Introduces image-domain tilt as acceleration pseudo-observations in asynchronous distributed fusion across mobile and fixed cameras, reporting 60.75% reduction in cumulative prediction error in simulation and 18.10% in real experiments.
Exploration of adaptive filters for target tracking in the presence of model uncertainty,
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Image-Domain Tilt Constrained Distributed Fusion for Maneuvering UAV Tracking with Multi-Camera Electro-Optical Observations
Introduces image-domain tilt as acceleration pseudo-observations in asynchronous distributed fusion across mobile and fixed cameras, reporting 60.75% reduction in cumulative prediction error in simulation and 18.10% in real experiments.