… datasets and achieve comparable or better prediction accuracy compared to several state-of…
that confidence of pedestrian prediction can be used to adjust the risk of a navigation policy …

… pedestrian autonomous navigation for crowd simulation. It describes a method for solving
interactions between pedestrians … Our first contribution is to introduce long-time predictions in …

… is difficult as the environment must be predicted into the future. This problem has been …
behaviour of pedestrians at the level of individuals. Instead, we represent a pedestrian crowd by …

… ’ future state as human motion prediction has a large variance… with a human multimodal
trajectory prediction model to help … of art methods for crowd navigation and provide an ablation …

… Anticipatory navigation in crowds by probabilistic prediction of pedestrian future movements.
In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), …

… Then predictions are used to formulate a time-tocollision control problem. We evaluate …
simulated crowds and real-world pedestrian data. We observe smooth collision-free navigation …

… Finally, we extend prediction to include pedestrian motion and develop a risk sensitive control
algorithm for navigating … 5, we extend prediction to include pedestrians for adaptive crowd …

… Although we present results for predicting trajectories of every agent in the crowd, this … We
show how our model can be used to predict future trajectories of pedestrians and compute the …

… Trajectory changes with time as pedestrians navigate themselves to the next position based
on their current state. The walking speed of an average person is 0.8 m/s–1.5 m/s. Thus, the …

… We consider a more realistic pedestrian navigation … prediction-based methods are prone
to freezing phenomena [22], trajectory prediction is still a promising module in crowd navigation…