Multi Future Trajectory Prediction

6 papers with code • 2 benchmarks • 3 datasets

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Most implemented papers

DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents

yadrimz/DESIRE CVPR 2017

DESIRE effectively predicts future locations of objects in multiple scenes by 1) accounting for the multi-modal nature of the future prediction (i. e., given the same context, future may vary), 2) foreseeing the potential future outcomes and make a strategic prediction based on that, and 3) reasoning not only from the past motion history, but also from the scene context as well as the interactions among the agents.

It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction

HarshayuGirase/PECNet ECCV 2020

In this work, we present Predicted Endpoint Conditioned Network (PECNet) for flexible human trajectory prediction.

The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

JunweiLiang/Multiverse CVPR 2020

The first contribution is a new dataset, created in a realistic 3D simulator, which is based on real world trajectory data, and then extrapolated by human annotators to achieve different latent goals.

AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction

alessiabertugli/AC-VRNN 17 May 2020

Anticipating human motion in crowded scenarios is essential for developing intelligent transportation systems, social-aware robots and advanced video surveillance applications.

MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction

Marchetz/MANTRA-CVPR20 CVPR 2020

Autonomous vehicles are expected to drive in complex scenarios with several independent non cooperating agents.

Multi-Agent Trajectory Prediction With Heterogeneous Edge-Enhanced Graph Attention Network

Xiaoyu006/MATP-with-HEAT IEEE Transactions on Intelligent Transportation Systems 2022

Simultaneous trajectory prediction for multiple heterogeneous traffic participants is essential for safe and efficient operation of connected automated vehicles under complex driving situations.