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RISDeveloping Computationally Efficient Nonlinear Cubature Kalman Filtering for Visual Inertial Odometry
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a computationally efficient sensor-fusion algorithm for visual inertial odometry (VIO). The paper utilizes trifocal tensor geometry (TTG) for visual measurement model and a nonlinear deterministic-sam ...
Developing Computationally Efficient Nonlinear Cubature Kalman Filtering for Visual Inertial Odometry
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a computationally efficient sensor-fusion algorithm for visual inertial odometry (VIO). The paper utilizes trifocal tensor geometry (TTG) for visual measurement model and a nonlinear deterministic-sam ...