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Publications » Automated point cloud correspondence detection for underwater mapping using AUVs
| Title | Automated point cloud correspondence detection for underwater mapping using AUVs |
| Publication Type | Conference Paper |
| Year of Publication | 2015 |
| Authors | Hammond, M., A. Clark, A. Mahajan, S. Sharma, and S. Rock |
| Conference Name | OCEANS 2015 |
| Date Published | 10/2015 |
| Publisher | MTS |
| Conference Location | Washington DC |
| ISBN Number | 978-0-9339-5743-5 |
| Keywords | accumulated navigation error estimation, automated point cloud correspondence detection, autonomous underwater vehicles, AUV, California, Computer Vision, computer vision literature, false positive matches, Feature extraction, ICP registration algorithm, image matching, image registration, inertial navigation, Iterative closest point algorithm, iterative closest point registration algorithm, iterative methods, less conservative matching criteria, marine radar, Monterey Bay, multibeam sonar data, multiple overlapping, point cloud alignment technique, pseudoimage keypoint extraction, pseudoimage keypoint labelling, pseudoimage keypoint matching, RANSAC, self-consistent map, sonar imaging, Sonar measurements, Sonar navigation, Three-dimensional displays, underwater canyon, underwater mapping, vehicle trajectory information, Vehicles, zero false positives |
| Refereed Designation | Unknown |
Last modified Thu, 1 Sep, 2016 at 13:30
