Cargando…

Identification and Improvement of Hazard Scenarios in Non-Motorized Transportation Using Multiple Deep Learning and Street View Images

In the prioritized vehicle traffic environment, motorized transportation has been obtaining more spatial and economic resources, posing potential threats to the travel quality and life safety of non-motorized transportation participants. It is becoming urgent to improve the safety situation of non-m...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Yiwen, Liu, Di, Luo, Jiameng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9658839/ https://www.ncbi.nlm.nih.gov/pubmed/36360941 http://dx.doi.org/10.3390/ijerph192114054

Ejemplares similares

Cognitive—Motor Interference in an Ecologically Valid Street Crossing Scenario
por: Janouch, Christin, et al.
Publicado: (2018)

A deep learning approach to identify unhealthy advertisements in street view images
por: Palmer, Gregory, et al.
Publicado: (2021)

Deep mapping gentrification in a large Canadian city using deep learning and Google Street View
por: Ilic, Lazar, et al.
Publicado: (2019)

Exploration of street space architectural color measurement based on street view big data and deep learning—A case study of Jiefang North Road Street in Tianjin
por: Han, Xin, et al.
Publicado: (2023)

Using Deep Learning to Identify Utility Poles with Crossarms and Estimate Their Locations from Google Street View Images
por: Zhang, Weixing, et al.
Publicado: (2018)

The association of executive functions and physical fitness with cognitive-motor multitasking in a street crossing scenario
por: Mack, Melanie, et al.
Publicado: (2023)

Investigating the Association between Streetscapes and Mental Health in Zhanjiang, China: Using Baidu Street View Images and Deep Learning
por: Zhang, Anjing, et al.
Publicado: (2022)

Beyond here and now: evaluating pollution estimation across space and time from street view images with deep learning
por: Nathvani, Ricky, et al.
Publicado: (2023)

Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States
por: Gebru, Timnit, et al.
Publicado: (2017)

Measuring Perceived Psychological Stress in Urban Built Environments Using Google Street View and Deep Learning
por: Han, Xin, et al.
Publicado: (2022)

The influence of neighborhood quality on tourism in China: Using Baidu Street View pictures and deep learning techniques
por: Chen, Jieping, et al.
Publicado: (2022)

Using deep learning to examine street view green and blue spaces and their associations with geriatric depression in Beijing, China
por: Helbich, Marco, et al.
Publicado: (2019)

Assessing streetscape greenery with deep neural network using Google Street View
por: Kameoka, Taishin, et al.
Publicado: (2022)

A Study on Health Hazards to Employees near Main Streets
por: Choi, Dalwoong
Publicado: (2012)

MAPCERN links to Google Street View
por: Matilda Heron
Publicado: (2015)

Real-Time Navigation in Google Street View((®)) Using a Motor Imagery-Based BCI
por: Yang, Liuyin, et al.
Publicado: (2023)

Assessing the Impact of Street-View Greenery on Fear of Neighborhood Crime in Guangzhou, China
por: Jing, Fengrui, et al.
Publicado: (2021)

The linkage between the perception of neighbourhood and physical activity in Guangzhou, China: using street view imagery with deep learning techniques
por: Wang, Ruoyu, et al.
Publicado: (2019)

An interpretable machine learning framework for measuring urban perceptions from panoramic street view images
por: Liu, Yunzhe, et al.
Publicado: (2023)

Developing Sidewalk Inventory Data Using Street View Images
por: Kang, Bumjoon, et al.
Publicado: (2021)

Alcohol in urban streetscapes: a comparison of the use of Google Street View and on-street observation
por: Clews, Chris, et al.
Publicado: (2016)

CERN Opendays 2019 - ME-street view
por: Ordan, Julien Marius, et al.
Publicado: (2019)

Modeling the Effect of Streetscape Environment on Crime Using Street View Images and Interpretable Machine-Learning Technique
por: Xie, Huafang, et al.
Publicado: (2022)

How green are the streets? An analysis for central areas of Chinese cities using Tencent Street View
por: Long, Ying, et al.
Publicado: (2017)

The Association of Urban Greenness and Walking Behavior: Using Google Street View and Deep Learning Techniques to Estimate Residents’ Exposure to Urban Greenness
por: Lu, Yi
Publicado: (2018)

Built Environment Features Obtained from Google Street View Are Associated with Coronary Artery Disease Prevalence: A Deep-Learning Framework
por: Chen, Zhuo, et al.
Publicado: (2023)

Global-and-Local Context Network for Semantic Segmentation of Street View Images
por: Lin, Chih-Yang, et al.
Publicado: (2020)

Assessing Google Street View Image Availability in Latin American Cities
por: Fry, Dustin, et al.
Publicado: (2020)

How Green Are the Streets Within the Sixth Ring Road of Beijing? An Analysis Based on Tencent Street View Pictures and the Green View Index
por: Dong, Rencai, et al.
Publicado: (2018)

Complexity and healthcare organization: a view from the street
por: Sturmberg, Joachim P.
Publicado: (2005)

A Unified Framework for Street-View Panorama Stitching
por: Li, Li, et al.
Publicado: (2016)

Character recognition competition for street view shop signs
por: Tang, Jingqun, et al.
Publicado: (2023)

Scenarios for Ecodesign in loudspeaker’s motor
por: de Almeida, Allan Di Cunto D’Avila, et al.
Publicado: (2022)

Analysis of hazard perception characteristics based on driving behavior considering overt and covert hazard scenarios
por: Wei, Tianzheng, et al.
Publicado: (2022)

Google Street View Images as Predictors of Patient Health Outcomes, 2017–2019
por: Nguyen, Quynh C., et al.
Publicado: (2022)

Urban visual intelligence: Uncovering hidden city profiles with street view images
por: Fan, Zhuangyuan, et al.
Publicado: (2023)

Measuring social, environmental and health inequalities using deep learning and street imagery
por: Suel, Esra, et al.
Publicado: (2019)

Restorative perception of urban streets: Interpretation using deep learning and MGWR models
por: Han, Xin, et al.
Publicado: (2023)

Associations between street connectivity and active transportation
por: Berrigan, David, et al.
Publicado: (2010)

Deterministic full-scenario analysis for maximum credible earthquake hazards
por: Wang, Xiang-Chao, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_cnvt19rmgefpm75pojcg0444ic