Name
Abstract | ||
|---|---|---|
Planetary rovers exploring the surface of Mars rely on vision-based localization and navigation algorithms to estimate their state and plan their motion during autonomous traverses. The accurate estimation of rover's motion enables safe navigation across environments with potentially hazardous terrain that would otherwise require careful human intervention. The accuracy of these vision-based local... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LRA.2017.2777526 | IEEE Robotics and Automation Letters |
Keywords | Field | DocType |
Navigation,Cameras,Planning,Mars,Visualization,Sensors,Space vehicles | Computer vision,Mars Exploration Program,Simulation,Terrain,Control engineering,Planetary exploration,Artificial intelligence,Engineering,Perception,Trajectory,Online search,Traverse | Journal |
Volume | Issue | ISSN |
3 | 2 | 2377-3766 |
Citations | PageRank | References |
2 | 0.37 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kyohei Otsu | 1 | 4 | 3.80 |
| Ali-akbar Agha-mohammadi | 2 | 140 | 22.23 |
| Paton, Michael | 3 | 20 | 4.53 |