Flow Estimation

Flow estimation, the process of determining the movement of objects or fluids within a system, is crucial across diverse scientific and engineering domains. Current research emphasizes developing robust and efficient algorithms, often leveraging deep learning architectures like convolutional neural networks (CNNs) and transformers, to address challenges such as handling large motions, occlusions, and limited data. These advancements are improving accuracy and speed in applications ranging from video processing and autonomous driving to fluid dynamics simulations and medical image analysis, enabling more precise measurements and improved system modeling. Furthermore, research is exploring the integration of physics-based models with data-driven approaches to enhance accuracy and generalizability.