Name
Abstract | ||
|---|---|---|
For map building purposes it is necessary to distinguish between moving and not moving objects, because moving objects might falsify map matching procedures. This paper presents a new approach of a grid based map building algorithm which represents an extension of occupancy grids. As well as it its archetype, the algorithm can easily be used for 2d or 3d time-dependent map building procedures. The original occupancy grids were extended so that cells which are marked as occupied get further differentiated regarding the motion characteristic of their particular obstacle. An occupied cell can therefore be differentiated in a cell occupied by a dynamic, quasi static or static obstacle. This differentiation might also come in handy regarding object detection or similar algorithms. The presented algorithm was developed and tested using a SICK LMS511 high resolution laser measurement system. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/NDS.2015.7332642 | 2015 IEEE 9th International Workshop on Multidimensional (nD) Systems (nDS) |
Keywords | Field | DocType |
occupancy grids,differentiated occupancy states,moving objects,map matching procedures,grid based map building algorithm,2D time-dependent map building procedures,3D time-dependent map building procedures,object detection,SICK LMS511 high resolution laser measurement system | Object detection,Computer vision,Obstacle,System of measurement,Fuzzy logic,Fuzzy set,Occupancy,Artificial intelligence,Geography,Grid,Map matching | Conference |
Citations | PageRank | References |
1 | 0.36 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| anna heinemann | 1 | 2 | 1.01 |
| Jörg Velten | 2 | 44 | 12.37 |
| Anton Kummert | 3 | 234 | 55.14 |