Name
Abstract | ||
|---|---|---|
In the scope of the study, it was aimed to discover a closed multi-storey environment with autonomous air robots and produce a three dimensional map. In order to reduce the complexity of the three-dimensional exploration algorithm, we have developed Target Elimination Method that can calculate the result by narrowing the problem space. The Target Elimination Method ensures that the exploration algorithm is faster to explore the environment as it reduces the calculation time. |
Year | Venue | Keywords |
|---|---|---|
2017 | Signal Processing and Communications Applications Conference | Aerial Robot,Autonomous,Three Dimensional AStar,Three Dimensional CCL,Three Dimensional Costmap,3D Exploration,Gazebo,ROS |
Field | DocType | ISSN |
Computer vision,Computer science,Algorithm,Automation,Artificial intelligence,Robot,Open source software,Problem space | Conference | 2165-0608 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Salih Marangoz | 1 | 0 | 1.01 |
| Ezgi Ekin Ergun | 2 | 0 | 0.34 |
| Erkan Uslu | 3 | 10 | 5.23 |
| Furkan Cakmak | 4 | 2 | 3.54 |
| Nihal Altuntas | 5 | 0 | 1.69 |
| M. Fatih Amasyalı | 6 | 13 | 3.84 |
| Sirma Yavuz | 7 | 16 | 5.70 |