Abstract | ||
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The ability to estimate rich geometry and camera motion from monocular imagery is fundamental to future interactive robotics and augmented reality applications. Different approaches have been proposed that vary in scene geometry representation (sparse landmarks, dense maps), the consistency metric used for optimising the multi-view problem, and the use of learned priors. We present a SLAM system t... |
Year | DOI | Venue |
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2020 | 10.1109/LRA.2020.2965415 | IEEE Robotics and Automation Letters |
Keywords | DocType | Volume |
Simultaneous localization and mapping,Cameras,Real-time systems,Image reconstruction,Geometry,Probabilistic logic,Optimization | Journal | 5 |
Issue | ISSN | Citations |
2 | 2377-3766 | 4 |
PageRank | References | Authors |
0.40 | 21 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jan Czarnowski | 1 | 7 | 1.45 |
Tristan Laidlow | 2 | 8 | 2.20 |
Ronald Clark | 3 | 131 | 9.10 |
Andrew J. Davison | 4 | 6707 | 350.85 |