| contributor author | A. Spicer Bak | |
| contributor author | Patrick Durkin | |
| contributor author | Brittany Bruder | |
| contributor author | Matthew J. Saenz | |
| contributor author | Michael F. Forte | |
| contributor author | Katherine L. Brodie | |
| date accessioned | 2023-11-28T00:18:11Z | |
| date available | 2023-11-28T00:18:11Z | |
| date issued | 7/5/2023 12:00:00 AM | |
| date issued | 2023-07-05 | |
| identifier other | JSUED2.SUENG-1381.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4294170 | |
| description abstract | The capability of a commercial off-the-shelf amphibious bottom crawling robot is explored for surveying seamless topography and bathymetry across the beachface, surfzone, and very nearshore. A real-time-kinematic (RTK) antenna on a mast was added to the robotic platform, a Bayonet-350 (previously the C2i SeaOx). Data collected from the robot were compared with those collected by the Coastal Research Amphibious Buggy (CRAB) and the Lighter Amphibious Resupply Cargo (LARC), unique amphibious vessels capable of collecting seamless topography and bathymetry in use for decades at the US Army Engineer Research and Development Center’s Field Research Facility (FRF). Data were compared on five different days in a range of wave conditions (Hs<1 m in 8-m depth) resulting in a root-mean square difference of 8.7 cm and bias of 2 cm for 24 different cross-shore profile comparisons. Additionally, a repeatability test was performed to asses measurement uncertainty. The repeatability test indicated a total vertical uncertainty (TVU) of 5.8 cm, with the highest spatial error at the shoreline. | |
| publisher | ASCE | |
| title | Amphibious Uncrewed Ground Vehicle for Coastal Surfzone Survey | |
| type | Journal Article | |
| journal volume | 149 | |
| journal issue | 4 | |
| journal title | Journal of Surveying Engineering | |
| identifier doi | 10.1061/JSUED2.SUENG-1381 | |
| journal fristpage | 04023011-1 | |
| journal lastpage | 04023011-9 | |
| page | 9 | |
| tree | Journal of Surveying Engineering:;2023:;Volume ( 149 ):;issue: 004 | |
| contenttype | Fulltext | |