Trajectory Set

Trajectory sets represent collections of possible future paths for moving objects, primarily studied in the context of autonomous driving and robotics. Current research focuses on generating diverse and realistic trajectory sets tailored to specific scene contexts, employing methods like neural architecture search, generative models (e.g., normalizing flows, variational autoencoders), and ensemble policies to improve prediction accuracy and efficiency. These advancements are crucial for enhancing the safety and reliability of autonomous systems by enabling more accurate prediction of pedestrian and vehicle behavior, as well as improved robot navigation and human-robot interaction.