Trajectory Forecasting
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Benchmarks
Most implemented
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Social NCE: Contrastive Learning of Socially-aware Motion Representations
It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction
trajdata: A Unified Interface to Multiple Human Trajectory Datasets
RedMotion: Motion Prediction via Redundancy Reduction
Papers
Towards 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 GenerationExPhy: A Benchmark for Explicit Physical Property Learning in Multi-Object Trajectory Forecasting
Understanding object dynamics requires not only predicting future trajectories but also examining whether a model captures the physical properties that govern motion. However, existing benchmarks rarely expose object-lev…
Trajectory ForecastingG-MARK: Grounded Multi-Agent Reasoning for Cooperative Driving via Knowledge Graphs
Autonomous driving systems must operate under partial observability, where safety-critical objects may be occluded or visible only to neighboring connected vehicles. Vehicle-to-vehicle cooperation can reduce this uncerta…
Trajectory ForecastingAutonomous DrivingKnowledge GraphsMedical world models in healthcare: foundations, applications, and challenges for trustworthy clinical translation
Medical world models offer a framework for extending medical artificial intelligence beyond static prediction by representing evolving patient states and modelling how they change over time and in response to clinical in…
Trajectory ForecastingLLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design
Vision-radar fusion is central to robust autonomous driving, combining dense visual semantics with precise range and velocity measurements from radar. However, real-world fusion quality is fundamentally challenged by dyn…
Trajectory ForecastingImage ReconstructionAutonomous DrivingTowards Metric-Agnostic Trajectory Forecasting
Accurate trajectory forecasting of surrounding traffic participants is a core capability for autonomous driving, enabling vehicles to anticipate behavior and plan safe maneuvers. We observe that current state-of-the-art …
Trajectory ForecastingAutonomous Driving