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Trajectory Forecasting
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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)
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting
Producing and Leveraging Online Map Uncertainty in Trajectory Prediction
Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving
TrackGPT -- A generative pre-trained transformer for cross-domain entity trajectory forecasting
Uncovering the human motion pattern: Pattern Memory-based Diffusion Model for Trajectory Prediction
Cooperative Probabilistic Trajectory Forecasting under Occlusion
JRDB-Traj: A Dataset and Benchmark for Trajectory Forecasting in Crowds
Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic Feature Fusion for Problem Shifting
Inferring Relational Potentials in Interacting Systems
KI-PMF: Knowledge Integrated Plausible Motion Forecasting
Fast, Expressive SE$(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space
Streaming Motion Forecasting for Autonomous Driving
A Diffusion-Model of Joint Interactive Navigation
Pre-training on Synthetic Driving Data for Trajectory Prediction
Staged Contact-Aware Global Human Motion Forecasting
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving
Likely, Light, and Accurate Context-Free Clusters-based Trajectory Prediction
trajdata: A Unified Interface to Multiple Human Trajectory Datasets
EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting
Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting
Navigating Uncertainty: The Role of Short-Term Trajectory Prediction in Autonomous Vehicle Safety
Human Trajectory Forecasting with Explainable Behavioral Uncertainty
Enhancing Mapless Trajectory Prediction through Knowledge Distillation
Collision Avoidance Detour for Multi-Agent Trajectory Forecasting
RedMotion: Motion Prediction via Redundancy Reduction
CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments
Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attention
Pedestrian Trajectory Forecasting Using Deep Ensembles Under Sensing Uncertainty
Distilling Knowledge for Short-to-Long Term Trajectory Prediction
V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting
Joint Metrics Matter: A Better Standard for Trajectory Forecasting
Generating synthetic multi-dimensional molecular-mediator time series data for artificial intelligence-based disease trajectory forecasting and drug development digital twins: Considerations
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints
Distribution-aware Goal Prediction and Conformant Model-based Planning for Safe Autonomous Driving
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