Name
Abstract | ||
|---|---|---|
Visual localization enables autonomous vehicles to navigate in their surroundings and augmented reality applications to link virtual to real worlds. Practical visual localization approaches need to be robust to a wide variety of viewing conditions, including day-night changes, as well as weather and seasonal variations, while providing highly accurate six degree-of-freedom (6DOF) camera pose estim... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TPAMI.2020.3032010 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | DocType | Volume |
Benchmark testing,Visualization,Cameras,Three-dimensional displays,Robots,Solid modeling,Trajectory | Journal | 44 |
Issue | ISSN | Citations |
4 | 0162-8828 | 0 |
PageRank | References | Authors |
0.34 | 0 | 12 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carl Toft | 1 | 8 | 2.09 |
| Will Maddern | 2 | 0 | 0.68 |
| Akihiko Torii | 3 | 436 | 26.93 |
| Lars Hammarstrand | 4 | 51 | 6.33 |
| Erik Stenborg | 5 | 12 | 1.65 |
| Daniel Safari | 6 | 0 | 0.34 |
| Masatoshi Okutomi | 7 | 869 | 103.67 |
| Marc Pollefeys | 8 | 7671 | 475.90 |
| Josef Sivic | 9 | 9653 | 513.44 |
| Tomas Pajdla | 10 | 3510 | 242.90 |
| Fredrik Kahl | 11 | 1415 | 92.61 |
| Torsten Sattler | 12 | 704 | 34.68 |