首页|Study Findings from Nanyang Technological University Provide New Insights into R obotics and Automation (Eigen Is All You Need: Efficient Lidar-inertial Continuo us-time Odometry With Internal Association)
Study Findings from Nanyang Technological University Provide New Insights into R obotics and Automation (Eigen Is All You Need: Efficient Lidar-inertial Continuo us-time Odometry With Internal Association)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s - Robotics and Automation. According to news reporting out of Singapore, Singa pore, by NewsRx editors, research stated, “In this letter, we propose a continuo us-time lidar-inertial odometry (CT-LIO) system named SLICT2, which promotes two main insights. One, contrary to conventional wisdom, CT-LIO algorithm can be op timized by linear solvers in only a few iterations, which is more efficient than commonly used nonlinear solvers.” Financial support for this research came from National Research Foundation, Sing apore. Our news journalists obtained a quote from the research from Nanyang Technologic al University, “Two, CT-LIO benefits more from the correct association than the number of iterations. Based on these ideas, we implement our method with a custo mized solver where the feature association process is performed immediately afte r each incremental step, and the solution can converge within a few iterations. Our implementation can achieve real-time performance with a high density of cont rol points while yielding competitive performance in highly dynamical motion sce narios.”
SingaporeSingaporeAsiaRobotics and AutomationRoboticsNanyang Technological University
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