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Motion Forecasting
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Motion forecasting is the task of predicting the location of a tracked object in the future
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
GoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction
Scaling Laws of Motion Forecasting and Planning -- A Technical Report
HUMOF: Human Motion Forecasting in Interactive Social Scenes
Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories
RetroMotion: Retrocausal Motion Forecasting Models are Instructable
HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning
VALISENS: A Validated Innovative Multi-Sensor System for Cooperative Automated Driving
M3CAD: Towards Generic Cooperative Autonomous Driving Benchmark
SafeCast: Risk-Responsive Motion Forecasting for Autonomous Vehicles
CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting
Future-Aware Interaction Network For Motion Forecasting
Motion Forecasting for Autonomous Vehicles: A Survey
Target-driven Self-Distillation for Partial Observed Trajectories Forecasting
Modular Framework for Uncertainty Prediction in Autonomous Vehicle Motion Forecasting within Complex Traffic Scenarios
TrajFlow: A Generative Framework for Occupancy Density Estimation Using Normalizing Flows
PPT: Pretraining with Pseudo-Labeled Trajectories for Motion Forecasting
Enhancing Lane Segment Perception and Topology Reasoning with Crowdsourcing Trajectory Priors
Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding
Planning-Aware Diffusion Networks for Enhanced Motion Forecasting in Autonomous Driving
MambaBEV: An efficient 3D detection model with Mamba2
Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels
DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States
Motion Forecasting in Continuous Driving
MDMP: Multi-modal Diffusion for supervised Motion Predictions with uncertainty
Massively Multi-Person 3D Human Motion Forecasting with Scene Context
BAD: Bidirectional Auto-regressive Diffusion for Text-to-Motion Generation
TrajSSL: Trajectory-Enhanced Semi-Supervised 3D Object Detection
Annealed Winner-Takes-All for Motion Forecasting
Motion Forecasting via Model-Based Risk Minimization
Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences
Forecasting Future Videos from Novel Views via Disentangled 3D Scene Representation
Efficient Data Representation for Motion Forecasting: A Scene-Specific Trajectory Set Approach
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models
Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting
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