The paper discusses the development of A-KIT, an adaptive Kalman-informed transformer, designed to improve the accuracy of sensor fusion in navigation applications. Traditional methods, such as the extended Kalman filter…
Continue readingThis academic article delves into state estimation in multi-sensor fusion navigation. It discusses the importance of navigation for intelligent robots and the role of multi-sensor fusion in providing precise position…
Continue readingThe paper discusses LIO-EKF, a system for LiDAR-inertial odometry based on point-to-point registration and extended Kalman filters. This system reduces drift in autonomous robot navigation by combining LiDAR scans and…
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