, Peter Giulio; Camponovo, Reto; Guillot, Victor

doi:10.1016/j.egypro.2017.07.427

Cited by 8 publications

(3 citation statements)

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“…To overcome the limitations of mobile measurements in vehicles, portable/wearable sensing devices with strong communication capabilities and low costs are gaining popularity [91]. Wearable devices that integrate miniature weather stations and embedded sensors with helmets and backpacks can continuously monitor spatial and temporal changes in information such as microclimatic parameters [92,93], physiological parameters [94], geographic locations [95], concentrations of various pollutants [96,97], and noise [98] in real time, and they transmit and store the data via wireless networks. On this basis, Kulkarni et al [99] integrated vision systems and machine learning algorithms into an Internet of Things (IoT) weather sensing system and proposed MaRTiny, a new low-cost computer vision biometeorological sensing device.…”

Section: Field Measurementsmentioning

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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Section: Field Measurementsmentioning

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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“…It stores walkability information about points of obstacle collected along the network with the essential element of a street-level picture of each obstacle. To collect these pictures we first used a mass-capture approach with two different solutions: (1) the CityFeel backpack which integrates multiple sensors including geo-positioning with a hemispheric camera (Gallinelli et al, 2017), ( 2) a simpler solution based on a GoPro camera with GPS attached on a scooter. But any geolocated image can be used to feed our framework, as long as it is a pedestrian view (versus roadway view, e.g.…”

Section: Data Acquisitionmentioning

confidence: 99%

CITIZEN PARTICIPATION & DIGITAL TOOLS TO IMPROVE PEDESTRIAN MOBILITY IN CITIES

Ertz¹,

Fischer

Ghorbel

et al. 2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. In this work, we present a framework supported by mobile and web apps and able to propose personalized pedestrian routes that match user mobility profile considering mobility impediments factors. We explain how these later have been defined using a pedestrian-centric approach based on travel experiences as perceived in the field by senior citizens. Through workshops, six main factors that may influence pedestrian route choices were revealed: passability, obstacle in path, surface problem, security, sidewalk width, slope. These categories were used to build digital tools and guide a citizen participatory approach to collect geolocated points of obstacle documented with walkability information (picture, category, impact score, free comment). We also involved citizens to evaluate these information and especially senior referents for validation. Finally we present how we connect these points of obstacle with a pedestrian network based on OpenStreetMap to configure a routing cost function. The framework has been partially deployed in 2020 with limited people due to the pandemic. Nonetheless, we share lessons learned from interaction with citizens in the design of such a framework whose underlying workflow is reproducible. We plan to further assess its relevance and sustainability in the future.

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“…This kind of approach was adopted, for example, in the city of Santander in Spain within "SmartSantander" project [2]; • The second approach is based on the installation of a dynamic system capable to monitor environmental variables that are then GPS geolocalized and automatically sent to a server by a data connection system. This kind of approach was followed in the Belgrade city in Serbia within the same "SmartSantander" project [2] and in the "CityFeel" project [3].…”

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confidence: 99%

How to Define the Urban Comfort in the Era of Smart Cities through the Use of the Do-It-Yourself Approach and New Pervasive Technologies

Salamone

Belussi

Danza

et al. 2017

The 4th International Electronic Conference on Sensors and Applications

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Abstract:The "Smart" concept applied to the cities intends to improve different fields of the urban context and in particular the life quality of citizens. An important part of the overall well-being is the urban comfort, defined as a function of some environmental parameters. The knowledge and the widespread collection of the geospatial information allow the implementation of a model able to estimate the urban comfort level. In this respect, a dynamic monitoring system was developed following the Do It Yourself (DIY) approach that allow to collect and send data to a cloud server. The article describes the implementation phases of the device, a first experimental application conducted in Milan and a critical analysis of this approach.

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CityFeel - micro climate monitoring for climate mitigation and urban design

Cited by 8 publications

References 0 publications

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

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

CITIZEN PARTICIPATION & DIGITAL TOOLS TO IMPROVE PEDESTRIAN MOBILITY IN CITIES

How to Define the Urban Comfort in the Era of Smart Cities through the Use of the Do-It-Yourself Approach and New Pervasive Technologies

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