Name
Abstract | ||
|---|---|---|
An automatic parking system relies on precise estimation of parking space geometry. This paper proposes the use of a hierarchical three dimensional occupancy grid for the detection of parking spaces. The occupancy grid covers the environment representation of the static world. A hierarchical design allows dynamic selection of the level of detail. Applying a three-dimensional grid provides the additional benefit of supporting a variety of other functions including height estimation using a single environment representation type. The presented approach derives the distance to obstacles and walls and thus is able to represent the free space that forms parking spaces. In a second step, the dimensions of the parking space are calculated. For evaluation, real parking spaces are detected and estimated using short range radar sensors. The calculated dimensions are compared to the ground truth. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IVS.2011.5940476 | Intelligent Vehicles Symposium |
Keywords | Field | DocType |
automated highways,path planning,radar detection,automatic parking system,hierarchical dynamic occupancy grids,parking space detection,parking space geometry,radar sensors | Radar,Motion planning,Data structure,Space (mathematics),Simulation,Level of detail,Real-time computing,Ground truth,Engineering,Grid,Occupancy grid mapping | Conference |
ISSN | ISBN | Citations |
1931-0587 | 978-1-4577-0890-9 | 9 |
PageRank | References | Authors |
0.73 | 6 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthias Roland Schmid | 1 | 24 | 2.64 |
| Savas Ates | 2 | 9 | 0.73 |
| Jürgen Dickmann | 3 | 83 | 14.07 |
| Felix Von Hundelshausen | 4 | 169 | 15.13 |
| Hans-Joachim Wünsche | 5 | 80 | 8.13 |
| von Hundelshausen, F. | 6 | 16 | 1.49 |