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
Expi
Argoverse 2 Motion Forecasting
SinD
GTA-IM Dataset
NTU RGB+D 2D
Lyft Level 5 Prediction
Most implemented papers
MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving
stepankonev/MotionCNN-Waymo-Open-Motion-Dataset
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To plan a safe and efficient route, an autonomous vehicle should anticipate future motions of other agents around it.
MPA: MultiPath++ Based Architecture for Motion Prediction
stepankonev/waymo-motion-prediction-chalenge-2022-multipath-plus-plus
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Autonomous driving technology is developing rapidly and nowadays first autonomous rides are being provided in city areas.
Peeking into the Future: Predicting Future Person Activities and Locations in Videos
google/next-prediction
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CVPR 2019
To facilitate the training, the network is learned with an auxiliary task of predicting future location in which the activity will happen.
What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction
cschoeller/constant_velocity_pedestrian_motion
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Our work shows how neural networks for pedestrian motion prediction can be thoroughly evaluated and our results indicate which research directions for neural motion prediction are promising in future.
3D BAT: A Semi-Automatic, Web-based 3D Annotation Toolbox for Full-Surround, Multi-Modal Data Streams
In this paper, we focus on obtaining 2D and 3D labels, as well as track IDs for objects on the road with the help of a novel 3D Bounding Box Annotation Toolbox (3D BAT).
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
abduallahmohamed/Social-STGCNN
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CVPR 2020
Better machine understanding of pedestrian behaviors enables faster progress in modeling interactions between agents such as autonomous vehicles and humans.
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps
pxiangwu/MotionNet
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CVPR 2020
The backbone of MotionNet is a novel spatio-temporal pyramid network, which extracts deep spatial and temporal features in a hierarchical fashion.
Generative Model-Enhanced Human Motion Prediction
The task of predicting human motion is complicated by the natural heterogeneity and compositionality of actions, necessitating robustness to distributional shifts as far as out-of-distribution (OoD).
Latent Variable Sequential Set Transformers For Joint Multi-Agent Motion Prediction
roggirg/AutoBots
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ICLR 2022
AutoBots can produce either the trajectory of one ego-agent or a distribution over the future trajectories for all agents in the scene.
DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets
Tsinghua-MARS-Lab/DenseTNT
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ICCV 2021
In this work, we propose an anchor-free and end-to-end trajectory prediction model, named DenseTNT, that directly outputs a set of trajectories from dense goal candidates.
