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Trajectory Prediction
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Trajectory Prediction is the problem of predicting the short-term (1-3 seconds) and long-term (3-5 seconds) spatial coordinates of various road-agents such as cars, buses, pedestrians, rickshaws, and animals, etc. These road-agents have different dynamic behaviors that may correspond to aggressive or conservative driving styles.
Source: Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction
Boundary-Guided Trajectory Prediction for Road Aware and Physically Feasible Autonomous Driving
TPK: Trustworthy Trajectory Prediction Integrating Prior Knowledge For Interpretability and Kinematic Feasibility
Realistic Adversarial Attacks for Robustness Evaluation of Trajectory Prediction Models via Future State Perturbation
TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution
Occupancy World Model for Robots
ParkDiffusion: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction for Automated Parking using Diffusion Models
Visual Trajectory Prediction of Vessels for Inland Navigation
Open-Source LLM-Driven Federated Transformer for Predictive IoV Management
Towards Ball Spin and Trajectory Analysis in Table Tennis Broadcast Videos via Physically Grounded Synthetic-to-Real Transfer
SocialMOIF: Multi-Order Intention Fusion for Pedestrian Trajectory Prediction
Lightweight LiDAR-Camera 3D Dynamic Object Detection and Multi-Class Trajectory Prediction
Equi-Euler GraphNet: An Equivariant, Temporal-Dynamics Informed Graph Neural Network for Dual Force and Trajectory Prediction in Multi-Body Systems
Learning Through Retrospection: Improving Trajectory Prediction for Automated Driving with Error Feedback
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
GC-GAT: Multimodal Vehicular Trajectory Prediction using Graph Goal Conditioning and Cross-context Attention
LMFormer: Lane based Motion Prediction Transformer
The Invisible EgoHand: 3D Hand Forecasting through EgoBody Pose Estimation
Novel Diffusion Models for Multimodal 3D Hand Trajectory Prediction
GAMDTP: Dynamic Trajectory Prediction with Graph Attention Mamba Network
DyTTP: Trajectory Prediction with Normalization-Free Transformers
Data-Driven Object Tracking: Integrating Modular Neural Networks into a Kalman Framework
Learning Velocity and Acceleration: Self-Supervised Motion Consistency for Pedestrian Trajectory Prediction
OnSiteVRU: A High-Resolution Trajectory Dataset for High-Density Vulnerable Road Users
Enhancing Human Motion Prediction via Multi-range Decoupling Decoding with Gating-adjusting Aggregation
Multi-modal Knowledge Distillation-based Human Trajectory Forecasting
Fine-Grained Behavior and Lane Constraints Guided Trajectory Prediction Method
A Multi-Modal Knowledge-Enhanced Framework for Vessel Trajectory Prediction
ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation
A Universal Model Combining Differential Equations and Neural Networks for Ball Trajectory Prediction
Predicting the Road Ahead: A Knowledge Graph based Foundation Model for Scene Understanding in Autonomous Driving
Physical Plausibility-aware Trajectory Prediction via Locomotion Embodiment
GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving
Stochastic Trajectory Prediction under Unstructured Constraints
Continuous Simplicial Neural Networks
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