Long-Term Human Trajectory Prediction using 3D Dynamic Scene Graphs for Complex Environments

A novel approach for long-term human trajectory prediction in complex environments by leveraging 3D Dynamic Scene Graphs and Large Language Models to predict sequences of human interactions with the environment, which are then grounded into a probabilistic spatio-temporal distribution over future human positions.