Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery

M Hosseini, A Sevtsuk, F Miranda, RM Cesar Jr… - … Environment and Urban …, 2023 - Elsevier
While cities around the world are increasingly promoting streets and public spaces that
prioritize pedestrians over vehicles, significant data gaps have made pedestrian mapping …

A network-level sidewalk inventory method using mobile LiDAR and deep learning

Q Hou, C Ai - Transportation research part C: emerging technologies, 2020 - Elsevier
Sidewalks are a critical infrastructure to facilitate essential daily trips for pedestrian and
wheelchair users. The dependence on the infrastructure and the increasing demand from …

CitySurfaces: City-scale semantic segmentation of sidewalk materials

M Hosseini, F Miranda, J Lin, CT Silva - Sustainable Cities and Society, 2022 - Elsevier
While designing sustainable and resilient urban built environment is increasingly promoted
around the world, significant data gaps have made research on pressing sustainability …

Converting street view images to land cover maps for metric mapping: A case study on sidewalk network extraction for the wheelchair users

H Ning, Z Li, C Wang, ME Hodgson, X Huang… - … , Environment and Urban …, 2022 - Elsevier
Street view images are now widely used in web map services, providing on-site photos of
street scenes for users to explore without physically being in the field. These photos record …

Deer crossing road detection with roadside LiDAR sensor

J Chen, H Xu, J Wu, R Yue, C Yuan, L Wang - Ieee Access, 2019 - ieeexplore.ieee.org
Deer crossing roads are a major concern of highway safety in rural and suburban areas in
the United States. This paper provided an innovative approach to detecting deer crossing at …

Raster-based background filtering for roadside LiDAR data

B Lv, H Xu, J Wu, Y Tian, C Yuan - Ieee Access, 2019 - ieeexplore.ieee.org
The roadside deployed light detecting and ranging (LiDAR) has been a solution to fill the
data gap for the transition period from the unconnected-vehicles environment to the …

Outlier bias: AI classification of curb ramps, outliers, and context

S Deitz - Big Data & Society, 2023 - journals.sagepub.com
Technologies in the smart city, such as autonomous vehicles and delivery robots, promise to
increase the mobility and freedom of people with disabilities. These technologies have also …

Towards routine, city-scale accessibility metrics: Graph theoretic interpretations of pedestrian access using personalized pedestrian network analysis

N Bolten, A Caspi - PLoS one, 2021 - journals.plos.org
A wide range of analytical methods applied to urban systems address the modeling of
pedestrian behavior. These include methods for multimodal trip service areas, access to …

Developing sidewalk inventory data using street view images

B Kang, S Lee, S Zou - Sensors, 2021 - mdpi.com
(1) Background: Public sidewalk GIS data are essential for smart city development. We
developed an automated street-level sidewalk detection method with image-processing …

[HTML][HTML] Automating the inventory of the navigable space for pedestrians on historical sites: Towards accurate path planning

D Treccani, A Fernández, L Díaz-Vilariño… - International Journal of …, 2023 - Elsevier
Pedestrian mobility networks have a primary role on historical urban areas, hence
knowledge of navigable space for pedestrians becomes crucial. Collection and inventory of …