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 …

In the near future, the communication between autonomous cars will produce a network of
sensors that will allow us to know the state of the roads in real time. Lidar technology, upon …

Infrastructure inspection is fundamental to keep its service performance at the highest level.
For that, special attention should be paid to the most severe defects in order to be able to …

3D models derived from point clouds are useful in various shapes to optimize the trade-off
between precision and geometric complexity. They are defined at different granularity levels …

Recent integration of LiDAR into smartphones opens up a whole new world of possibilities
for 3D indoor/outdoor map**. Although these new systems offer an unprecedent …

Abstract The application of Deep Learning techniques to point clouds for urban object
classification is limited by the large number of samples needed. Acquiring and tagging point …

Discrete spatial datasets known as point clouds often lay the groundwork for decision-
making applications. Eg, we can use such data as a reference for autonomous cars and …

The enrichment of the point clouds with colour images improves the visualisation of the data
as well as the segmentation and recognition processes. Coloured point clouds are …

Providing citizens with the ability to move around in an accessible way is a requirement for
all cities today. However, modeling city infrastructures so that accessible routes can be …

Abstract Santiago Urban Dataset SUD is a real dataset that combines Mobile Laser
Scanning (MLS) and Handheld Mobile Laser Scanning (HMLS) point clouds. The data is …