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Aleksander Gamayunov

2 accepted papers

2022

Conditioned Human Trajectory Prediction using Iterative Attention Blocks

ICRA 2022poster

Human motion prediction is key to understand social environments, with direct applications in robotics, surveil-lance, etc. We present a simple yet effective pedestrian trajectory prediction model aimed at pedestrians' positions prediction in urban-like environments conditioned by the environment: m…

Cited by 6SourceScholar
2021

CovarianceNet: Conditional Generative Model for Correct Covariance Prediction in Human Motion Prediction

IROS 2021poster

The correct characterization of uncertainty when predicting human motion is equally important as the accuracy of this prediction. We present a new method to correctly predict the uncertainty associated with the predicted distribution of future trajectories. Our approach, CovariaceNet, is based on a…

Cited by 5SourceScholar