Depth Aleatoric Uncertainty Estimation

Depth Aleatoric Uncertainty Estimation is a computer vision technique aimed at quantifying the irreducible error in depth prediction. By estimating the inherent uncertainty in the data, this method can enhance the robustness of models in complex scenes and improve the reliability of decision-making. Accurate uncertainty estimation is of significant application value for risk management and system optimization in fields such as autonomous driving and medical image analysis.