Methodology for a reverse engineering process chain with focus on customized segmentation and iterative closest point algorithms
Sign Up to like & getrecommendations! Published in 2022 at "MethodsX"
DOI: 10.1016/j.mex.2022.101640
Abstract: One-off construction is characterized by a multiplicity of manual manufacturing processes whereby it is based on consistent use of digital models. Since the actual state of construction does not match the digital models without manually… read more here.
Keywords: closest point; methodology; reverse engineering; segmentation ... See more keywords
A novel radiological assessment of screw loosening focusing on spatial position change of screws using an iterative closest point algorithm with stereolithography data: technical note.
Sign Up to like & getrecommendations! Published in 2019 at "World neurosurgery"
DOI: 10.1016/j.wneu.2018.12.209
Abstract: OBJECTIVE In thoracolumbar spinal instrumentation surgery, pedicle screw fixation is widely used, while screw loosening occurs only occasionally over time. It is common to evaluate screw loosening by the radiographical lucent zone around screws, which… read more here.
Keywords: iterative closest; screw loosening; position; technical note ... See more keywords
A Specific Iterative Closest Point Algorithm for Estimating Radar System Errors
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2019.2963432
Abstract: A common radar system calibration approach is to use civil aviation automatic dependent surveillance-broadcast (ADS-B) data to register errors. Considering the temporal and spatial uncertainties in radar system observation data, a specific iterative closest point… read more here.
Keywords: iterative closest; observation data; system errors; radar ... See more keywords
Comparative Analysis of 3D LiDAR Scan-Matching Methods for State Estimation of Autonomous Surface Vessel
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Marine Science and Engineering"
DOI: 10.3390/jmse11040840
Abstract: Accurate positioning and state estimation of surface vessels are prerequisites to achieving autonomous navigation. Recently, the rapid development of 3D LiDARs has promoted the autonomy of both land and aerial vehicles, which has aroused the… read more here.
Keywords: state; iterative closest; state estimation; lidar scan ... See more keywords