DocumentCode
716435
Title
Adaptive rectangular cuboids for 3D mapping
Author
Khan, Sheraz ; Wollherr, Dirk ; Buss, Martin
Author_Institution
Autom. Control Eng., Tech. Univ. Munchen, München, Germany
fYear
2015
fDate
26-30 May 2015
Firstpage
2132
Lastpage
2139
Abstract
This paper presents an extension of the standard occupancy grid for 3D environment mapping. The presented approach adds a fusion process after the occupancy update which modifies the resolution of the grid cells in an incremental manner. Consequently, the proposed approach requires fewer grid cells for 3D representation in comparison to a standard occupancy grid. The resolution adaptation process is based on the occupancy probabilities of the grid cells and leads to the relaxation of the cubic grid cell assumption common to most 3D occupancy grids. The aim of this paper is to show the advantage of the proposed incremental fusion process which leads to the approximation of the 3D environment using rectangular cuboids. Evaluation on a large scale dataset and comparison to the state of the art shows that the proposed approach has faster access time for all occupied grid cells and requires a smaller number of cells for 3D environment representation.
Keywords
collision avoidance; computational geometry; graph theory; mobile robots; navigation; probability; sensor fusion; 3D environment approximation; 3D environment mapping; 3D environment representation; 3D mapping; 3D occupancy grid; 3D representation; adaptive rectangular cuboids; autonomous agent navigation; cubic grid cell assumption relaxation; grid cell resolution; incremental fusion process; obstacle avoidance; occupancy probability; occupancy update; resolution adaptation process; Data structures; Fuses; Laser beams; Robot sensing systems; Standards; Three-dimensional displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation (ICRA), 2015 IEEE International Conference on
Conference_Location
Seattle, WA
Type
conf
DOI
10.1109/ICRA.2015.7139480
Filename
7139480
Link To Document