A novel uncertainty-aware 3D tracking solver based on physics-informed neural networks
Accurate 3D fish localization supports understanding of movement, behavior, and habitat use. Traditional solvers such as Approximate Maximum Likelihood (AML) are vulnerable to multipath, time of arrival (TOA) measurement errors, and synchronization errors, while Yet Another Positioning Solver (YAPS) can degrade with sp...