CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model
Fuente:
arXiv
Saved in:
| Main Authors: | Yao, Ruoyu, Wang, Yubin, Liu, Haichao, Yang, Rui, Peng, Zengqi, Zhu, Lei, Ma, Jun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LMMCoDrive: Cooperative Driving with Large Multimodal Model
by: Liu, Haichao, et al.
Published: (2024)
by: Liu, Haichao, et al.
Published: (2024)
Bilevel Multi-Armed Bandit-Based Hierarchical Reinforcement Learning for Interaction-Aware Self-Driving at Unsignalized Intersections
by: Peng, Zengqi, et al.
Published: (2025)
by: Peng, Zengqi, et al.
Published: (2025)
Occlusion-Aware Contingency Safety-Critical Planning for Autonomous Driving
by: Zheng, Lei, et al.
Published: (2025)
by: Zheng, Lei, et al.
Published: (2025)
Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections
by: Peng, Zengqi, et al.
Published: (2024)
by: Peng, Zengqi, et al.
Published: (2024)
LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models
by: Peng, Zengqi, et al.
Published: (2025)
by: Peng, Zengqi, et al.
Published: (2025)
SocialTraj: Two-Stage Socially-Aware Trajectory Prediction for Autonomous Driving via Conditional Diffusion Model
by: Zhou, Xiao, et al.
Published: (2025)
by: Zhou, Xiao, et al.
Published: (2025)
Incremental Bayesian Learning for Fail-Operational Control in Autonomous Driving
by: Zheng, Lei, et al.
Published: (2024)
by: Zheng, Lei, et al.
Published: (2024)
Spatiotemporal Receding Horizon Control with Proactive Interaction Towards Autonomous Driving in Dense Traffic
by: Zheng, Lei, et al.
Published: (2023)
by: Zheng, Lei, et al.
Published: (2023)
CoPlanner: An Interactive Motion Planner with Contingency-Aware Diffusion for Autonomous Driving
by: Zhong, Ruiguo, et al.
Published: (2025)
by: Zhong, Ruiguo, et al.
Published: (2025)
DualShield: Safe Model Predictive Diffusion via Reachability Analysis for Interactive Autonomous Driving
by: Yang, Rui, et al.
Published: (2026)
by: Yang, Rui, et al.
Published: (2026)
Orchestrate, Generate, Reflect: A VLM-Based Multi-Agent Collaboration Framework for Automated Driving Policy Learning
by: Peng, Zengqi, et al.
Published: (2025)
by: Peng, Zengqi, et al.
Published: (2025)
Learning the References of Online Model Predictive Control for Urban Self-Driving
by: Wang, Yubin, et al.
Published: (2023)
by: Wang, Yubin, et al.
Published: (2023)
CoDriveVLM: VLM-Enhanced Urban Cooperative Dispatching and Motion Planning for Future Autonomous Mobility on Demand Systems
by: Liu, Haichao, et al.
Published: (2025)
by: Liu, Haichao, et al.
Published: (2025)
Chance-Aware Lane Change with High-Level Model Predictive Control Through Curriculum Reinforcement Learning
by: Wang, Yubin, et al.
Published: (2023)
by: Wang, Yubin, et al.
Published: (2023)
nuPlan-R: A Closed-Loop Planning Benchmark for Autonomous Driving via Reactive Multi-Agent Simulation
by: Peng, Mingxing, et al.
Published: (2025)
by: Peng, Mingxing, et al.
Published: (2025)
Barrier-Enhanced Parallel Homotopic Trajectory Optimization for Safety-Critical Autonomous Driving
by: Zheng, Lei, et al.
Published: (2024)
by: Zheng, Lei, et al.
Published: (2024)
SEG-Parking: Towards Safe, Efficient, and Generalizable Autonomous Parking via End-to-End Offline Reinforcement Learning
by: Yang, Zewei, et al.
Published: (2025)
by: Yang, Zewei, et al.
Published: (2025)
Enhance Planning with Physics-informed Safety Controller for End-to-end Autonomous Driving
by: Zhou, Hang, et al.
Published: (2024)
by: Zhou, Hang, et al.
Published: (2024)
VLM-UDMC: VLM-Enhanced Unified Decision-Making and Motion Control for Urban Autonomous Driving
by: Liu, Haichao, et al.
Published: (2025)
by: Liu, Haichao, et al.
Published: (2025)
RoboTron-Drive: All-in-One Large Multimodal Model for Autonomous Driving
by: Huang, Zhijian, et al.
Published: (2024)
by: Huang, Zhijian, et al.
