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Landscape Architecture Frontiers

Landsc. Archit. Front.    2018, Vol. 6 Issue (2) : 94-101     https://doi.org/10.15302/J-LAF-20180210
THEMATIC PRACTICES
STREETALK: A NAVIGATION SYSTEM FOR PEDESTRIANS AND CYCLISTS
Liu LIU, Fan ZHANG, Bolei ZHOU, Zhoutong WANG, Yingxin LI()
上海市普陀区宁夏路777号财通坤田大楼4楼
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Abstract

Different from the conventional efficiency-driven navigation systems, StreeTalk navigation system is developed for pedestrians and cyclists to optimize their travelling safety and comfort. Through the application of technologies including object detection and scene parsing, the characteristics of urban streetscapes can be extracted. By combining deep learning models, machines can imitate human’s perception and evaluate streetscapes automatically, and intuitively show users the street safety and comfort level of different commuting options. Relevant technologies can not only be applied in offering panorama navigation services for pedestrians and cyclists, but also better support urban research, inform decision-making and urban landscape design, and explore more possibilities for future urban life.

Keywords Urban Street      Safety and Comfort      Navigation System for Pedestrians and Cyclists      Deep Learning      Object Detection      Scene Parsing     
Corresponding Author(s): Yingxin LI   
Issue Date: 26 June 2018
 Cite this article:   
Liu LIU,Fan ZHANG,Bolei ZHOU, et al. STREETALK: A NAVIGATION SYSTEM FOR PEDESTRIANS AND CYCLISTS[J]. Landsc. Archit. Front., 2018, 6(2): 94-101.
 URL:  
http://journal.hep.com.cn/laf/EN/10.15302/J-LAF-20180210
http://journal.hep.com.cn/laf/EN/Y2018/V6/I2/94
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Liu LIU
Fan ZHANG
Bolei ZHOU
Zhoutong WANG
Yingxin LI
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