Motion Forecasting
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Benchmarks
Argoverse CVPR 2020
Most implemented
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks
Social NCE: Contrastive Learning of Socially-aware Motion Representations
TNT: Target-driveN Trajectory Prediction
trajdata: A Unified Interface to Multiple Human Trajectory Datasets
Papers
Multi-Person Human Motion Forecasting in Complex Scenes
Accurately forecasting the movement of people in complex scenes requires reasoning over the past and present state of the entire environment. In this context, effectively incorporating object information and social inter…
Motion ForecastingDESCENT: Directed Edge Scene Encoding for Airport Surface Movement Prediction
Advanced automation is a key technology for enhancing the safety of ground operations amidst the increasing density of commercial air traffic. While motion forecasting is a well-studied task in autonomous driving, its ap…
Autonomous DrivingMotion ForecastingSPARC: Single-Pass Scaling for Motion Forecasting with Conformal Bayesian Last Layers
Human motion forecasters are increasingly accurate and fast, but reliable deployment requires uncertainty estimates that are structured, calibrated, and efficient. Bayesian and ensemble-based uncertainty estimates often …
Motion ForecastingTowards Surgical World-Action Modeling: A Preliminary Joint Visual-Trajectory Forecasting for Surgical Motion Planning
Reliable surgical planning requires models to anticipate not only how instruments will move, but also how the operative visual state will evolve together with such motion. Existing approaches typically treat future scene…
Trajectory ForecastingTrajectory PredictionMotion ForecastingScene GenerationMotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction
Humans can infer how objects are likely to move from passive observation: a cup may be lifted, a drawer may slide, and a lid may rotate shut. Such predictions expose the physical consequences of interaction needed to act…
Motion ForecastingVideo PredictionPRISA: Proactive Infrastructure LiDAR Framework for Intersection Safety Assessment
Urban intersections are among the most hazardous locations in road networks, posing significant risks to vehicles and vulnerable road users (VRUs) such as pedestrians and cyclists. The complexity of multi-agent interacti…
Trajectory PredictionMotion Forecasting