A Complete Reinforcement-Learning-Based Framework for Urban-Safety Perception

A Complete Reinforcement-Learning-Based Framework for Urban-Safety Perception

Urban-safety perception is crucial for urban planning and pedestrian street preference studies. With the development of deep learning and the availability of high-resolution street images, the use of artificial intelligence methods to deal with urban-safety perception has been considered adequate by...

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Bibliographic Details
Main Authors: Yaxuan Wang, Zhixin Zeng, Qiushan Li, Yingrui Deng
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:ISPRS International Journal of Geo-Information
Subjects:
urban-safety perception
reinforcement learning
scene understanding
artificial intelligence
interpretability
feature extraction
Online Access:https://www.mdpi.com/2220-9964/11/9/465

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https://www.mdpi.com/2220-9964/11/9/465

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