首页|Investigators from University of Klagenfurt Release New Data on Robotics and Automation (Msceqf: a Multi State Constraint Equivariant Filter for Vision-aided Inertial Navigation)
Investigators from University of Klagenfurt Release New Data on Robotics and Automation (Msceqf: a Multi State Constraint Equivariant Filter for Vision-aided Inertial Navigation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics - Robotics and Automation. Accordingto news reporting originating in Klagenfurt, Austria, by NewsRx journalists, research stated, “This letterre-visits the problem of visual-inertial navigation system (VINS) and presents a novel filter design we dubthe multi state constraint equivariant filter (MSCEqF, in analogy to the well known MSCKF). We define asymmetry group and corresponding group action that allow specifically the design of an equivariant filterfor the problem of visualinertial odometry (VIO) including IMU bias, and camera intrinsic and extrinsiccalibration states.”
KlagenfurtAustriaEuropeRobotics and AutomationRoboticsUniversity of Klagenfurt
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