Name
Title | ||
|---|---|---|
Obstacle avoidance with Vector Field Histogram algorithm for search and rescue robots |
Abstract | ||
|---|---|---|
The capability of avoid obstacles is the one of the key issues in autonomous search-and-rescue robots research area. In this study, the avoiding obstacles capability has been provided to the virtula robots in USARSim environment. The aim is finding the minimum movement when robot faces an obstacle in path. For obstacle avoidance we used an real time path planning method which is called Vector Field Histogram (VFH). After experiments we observed that VFH method is successful method for obstacle avoidance. Moreover, the usage of VFH method is highly incresing the amount of the visited places per unit time. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/SIU.2014.6830342 | Signal Processing and Communications Applications Conference |
Keywords | Field | DocType |
collision avoidance,control engineering computing,service robots,statistical analysis,USARSim environment,VFH method,obstacle avoidance,search-and-rescue robots,vector field histogram algorithm,virtual robots,USARSim,VFH algorithm,autonomous robots,obstacle avoidance | Obstacle avoidance,Histogram,Vector Field Histogram,Computer vision,Signal processing,Obstacle,Search and rescue,Real-time path planning,Computer science,Artificial intelligence,Robot | Conference |
ISSN | Citations | PageRank |
2165-0608 | 0 | 0.34 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sahin, G. | 1 | 0 | 0.34 |
| Balcilar, M. | 2 | 0 | 0.34 |
| Uslu, E. | 3 | 0 | 1.01 |
| Yavuz, S. | 4 | 0 | 0.68 |