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 141–150 of 187 papers

TitleStatusHype
DeTra: A Unified Model for Object Detection and Trajectory Forecasting—0
Who Walks With You Matters: Perceiving Social Interactions with Groups for Pedestrian Trajectory Prediction—0
Data-Driven Vehicle Trajectory Forecasting—0
TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis—0
SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction—0
SMEMO: Social Memory for Trajectory Forecasting—0
A Diffusion-Model of Joint Interactive Navigation—0
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks—0
Social-DualCVAE: Multimodal Trajectory Forecasting Based on Social Interactions Pattern Aware and Dual Conditional Variational Auto-Encoder—0
CVAE-H: Conditionalizing Variational Autoencoders via Hypernetworks and Trajectory Forecasting for Autonomous Driving—0
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