首页|Reports on Robotics from Chinese Academy of Sciences Provide New Insights (Water-mbsl: Underwater Movable Binocular Structured Light-based High-precision Dense Reconstruction Framework)
Reports on Robotics from Chinese Academy of Sciences Provide New Insights (Water-mbsl: Underwater Movable Binocular Structured Light-based High-precision Dense Reconstruction Framework)
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NETL
NSTL
IEEE
Current study results on Robotics have been published. According to news reporting originating in Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Structured light systems are widely used in underwater dense reconstruction due to their excellent accuracy. However, the current related methods mainly focus on fixed positions.” Financial support for this research came from Beijing Natural Science Foundation. The news reporters obtained a quote from the research from the Chinese Academy of Sciences, “The reconstruction performance in motion is insufficient. Therefore, we propose an underwater movable binocular structured light (MBSL) based high-precision dense reconstruction framework, named WaterMBSL, to realize the robot reconstruction while moving. Specifically, an onboard binocular structured light system based on mirror-galvanometer is developed first. Then, a simplified underwater point cloud acquisition algorithm is presented to quickly obtain 3-D information of the scene. Besides, a new underwater motion compensation algorithm combining inertial measurement unit and uniform velocity model is proposed. Moreover, the generalized-ICP point cloud registration algorithm is introduced to achieve accurate motion estimation. Finally, an underwater movable reconstruction platform is developed by integrating the selfdesigned structured light system with the underwater robot BlueROV for validating the performance of our proposed Water-MBSL.”
BeijingPeople’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningRobotRoboticsChinese Academy of Sciences
NETL
NSTL
IEEE
