Search Results for author: Mark Reynolds

Found 3 papers, 0 papers with code

Scene Gated Social Graph: Pedestrian Trajectory Prediction Based on Dynamic Social Graphs and Scene Constraints

no code implementations12 Oct 2020 Hao Xue, Du Q. Huynh, Mark Reynolds

We compare our SGSG against twenty state-of-the-art pedestrian trajectory prediction methods and the results show that the proposed method achieves superior performance on two widely used trajectory prediction benchmarks.

Pedestrian Trajectory Prediction Trajectory Prediction

Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories

no code implementations21 Apr 2020 Hao Xue, Du. Q. Huynh, Mark Reynolds

Pedestrian trajectory prediction is a challenging task as there are three properties of human movement behaviors which need to be addressed, namely, the social influence from other pedestrians, the scene constraints, and the multimodal (multiroute) nature of predictions.

Pedestrian Trajectory Prediction Trajectory Prediction

A game-theoretic approach to timeline-based planning with uncertainty

no code implementations12 Jul 2018 Nicola Gigante, Angelo Montanari, Marta Cialdea Mayer, Andrea Orlandini, Mark Reynolds

We define a general concept of timeline-based game and we show that the notion of winning strategy for these games is strictly more general than that of control strategy for dynamically controllable flexible plans.

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