Path Prediction

Path prediction focuses on accurately forecasting the future trajectories of moving entities, such as vehicles or pedestrians, by leveraging various data sources and contextual information. Current research emphasizes developing robust and efficient models, including those based on graph algorithms, transformer networks, and Markov chains, to handle the inherent complexities of multimodal trajectories and diverse environments. These advancements have significant implications for autonomous systems, traffic management, and other applications requiring accurate prediction of movement patterns, improving safety and efficiency in real-world scenarios.