A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Omnidirectional dense large-scale mapping and navigation based on meaningful triangulation
2011
2011 IEEE International Conference on Robotics and Automation
In this work, we propose a robust and efficient method to build dense 3D maps, using only the images grabbed by an omnidirectional camera. The map contains exhaustive information about both the structure and the appearance of the environment and it is well suited also for large scale environments. We start from the assumption that the surrounding environment (the scene) forms a piecewise smooth surface represented by a triangle mesh. Our system is able to infer, without any odometry
doi:10.1109/icra.2011.5980206
dblp:conf/icra/PrettoMP11
fatcat:2hecdy7zlvdltaas74cbgyutjm