Pedestrian Trajectory Prediction
37 papers with code • 1 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Pedestrian Trajectory Prediction
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JAAD
PIE
Euro-PVI
Latest papers
SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents
Pedestrian trajectory prediction is the key technology in many applications for providing insights into human behavior and anticipating human future motions.
STIGCN: spatial–temporal interaction‑aware graph convolution network for pedestrian trajectory prediction
Chenwangxing/STIGCN_master
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The Journal of Supercomputing 2023
STIGCN considers the correlation between social interaction and pedestrian movement factors to achieve more accurate interaction modeling.
Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions
dngu7/multiple-hypothesis-dropout
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In many real-world applications, from robotics to pedestrian trajectory prediction, there is a need to predict multiple real-valued outputs to represent several potential scenarios.
SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction
Analyzing and forecasting trajectories of agents like pedestrians and cars in complex scenes has become more and more significant in many intelligent systems and applications.
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models
zl-helios/trajpac
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ICCV 2023
Firstly, the previous definitions of robustness in trajectory prediction are ambiguous.
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
mediabrain-sjtu/eqmotion
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CVPR 2023
In motion prediction tasks, maintaining motion equivariance under Euclidean geometric transformations and invariance of agent interaction is a critical and fundamental principle.
Trajectory Unified Transformer for Pedestrian Trajectory Prediction
Pedestrian trajectory prediction is an essentially connecting link to understanding human behavior.
G-PECNet: Towards a Generalizable Pedestrian Trajectory Prediction System
aryan-garg/pecnet-pedestrian-trajectory-prediction
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Navigating dynamic physical environments without obstructing or damaging human assets is of quintessential importance for social robots.
Pishgu: Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge Systems
These real-world CPS applications need a robust, lightweight path prediction that can provide a universal network architecture for multiple subjects (e. g., pedestrians and vehicles) from different perspectives.
T2FPV: Dataset and Method for Correcting First-Person View Errors in Pedestrian Trajectory Prediction
cmubig/t2fpv
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To support first-person view trajectory prediction research, we present T2FPV, a method for constructing high-fidelity first-person view (FPV) datasets given a real-world, top-down trajectory dataset; we showcase our approach on the ETH/UCY pedestrian dataset to generate the egocentric visual data of all interacting pedestrians, creating the T2FPV-ETH dataset.
