DeepAI AI Chat
Log In Sign Up

Predicting city safety perception based on visual image content

02/19/2019
by   Sergio Acosta, et al.
Universidad Nacional de Colombia
0

Safety perception measurement has been a subject of interest in many cities of the world. This is due to its social relevance, and to its effect on some local economic activities. Even though people safety perception is a subjective topic, sometimes it is possible to find out common patterns given a restricted geographical and sociocultural context. This paper presents an approach that makes use of image processing and machine learning techniques to detect with high accuracy urban environment patterns that could affect citizen's safety perception.

READ FULL TEXT
01/23/2020

Indexical Cities: Articulating Personal Models of Urban Preference with Geotagged Data

How to assess the potential of liking a city or a neighborhood before ev...
08/05/2016

Deep Learning the City : Quantifying Urban Perception At A Global Scale

Computer vision methods that quantify the perception of urban environmen...
02/16/2021

A Review of Testing Object-Based Environment Perception for Safe Automated Driving

Safety assurance of automated driving systems must consider uncertain en...
09/14/2015

Natural scene statistics mediate the perception of image complexity

Humans are sensitive to complexity and regularity in patterns. The subje...
09/11/2019

An Automated Vehicle (AV) like Me? The Impact of Personality Similarities and Differences between Humans and AVs

To better understand the impacts of similarities and dissimilarities in ...
11/02/2020

Ridesharing Services and Car-Seats: Technological Perceptions and Usage Patterns

Children are one of the most vulnerable groups in traffic crashes. Child...
08/01/2022

Safe Perception – A Hierarchical Monitor Approach

Our transportation world is rapidly transforming induced by an ever incr...