Copertina

An Intention-driven Lane Change Framework Considering Heterogeneous Dynamic Cooperation in Mixed-traffic Environment

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Qiu, Xiaoyun, Liu, Haichao, Pan, Yue, Ma, Jun, Zheng, Xinhu
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Deployment-friendly Lane-changing Intention Prediction Powered by Brain-inspired Spiking Neural Networks
di: Shen, Shuqi, et al.
Pubblicazione: (2025)

HCOMC: A Hierarchical Cooperative On-Ramp Merging Control Framework in Mixed Traffic Environment on Two-Lane Highways
di: Wang, Tianyi, et al.
Pubblicazione: (2025)

LMMCoDrive: Cooperative Driving with Large Multimodal Model
di: Liu, Haichao, et al.
Pubblicazione: (2024)

Robust Energy-Aware Routing for Air-Ground Cooperative Multi-UAV Delivery in Wind-Uncertain Environments
di: Li, Tianshun, et al.
Pubblicazione: (2026)

Performance Comparison of Deep RL Algorithms for Mixed Traffic Cooperative Lane-Changing
di: Yao, Xue, et al.
Pubblicazione: (2024)

Parallel Optimization with Hard Safety Constraints for Cooperative Planning of Connected Autonomous Vehicles
di: Huang, Zhenmin, et al.
Pubblicazione: (2023)

TGLD: A Trust-Aware Game-Theoretic Lane-Changing Decision Framework for Automated Vehicles in Heterogeneous Traffic
di: Pan, Jie, et al.
Pubblicazione: (2025)

Facilitating Cooperative and Distributed Multi-Vehicle Lane Change Maneuvers
di: Kim, Hansung, et al.
Pubblicazione: (2023)

Characterizing Lane-Changing Behavior in Mixed Traffic
di: Chung, Sungyong, et al.
Pubblicazione: (2025)

Chance-Aware Lane Change with High-Level Model Predictive Control Through Curriculum Reinforcement Learning
di: Wang, Yubin, et al.
Pubblicazione: (2023)

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles
di: Liu, Wenru, et al.
Pubblicazione: (2024)

Robot Navigation in Unknown and Cluttered Workspace with Dynamical System Modulation in Starshaped Roadmap
di: Chen, Kai, et al.
Pubblicazione: (2024)

CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand Systems
di: Liu, Haichao, et al.
Pubblicazione: (2025)

Design, Modeling, and Validation of Multi‐Segmental Adaptive Pipeline Robots in Complex Pipeline Environments
di: Ke Liu, et al.
Pubblicazione: (2025)

SpecFuse: A Spectral-Temporal Fusion Predictive Control Framework for UAV Landing on Oscillating Marine Platforms
di: Liu, Haichao, et al.
Pubblicazione: (2026)

HetSwarm: Cooperative Navigation of Heterogeneous Swarm in Dynamic and Dense Environments through Impedance-based Guidance
di: Zafar, Malaika, et al.
Pubblicazione: (2025)

Improved Consensus ADMM for Cooperative Motion Planning of Large-Scale Connected Autonomous Vehicles with Limited Communication
di: Liu, Haichao, et al.
Pubblicazione: (2024)

Modular Multi-Level Replanning TAMP Framework for Dynamic Environment
di: Lin, Tao, et al.
Pubblicazione: (2023)

A Long-Short-Term Mixed-Integer Formulation for Highway Lane Change Planning
di: Reiter, Rudolf, et al.
Pubblicazione: (2024)

Generative Modeling for Adversarial Lane-Change Scenarios
di: Zhang, Chuancheng, et al.
Pubblicazione: (2025)

A Physics-informed End-to-End Occupancy Framework for Motion Planning of Autonomous Vehicles
di: Shen, Shuqi, et al.
Pubblicazione: (2025)

A Universal Multi-Vehicle Cooperative Decision-Making Approach in Structured Roads by Mixed-Integer Potential Game
di: Meng, Chengzhen, et al.
Pubblicazione: (2024)

Discretionary Lane-Change Decision and Control via Parameterized Soft Actor-Critic for Hybrid Action Space
di: Lin, Yuan, et al.
Pubblicazione: (2024)

Cooperative Indoor Exploration Leveraging a Mixed-Size UAV Team with Heterogeneous Sensors
di: Cihlářová, Michaela, et al.
Pubblicazione: (2024)

Active Learning-augmented Intention-aware Obstacle Avoidance of Autonomous Surface Vehicles in High-traffic Waters
di: Jeong, Mingi, et al.
Pubblicazione: (2024)

LIV-GaussMap: LiDAR-Inertial-Visual Fusion for Real-time 3D Radiance Field Map Rendering
di: Hong, Sheng, et al.
Pubblicazione: (2024)

A Learning-based Discretionary Lane-Change Decision-Making Model with Driving Style Awareness
di: Zhang, Yifan, et al.
Pubblicazione: (2020)

SkyVLN: Vision-and-Language Navigation and NMPC Control for UAVs in Urban Environments
di: Li, Tianshun, et al.
Pubblicazione: (2025)

Language and Sketching: An LLM-driven Interactive Multimodal Multitask Robot Navigation Framework
di: Zu, Weiqin, et al.
Pubblicazione: (2023)

Semantic-LiDAR-Inertial-Wheel Odometry Fusion for Robust Localization in Large-Scale Dynamic Environments
di: Jiang, Haoxuan, et al.
Pubblicazione: (2025)

Mix Q-learning for Lane Changing: A Collaborative Decision-Making Method in Multi-Agent Deep Reinforcement Learning
di: Bi, Xiaojun, et al.
Pubblicazione: (2024)

ConvoyLLM: Dynamic Multi-Lane Convoy Control Using LLMs
di: Lu, Liping, et al.
Pubblicazione: (2025)

A Human-Oriented Cooperative Driving Approach: Integrating Driving Intention, State, and Conflict
di: Wang, Qin, et al.
Pubblicazione: (2025)

RoboDexVLM: Visual Language Model-Enabled Task Planning and Motion Control for Dexterous Robot Manipulation
di: Liu, Haichao, et al.
Pubblicazione: (2025)

MoE-ACT: Scaling Multi-Task Bimanual Manipulation with Sparse Language-Conditioned Mixture-of-Experts Transformers
di: Guo, Kangjun, et al.
Pubblicazione: (2026)

Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning
di: Hu, Jia, et al.
Pubblicazione: (2024)

Consensus-Based Dynamic Task Allocation for Multi-Robot System Considering Payloads Consumption
di: Qiu, Xuekai, et al.
Pubblicazione: (2024)

UDMC: Unified Decision-Making and Control Framework for Urban Autonomous Driving with Motion Prediction of Traffic Participants
di: Liu, Haichao, et al.
Pubblicazione: (2025)

Integrated Intention Prediction and Decision-Making with Spectrum Attention Net and Proximal Policy Optimization
di: Zhou, Xiao, et al.
Pubblicazione: (2024)

P$^{3}$Nav: End-to-End Perception, Prediction and Planning for Vision-and-Language Navigation
di: Li, Tianfu, et al.
Pubblicazione: (2026)