Name
Title | ||
|---|---|---|
A navigation strategy for an autonomous patrol vehicle based on multi-fusion planning algorithms and multi-paradigm representation schemes. |
Abstract | ||
|---|---|---|
This paper considers the robot navigation task as an algorithmic and representational one in a way that the performance of the navigation task cannot be measured without combining those two elements. As a result of this view, a unique new navigation strategy based on combined multi-fusion planning algorithms and multi-paradigm representation schemes is presented. An overall architecture for a new navigation strategy is also proposed. Discrete and continuous planning algorithms are combined in a hierarchal fashion. GIS models and ontology are also combined to form rich media for representing dynamic data and knowledge. Experimental results with an evaluation of the schemes are presented. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.robot.2017.07.012 | Robotics and Autonomous Systems |
Keywords | Field | DocType |
Autonomous navigation,Dynamic GIS modelling,Motion planning | Ontology,Computer vision,Architecture,Planning algorithms,Simulation,Computer science,Dynamic data,Artificial intelligence,Mobile robot navigation,Robot | Journal |
Volume | Issue | ISSN |
96 | C | 0921-8890 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Osama Zaki | 1 | 0 | 0.34 |
| M.W. Dunnigan | 2 | 23 | 8.70 |