Abstract
As one of the dominant features in the road environment, the curbs provide useful information for navigation. However, when the uncertainty model does not defined correctly, the road curb does not contribute to the estimated robot pose. In order to solve this problem, we propose the integrated localization scheme using curb features on the basis of uncertainty model of road curb. The uncertainty model for the extracted curb is quantitatively determined from experiments. Extended Kaiman Filter is exploited for the fusion of curbs and DGPS measurements.
| Original language | English |
|---|---|
| Title of host publication | 2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 266-268 |
| Number of pages | 3 |
| ISBN (Print) | 9781479953325 |
| DOIs | |
| Publication status | Published - 1997 Mar 9 |
| Event | 2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014 - Kuala Lumpur, Malaysia Duration: 2014 Nov 12 → 2014 Nov 15 |
Other
| Other | 2014 11th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2014 |
|---|---|
| Country/Territory | Malaysia |
| City | Kuala Lumpur |
| Period | 14/11/12 → 14/11/15 |
Keywords
- Outdoor Mobile Robot
- Road Curb
- Uncertainty Model
ASJC Scopus subject areas
- Artificial Intelligence
- Human-Computer Interaction