motion prediction
185 papers with code • 0 benchmarks • 13 datasets
Benchmarks
These leaderboards are used to track progress in motion prediction
Libraries
Use these libraries to find motion prediction models and implementationsDatasets
UCY
Waymo Open Motion Dataset
Argoverse 2 Motion Forecasting
Expi
SinD
GTA-IM Dataset
NTU RGB+D 2D
Lyft Level 5 Prediction
Most implemented papers
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
stepankonev/waymo-motion-prediction-challenge-2022-multipath-plus-plus
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Predicting the future behavior of road users is one of the most challenging and important problems in autonomous driving.
HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction
To tackle this challenge, we propose Hierarchical Vector Transformer (HiVT) for fast and accurate multi-agent motion prediction.
Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion
vita-epfl/hybrid-feature-fusion
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Considering the lack of suitable existing datasets for it, we release TRANS, a benchmark for explicitly studying the stop and go behaviors of pedestrians in urban traffic.
Shifts 2.0: Extending The Dataset of Real Distributional Shifts
This creates a need to be able to assess how robustly ML models generalize as well as the quality of their uncertainty estimates.
Diverse Human Motion Prediction via Gumbel-Softmax Sampling from an Auxiliary Space
In this paper, we propose a novel sampling strategy for sampling very diverse results from an imbalanced multimodal distribution learned by a deep generative model.
MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge -- Motion Prediction
sshaoshuai/mtr
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In this report, we present the 1st place solution for motion prediction track in 2022 Waymo Open Dataset Challenges.
Motion Transformer with Global Intention Localization and Local Movement Refinement
sshaoshuai/mtr
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Predicting multimodal future behavior of traffic participants is essential for robotic vehicles to make safe decisions.
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction
We present TrafficBots, a multi-agent policy built upon motion prediction and end-to-end driving, and based on TrafficBots we obtain a world model tailored for the planning module of autonomous vehicles.
RedMotion: Motion Prediction via Redundancy Reduction
Predicting the future motion of traffic agents is vital for self-driving vehicles to ensure their safe operation.
MotionGPT: Human Motion as a Foreign Language
openmotionlab/motiongpt
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NeurIPS 2023
Building upon this "motion vocabulary", we perform language modeling on both motion and text in a unified manner, treating human motion as a specific language.
