Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery
While cities around the world are increasingly promoting streets and public spaces that
prioritize pedestrians over vehicles, significant data gaps have made pedestrian mapping …
prioritize pedestrians over vehicles, significant data gaps have made pedestrian mapping …
A network-level sidewalk inventory method using mobile LiDAR and deep learning
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 …
wheelchair users. The dependence on the infrastructure and the increasing demand from …
CitySurfaces: City-scale semantic segmentation of sidewalk materials
While designing sustainable and resilient urban built environment is increasingly promoted
around the world, significant data gaps have made research on pressing sustainability …
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
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 …
street scenes for users to explore without physically being in the field. These photos record …
Deer crossing road detection with roadside LiDAR sensor
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 …
the United States. This paper provided an innovative approach to detecting deer crossing at …
Raster-based background filtering for roadside LiDAR data
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 …
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 …
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
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 …
pedestrian behavior. These include methods for multimodal trip service areas, access to …
Developing sidewalk inventory data using street view images
(1) Background: Public sidewalk GIS data are essential for smart city development. We
developed an automated street-level sidewalk detection method with image-processing …
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
Pedestrian mobility networks have a primary role on historical urban areas, hence
knowledge of navigable space for pedestrians becomes crucial. Collection and inventory of …
knowledge of navigable space for pedestrians becomes crucial. Collection and inventory of …