Cover Image

Trajectory Prediction for Autonomous Driving using Agent-Interaction Graph Embedding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Samiuddin, Jilan, Boulet, Benoit, Wu, Di
Format:	Preprint
Published:	2024
Subjects:	Robotics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles
by: Samiuddin, Jilan, et al.
Published: (2024)

An Online Self-learning Graph-based Lateral Controller for Self-Driving Cars
by: Samiuddin, Jilan, et al.
Published: (2024)

Goal-Conditioned Data Augmentation for Offline Reinforcement Learning
by: Huang, Xingshuai, et al.
Published: (2024)

Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows
by: Rabenstein, Georg, et al.
Published: (2024)

Evaluating Pedestrian Trajectory Prediction Methods with Respect to Autonomous Driving
by: Uhlemann, Nico, et al.
Published: (2023)

Robot Policy Learning with Temporal Optimal Transport Reward
by: Fu, Yuwei, et al.
Published: (2024)

ProIn: Learning to Predict Trajectory Based on Progressive Interactions for Autonomous Driving
by: Dong, Yinke, et al.
Published: (2024)

Equivariant Map and Agent Geometry for Autonomous Driving Motion Prediction
by: Wang, Yuping, et al.
Published: (2023)

UniGen: Unified Modeling of Initial Agent States and Trajectories for Generating Autonomous Driving Scenarios
by: Mahjourian, Reza, et al.
Published: (2024)

NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving
by: Wang, Chengyue, et al.
Published: (2024)

BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
by: Zhou, Zikang, et al.
Published: (2024)

Predictive Planner for Autonomous Driving with Consistency Models
by: Li, Anjian, et al.
Published: (2025)

Dynamics-Decoupled Trajectory Alignment for Sim-to-Real Transfer in Reinforcement Learning for Autonomous Driving
by: Steinecker, Thomas, et al.
Published: (2025)

CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving
by: Zhang, Junrui, et al.
Published: (2025)

Machine Learning-Based Vehicle Intention Trajectory Recognition and Prediction for Autonomous Driving
by: Yu, Hanyi, et al.
Published: (2024)

FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving
by: Wang, Baoyun, et al.
Published: (2026)

Socially-Aware Autonomous Driving: Inferring Yielding Intentions for Safer Interactions
by: Wang, Jing, et al.
Published: (2025)

Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions
by: Madjid, Nadya Abdel, et al.
Published: (2025)

Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
by: Zheng, Zhi, et al.
Published: (2024)

Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
by: Grewal, Ruben, et al.
Published: (2024)

CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous Driving
by: Chen, Changhe, et al.
Published: (2023)

Learning Safe Autonomous Driving Policies Using Predictive Safety Representations
by: Keswani, Mahesh, et al.
Published: (2025)

Vision-based DRL Autonomous Driving Agent with Sim2Real Transfer
by: Li, Dianzhao, et al.
Published: (2023)

Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles
by: Guo, Tongfe, et al.
Published: (2024)

RiskNet: Interaction-Aware Risk Forecasting for Autonomous Driving in Long-Tail Scenarios
by: Liu, Qichao, et al.
Published: (2025)

Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments
by: Lee, Sang-Hyun, et al.
Published: (2023)

ParkDiffusion: Heterogeneous Multi-Agent Multi-Modal Trajectory Prediction for Automated Parking using Diffusion Models
by: Wei, Jiarong, et al.
Published: (2025)

Interactive Double Deep Q-network: Integrating Human Interventions and Evaluative Predictions in Reinforcement Learning of Autonomous Driving
by: Sygkounas, Alkis, et al.
Published: (2025)

Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
by: Brunnbauer, Axel, et al.
Published: (2024)

RDAR: Reward-Driven Agent Relevance Estimation for Autonomous Driving
by: Bosio, Carlo, et al.
Published: (2025)

Diverse and Adaptive Behavior Curriculum for Autonomous Driving: A Student-Teacher Framework with Multi-Agent RL
by: Abouelazm, Ahmed, et al.
Published: (2025)

MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data Integration
by: Chen, Xi, et al.
Published: (2024)

Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles
by: Wen, Ruoqi, et al.
Published: (2023)

Learning Soft Driving Constraints from Vectorized Scene Embeddings while Imitating Expert Trajectories
by: Mobarakeh, Niloufar Saeidi, et al.
Published: (2024)

FedDSR: Federated Deep Supervision and Regularization Towards Autonomous Driving
by: Kou, Wei-Bin, et al.
Published: (2025)

EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving
by: Wang, Yuping, et al.
Published: (2023)

Planning with Adaptive World Models for Autonomous Driving
by: Vasudevan, Arun Balajee, et al.
Published: (2024)

GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction
by: Luo, Yuhao, et al.
Published: (2024)

NaviDriveVLM: Decoupling High-Level Reasoning and Motion Planning for Autonomous Driving
by: Tao, Ximeng, et al.
Published: (2026)

Robust Planning for Autonomous Driving via Mixed Adversarial Diffusion Predictions
by: Zhao, Albert, et al.
Published: (2025)