Integrating street view imagery and taxi trajectory for identifying urban function of street space
Geo-spatial Information ScienceStreet space is a crucial component of public space, serving as a site for a variety of human activities. However, prior studies have primarily focused on the traffic function of street space, neglecting other functional types, such as residential and ...
Mianxin Gao +6 more
doaj +1 more source
PLoS ONE, 2022 Urban growth and decline occur every year and show changes in urban areas. Although various approaches to detect urban changes have been developed, they mainly use large-scale satellite imagery and socioeconomic factors in urban areas, which provides an ...
Giyoung Byun, Youngchul Kim
doaj
Surface temperatures in New York City: Geospatial data enables the accurate prediction of radiative heat transfer [PDF]
, 2017 Three decades into the research seeking to derive the urban energy budget, the dynamics of the thermal exchange between the densely built infrastructure and the environment are still not well understood.
Aghamohamadnia, Milad +2 more
core +5 more sources
Magical urbanism:Walter Benjamin and utopian realism in the film Ratcatcher [PDF]
, 2002 Deploys Walter Benjamin to discuss fantastical representations of childhood and class in the film ...
Law, Alex, Law, Jan
core +3 more sources
Usage of street-level imagery for city-wide graffiti mapping
LatinX in AI at International Conference on Machine Learning 2019, 2019 Graffiti is a common phenomenon in urban scenarios. Differently from urban art, graffiti tagging is a vandalism act and many local governments are putting great effort to combat it. The graffiti map of a region can be a very useful resource because it may allow one to potentially combat vandalism in locations with high level of graffiti and also to ...
Tokuda, Eric K. +2 more
openaire +2 more sources
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks [PDF]
, 2014 Recognizing arbitrary multi-character text in unconstrained natural photographs is a hard problem. In this paper, we address an equally hard sub-problem in this domain viz. recognizing arbitrary multi-digit numbers from Street View imagery.
Arnoud, Sacha +4 more
core
The MATSim Network Flow Model for Traffic Simulation Adapted to Large-Scale Emergency Egress and an Application to the Evacuation of the Indonesian City of Padang in Case of a Tsunami Warning [PDF]
, 2009 The evacuation of whole cities or even regions is an important problem, as demonstrated by recent events such as evacuation of Houston in the case of Hurricane Rita or the evacuation of coastal cities in the case of Tsunamis.
Klüpfel, Hubert +2 more
core +1 more source
Text Detection and Recognition on Traffic Panels From Street-Level Imagery Using Visual Appearance [PDF]
IEEE Transactions on Intelligent Transportation Systems, 2014 Traffic sign detection and recognition has been thoroughly studied for a long time. However, traffic panel detection and recognition still remains a challenge in computer vision due to its different types and the huge variability of the information depicted in them.
González Arroyo, Álvaro +2 more
openaire +2 more sources
Metric Localization using Google Street View
, 2015 Accurate metrical localization is one of the central challenges in mobile robotics. Many existing methods aim at localizing after building a map with the robot.
Agarwal, Pratik +2 more
core +1 more source
Mission 73 - Summary and data catalog [PDF]
, 1969 Earth resources program geographic applications program summary, recommendations, and data catalog for remote sensor mission ...
North, G. W., Pascucci, R. F.
core +2 more sources