Published: (2024)
DSDrive: Distilling Large Language Model for Lightweight End-to-End Autonomous Driving with Unified Reasoning and Planning
by: Liu, Wenru, et al.
Published: (2025)
by: Liu, Wenru, et al.
Published: (2025)
Effects of Multimodal Explanations for Autonomous Driving on Driving Performance, Cognitive Load, Expertise, Confidence, and Trust
by: Kaufman, Robert, et al.
Published: (2024)
by: Kaufman, Robert, et al.
Published: (2024)
LLM-Driven Scenario-Aware Planning for Autonomous Driving
by: Li, He, et al.
Published: (2026)
by: Li, He, et al.
Published: (2026)
CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous Driving
by: Delavari, Elahe, et al.
Published: (2025)
by: Delavari, Elahe, et al.
Published: (2025)
DynFlowDrive: Flow-Based Dynamic World Modeling for Autonomous Driving
by: Liu, Xiaolu, et al.
Published: (2026)
by: Liu, Xiaolu, et al.
Published: (2026)
UDMC: Unified Decision-Making and Control Framework for Urban Autonomous Driving with Motion Prediction of Traffic Participants
by: Liu, Haichao, et al.
Published: (2025)
by: Liu, Haichao, et al.
Published: (2025)
LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios
by: Peng, Mingxing, et al.
Published: (2025)
by: Peng, Mingxing, et al.
Published: (2025)
Large Multimodal Models for Embodied Intelligent Driving: The Next Frontier in Self-Driving?
by: Zhang, Long, et al.
Published: (2026)
by: Zhang, Long, et al.
Published: (2026)
RiskMap: A Unified Driving Context Representation for Autonomous Motion Planning in Urban Driving Environment
by: Xin, Ren, et al.
Published: (2024)
by: Xin, Ren, et al.
Published: (2024)
Large Language Model based Interactive Decision-Making for Autonomous Driving
by: Dong, Xinwei, et al.
Published: (2026)
by: Dong, Xinwei, et al.
Published: (2026)
StyleVLA: Driving Style-Aware Vision Language Action Model for Autonomous Driving
by: Gao, Yuan, et al.
Published: (2026)
by: Gao, Yuan, et al.
Published: (2026)
Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving
by: Song, Ziying, et al.
Published: (2025)
by: Song, Ziying, et al.
Published: (2025)
TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving
by: Li, Jiaxiang, et al.
Published: (2026)
by: Li, Jiaxiang, et al.
Published: (2026)
Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future
by: Hu, Tianshuai, et al.
Published: (2025)
by: Hu, Tianshuai, et al.
Published: (2025)
DriveAgent: Multi-Agent Structured Reasoning with LLM and Multimodal Sensor Fusion for Autonomous Driving
by: Hou, Xinmeng, et al.
Published: (2025)
by: Hou, Xinmeng, et al.
Published: (2025)
Uncertainty-Aware Prediction and Application in Planning for Autonomous Driving: Definitions, Methods, and Comparison
by: Shao, Wenbo, et al.
Published: (2024)
by: Shao, Wenbo, et al.
Published: (2024)
NetRoller: Interfacing General and Specialized Models for End-to-End Autonomous Driving
by: Xin, Ren, et al.
Published: (2025)
by: Xin, Ren, et al.
Published: (2025)
Seeing before Observable: Potential Risk Reasoning in Autonomous Driving via Vision Language Models
by: Liu, Jiaxin, et al.
Published: (2025)
by: Liu, Jiaxin, et al.
Published: (2025)
DeFlow: Decoder of Scene Flow Network in Autonomous Driving
by: Zhang, Qingwen, et al.
Published: (2024)
by: Zhang, Qingwen, et al.
Published: (2024)
HERMES: A Holistic End-to-End Risk-Aware Multimodal Embodied System with Vision-Language Models for Long-Tail Autonomous Driving
by: Tang, Weizhe, et al.
Published: (2026)
by: Tang, Weizhe, et al.
Published: (2026)
Similar Items
-
LMMCoDrive: Cooperative Driving with Large Multimodal Model
by: Liu, Haichao, et al.
Published: (2024) -
Bilevel Multi-Armed Bandit-Based Hierarchical Reinforcement Learning for Interaction-Aware Self-Driving at Unsignalized Intersections
by: Peng, Zengqi, et al.
Published: (2025) -
Occlusion-Aware Contingency Safety-Critical Planning for Autonomous Driving
by: Zheng, Lei, et al.
Published: (2025) -
Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections
by: Peng, Zengqi, et al.
Published: (2024) -
LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models
by: Peng, Zengqi, et al.
Published: (2025)