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A State-Space Approach to Dynamic Nonnegative Matrix Factorization.

, , , and . IEEE Trans. Signal Processing, 63 (4): 949-959 (2015)

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Observability analysis of a vision-aided inertial navigation system using planar features on the ground., , , and . IROS, page 4187-4194. IEEE, (2013)Mirror Based IMU-camera and Internal Camera Calibration., , and . RVSP, page 199-203. IEEE Computer Society, (2011)Image moments for higher-level feature based navigation., , , and . IROS, page 602-609. IEEE, (2013)Planar-Based Visual Inertial Navigation: Observability Analysis and Motion Estimation., , , and . J. Intell. Robotic Syst., 82 (2): 277-299 (2016)A State-Space Approach to Dynamic Nonnegative Matrix Factorization., , , and . CoRR, (2017)Road Friction Estimation for Connected Vehicles using Supervised Machine Learning., , and . CoRR, (2017)Automatically learning formal models: an industrial case from autonomous driving development., , , and . MoDELS (Companion), page 33:1-33:10. ACM, (2020)Calibration of an IMU-Camera Cluster Using Planar Mirror Reflection and Its Observability Analysis., , and . IEEE Trans. Instrumentation and Measurement, 64 (1): 75-88 (2015)Imitation Learning for Vision-based Lane Keeping Assistance., , , , and . CoRR, (2017)Vision-Aided Inertial Navigation Using Planar Terrain Features., and . RVSP, page 287-291. IEEE Computer Society, (2011)