:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Liu, Jiaqi, Hang, Peng, Hu, Xiangwang, Sun, Jian
Format:	Preprint
Published:	2024
Subjects:	Robotics
Online Access:	https://arxiv.org/abs/2405.03273
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Social Decision-Making of Autonomous Vehicles: A Mixed-Strategy Game Approach With Interaction Orientation Identification
by: Liu, Jiaqi, et al.
Published: (2023)

Interact, Instruct to Improve: A LLM-Driven Parallel Actor-Reasoner Framework for Enhancing Autonomous Vehicle Interactions
by: Fang, Shiyu, et al.
Published: (2025)

Evaluation as Evolution: Transforming Adversarial Diffusion into Closed-Loop Curricula for Autonomous Vehicles
by: Guo, Yicheng, et al.
Published: (2026)

Interactive Adversarial Testing of Autonomous Vehicles with Adjustable Confrontation Intensity
by: Guo, Yicheng, et al.
Published: (2025)

Human-Like Implicit Intention Expression for Autonomous Driving Motion Planning: A Method Based on Learning Human Intention Priors
by: Liu, Jiaqi, et al.
Published: (2023)

Delay-Aware Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control with Model-based Stability Enhancement
by: Liu, Jiaqi, et al.
Published: (2024)

Towards Interactive and Learnable Cooperative Driving Automation: a Large Language Model-Driven Decision-Making Framework
by: Fang, Shiyu, et al.
Published: (2024)

A Knowledge-Driven Diffusion Policy for End-to-End Autonomous Driving Based on Expert Routing
by: Xu, Chengkai, et al.
Published: (2025)

DDM-Lag : A Diffusion-based Decision-making Model for Autonomous Vehicles with Lagrangian Safety Enhancement
by: Liu, Jiaqi, et al.
Published: (2024)

Cooperative Decision-Making for CAVs at Unsignalized Intersections: A MARL Approach with Attention and Hierarchical Game Priors
by: Liu, Jiaqi, et al.
Published: (2024)

MAPPO-PIS: A Multi-Agent Proximal Policy Optimization Method with Prior Intent Sharing for CAVs' Cooperative Decision-Making
by: Guo, Yicheng, et al.
Published: (2024)

A Decision-Making GPT Model Augmented with Entropy Regularization for Autonomous Vehicles
by: Liu, Jiaqi, et al.
Published: (2024)

Towards Human-Centric Autonomous Driving: A Fast-Slow Architecture Integrating Large Language Model Guidance with Reinforcement Learning
by: Xu, Chengkai, et al.
Published: (2025)

LeAD: The LLM Enhanced Planning System Converged with End-to-end Autonomous Driving
by: Zhang, Yuhang, et al.
Published: (2025)

CoReVLA: A Dual-Stage End-to-End Autonomous Driving Framework for Long-Tail Scenarios via Collect-and-Refine
by: Fang, Shiyu, et al.
Published: (2025)

A Vehicle-Infrastructure Multi-layer Cooperative Decision-making Framework
by: Cui, Yiming, et al.
Published: (2025)

InterHub: A Naturalistic Trajectory Dataset with Dense Interaction for Autonomous Driving
by: Jiang, Xiyan, et al.
Published: (2024)

Language-Driven Policy Distillation for Cooperative Driving in Multi-Agent Reinforcement Learning
by: Liu, Jiaqi, et al.
Published: (2024)

Towards Full-Scenario Safety Evaluation of Automated Vehicles: A Volume-Based Method
by: Zhou, Hang, et al.
Published: (2025)

A Driver-Vehicle Model for ADS Scenario-based Testing
by: Queiroz, Rodrigo, et al.
Published: (2022)

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning
by: Xu, Chengkai, et al.
Published: (2025)

Towards Safe and Robust Autonomous Vehicle Platooning: A Self-Organizing Cooperative Control Framework
by: Xu, Chengkai, et al.
Published: (2024)

Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios
by: Sabry, Mohamed, et al.
Published: (2024)

Toward Cooperative Driving in Mixed Traffic: An Adaptive Potential Game-Based Approach with Field Test Verification
by: Fang, Shiyu, et al.
Published: (2026)

How to Evaluate Human-likeness of Interaction-aware Driver Models
by: Woo, Jemin, et al.
Published: (2024)

OnSiteVRU: A High-Resolution Trajectory Dataset for High-Density Vulnerable Road Users
by: Yan, Zhangcun, et al.
Published: (2025)

Imagined Potential Games: A Framework for Simulating, Learning and Evaluating Interactive Behaviors
by: Sun, Lingfeng, et al.
Published: (2024)

LiloDriver: A Lifelong Learning Framework for Closed-loop Motion Planning in Long-tail Autonomous Driving Scenarios
by: Yao, Huaiyuan, et al.
Published: (2025)

RESC: A Reinforcement Learning Based Search-to-Control Framework for Quadrotor Local Planning in Dense Environments
by: Liu, Zhaohong, et al.
Published: (2024)

Beyond ADE and FDE: A Comprehensive Evaluation Framework for Safety-Critical Prediction in Multi-Agent Autonomous Driving Scenarios
by: Liu, Feifei, et al.
Published: (2025)

Scene-Extrapolation: Generating Interactive Traffic Scenarios
by: Zipfl, Maximilian, et al.
Published: (2024)

Scenario Generation in Roundabouts with Adjustable Interaction Intensity
by: Li, Li, et al.
Published: (2026)

Characterizing the Complexity of Social Robot Navigation Scenarios
by: Stratton, Andrew, et al.
Published: (2024)

Towards Interactive Autonomous Vehicle Testing: Vehicle-Under-Test-Centered Traffic Simulation
by: Liu, Yiru, et al.
Published: (2024)

Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning
by: Weiwei, Liu, et al.
Published: (2024)

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving
by: Li, Jingzheng, et al.
Published: (2025)

Responsibility and Engagement -- Evaluating Interactions in Social Robot Navigation
by: Probst, Malte, et al.
Published: (2025)

Benchmarking Autonomous Vehicles: A Driver Foundation Model Framework
by: Zhang, Yuxin, et al.
Published: (2026)

Map-Agnostic And Interactive Safety-Critical Scenario Generation via Multi-Objective Tree Search
by: Li, Wenyun, et al.
Published: (2026)

Experimental Evaluation of ROS-Causal in Real-World Human-Robot Spatial Interaction Scenarios
by: Castri, Luca, et al.
Published: (2024)