Paper Info
Title
GLANS: GIS Based Large-Scale Autonomous Navigation System.
Abstract
The simultaneous localization and mapping (SLAM) systems are widely used for self-localization of a robot, which is the basis of autonomous navigation. However, the state-of-art SLAM systems cannot suffice when navigating in large-scale environments due to memory limit and localization errors. In this paper, we propose a Geographic Information System (GIS) based autonomous navigation system (GLANS). In GLANS, a topological path is suggested by GIS database and a robot can move accordingly while being able to detect the obstacles and adjust the path. Moreover, the mapping results can be shared among multi-robots to re-localize a robot in the same area without GPS assistance. It has been proved functioning well in the simulation environment of a campus scenario.
Year
DOI
Venue
2018
10.1007/978-3-319-93818-9_14
ADVANCES IN SWARM INTELLIGENCE, ICSI 2018, PT II
Keywords
Field
DocType
SLAM,GIS database,Navigation at large-scale
Geographic information system,Glans,Autonomous Navigation System,Computer science,Real-time computing,Global Positioning System,Simultaneous localization and mapping,Robot
Conference
Volume
ISSN
Citations 
10942
0302-9743
0
PageRank 
References 
Authors
0.34
7
3
Name
Order
Citations
PageRank
Manhui Sun100.34
Shaowu Yang2878.92
Hengzhu Liu38623.28