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
Latest papers with no code
Egocentric Scene-aware Human Trajectory Prediction
Wearable collaborative robots stand to assist human wearers who need fall prevention assistance or wear exoskeletons.
CMP: Cooperative Motion Prediction with Multi-Agent Communication
Building on top of cooperative perception, this paper explores the feasibility and effectiveness of cooperative motion prediction.
ProIn: Learning to Predict Trajectory Based on Progressive Interactions for Autonomous Driving
In this work, a progressive interaction network is proposed to enable the agent's feature to progressively focus on relevant maps, in order to better learn agents' feature representation capturing the relevant map constraints.
Gaze-guided Hand-Object Interaction Synthesis: Benchmark and Method
Here, the object motion diffusion model generates sequences of object motions based on gaze conditions, while the hand motion diffusion model produces hand motions based on the generated object motion.
Human Motion Prediction under Unexpected Perturbation
We investigate a new task in human motion prediction, which is predicting motions under unexpected physical perturbation potentially involving multiple people.
Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration
We believe our work could provide a novel perspective to consider the uncertainty quality for the general motion prediction task and encourage the studies in this field.
AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving
As an essential task in autonomous driving (AD), motion prediction aims to predict the future states of surround objects for navigation.
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving
However, no existing method combines motion prediction and trajectory planning in a joint step while guaranteeing equivariance under roto-translations of the input space.
Large Language Models Powered Context-aware Motion Prediction
Traditional methods of motion forecasting primarily encode vector information of maps and historical trajectory data of traffic participants, lacking a comprehensive understanding of overall traffic semantics, which in turn affects the performance of prediction tasks.
Exploring Learning-based Motion Models in Multi-Object Tracking
In the field of multi-object tracking (MOT), traditional methods often rely on the Kalman Filter for motion prediction, leveraging its strengths in linear motion scenarios.
