Thesis topics
Mobile 3D environment perception with a geospatial database background
title
Mobile 3D environment perception with a geospatial database background
institution
doctoral_school
supervisor
discipline
description
Up to date 3D sensors revolutionized the acquisition of environmental information. The onboard Lidar laser scanners, calibrated camera systems and navigation sensors record high frame-rate measurement sequences. However due to their limited spatial resolution, environment analysis purely based on onboard sensor measurements exhibits significant limitations.
The new generation geo-information systems (GIS) store extremely detailed 3D maps about the cities, composed of dense 3D point clouds, registered camera images and semantic metadata.
The main goal of the research work is to facilitate the joint exploitation of the measurements from the cars'' instant sensing platforms and the offline spatial database content. We propose new algorithms, which allow self driving cars to obtain in real time relevant GIS information for decision support, and provide opportunities for extending and updating the GIS databases based on the sensor measurements from everyday traffic.
The new generation geo-information systems (GIS) store extremely detailed 3D maps about the cities, composed of dense 3D point clouds, registered camera images and semantic metadata.
The main goal of the research work is to facilitate the joint exploitation of the measurements from the cars'' instant sensing platforms and the offline spatial database content. We propose new algorithms, which allow self driving cars to obtain in real time relevant GIS information for decision support, and provide opportunities for extending and updating the GIS databases based on the sensor measurements from everyday traffic.
student count limit
1
location
Pázmány Péter Catholic University Roska Tamás Doctoral School of Technology and Sciences
deadline
2017-12-31