SOTAVerified

Trajectory Forecasting

Trajectory forecasting is a sequential prediction task, where a forecasting model predicts future trajectories of all moving agents (humans, vehicles, etc.) in a scene, based on their past trajectories and/or the scene context.

(Illustrative figure from Social NCE: Contrastive Learning of Socially-aware Motion Representations)

Papers

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Showing 151–160 of 187 papers

TitleStatusHype
CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments—0
SocialMOIF: Multi-Order Intention Fusion for Pedestrian Trajectory Prediction—0
Cooperative Probabilistic Trajectory Forecasting under Occlusion—0
Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation—0
Data-Driven Traffic Simulation for an Intersection in a Metropolis—0
Uncertainty estimation of pedestrian future trajectory using Bayesian approximation—0
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data—0
Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting—0
Uncovering the human motion pattern: Pattern Memory-based Diffusion Model for Trajectory Prediction—0
Collision Avoidance Detour for Multi-Agent Trajectory Forecasting—0
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