CoLRIO is a system for collaborative state estimation using LiDAR-ranging-inertial data in robotic swarms operating in GPS-denied environments. It centralizes computationally intensive tasks to a server, reducing the computational burden…
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 readingThis article explores the use of equivariant filtering in inertial navigation systems to improve state estimation in uncrewed aerial vehicles (UAVs). Traditional estimation methods, such as the multiplicative Kalman filter…
Continue readingThis research paper presents a novel system for improving GPS-aided Visual-Inertial Odometry (GPS-VIO) fusion algorithms. The system benefits from the online adaptive calibration of the rotational extrinsic parameter between the…
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