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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)
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
ECAM: A Contrastive Learning Approach to Avoid Environmental Collision in Trajectory Forecasting
Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics
Egocentric Event-Based Vision for Ping Pong Ball Trajectory Prediction
FRED: The Florence RGB-Event Drone Dataset
Generative AI for Autonomous Driving: A Review
Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting
SocialMOIF: Multi-Order Intention Fusion for Pedestrian Trajectory Prediction
The Invisible EgoHand: 3D Hand Forecasting through EgoBody Pose Estimation
DyTTP: Trajectory Prediction with Normalization-Free Transformers
Multi-modal Knowledge Distillation-based Human Trajectory Forecasting
MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation
Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions
Controllable Motion Generation via Diffusion Modal Coupling
EMT: A Visual Multi-Task Benchmark Dataset for Autonomous Driving in the Arab Gulf Region
TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing Flows
A Survey of World Models for Autonomous Driving
ASTRA: A Scene-aware TRAnsformer-based model for trajectory prediction
Socially-Informed Reconstruction for Pedestrian Trajectory Forecasting
Who Walks With You Matters: Perceiving Social Interactions with Groups for Pedestrian Trajectory Prediction
RealTraj: Towards Real-World Pedestrian Trajectory Forecasting
DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting
TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis
TFT-multi: simultaneous forecasting of vital sign trajectories in the ICU
Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks
SITUATE: Indoor Human Trajectory Prediction through Geometric Features and Self-Supervised Vision Representation
Enhanced Prediction of Multi-Agent Trajectories via Control Inference and State-Space Dynamics
Data-Driven Traffic Simulation for an Intersection in a Metropolis
Amelia: A Large Model and Dataset for Airport Surface Movement Forecasting
Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention
ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images
DeTra: A Unified Model for Object Detection and Trajectory Forecasting
Trajectory Forecasting through Low-Rank Adaptation of Discrete Latent Codes
Enhancing Maritime Trajectory Forecasting via H3 Index and Causal Language Modelling (CLM)
Bidirectional Progressive Transformer for Interaction Intention Anticipation
KI-GAN: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized Intersections
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