Identifying safe intersection design through unsupervised feature extraction from satellite imagery-Reference-Cited by-同舟云学术

Identifying safe intersection design through unsupervised feature extraction from satellite imagery

Published:2020-10-19 Issue:3 Volume:36 Page:346-361
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer‐Aided Civil and Infrastructure Engineering

Author:

Wijnands Jasper S.¹,Zhao Haifeng¹,Nice Kerry A.¹,Thompson Jason¹,Scully Katherine¹,Guo Jingqiu²,Stevenson Mark¹³⁴

Affiliation:

1. Transport, Health and Urban Design Research Lab, Melbourne School of Design The University of Melbourne VIC Australia

2. Key Laboratory of Road and Traffic Engineering of the Ministry of Education Tongji University Shanghai China

3. Melbourne School of Engineering The University of Melbourne VIC Australia

4. Melbourne School of Population and Global Health The University of Melbourne VIC Australia

Funder

National Health and Medical Research Council

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12623

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