DriveMind: A Dual Visual Language Model-based Reinforcement Learning Framework for Autonomous Driving
Fuente:
arXiv
Saved in:
| Main Authors: | Wasif, Dawood, Moore, Terrence J., Reddy, Chandan K., Free-Nelson, Frederica, Yoon, Seunghyun, Lim, Hyuk, Kim, Dan Dongseong, Cho, Jin-Hee |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Risk-Aware Human-in-the-Loop Framework with Adaptive Intrusion Response for Autonomous Vehicles
by: Wasif, Dawood, et al.
Published: (2026)
by: Wasif, Dawood, et al.
Published: (2026)
Toward Individual Fairness Without Centralized Data: Selective Counterfactual Consistency for Vertical Federated Learning
by: Wasif, Dawood, et al.
Published: (2026)
by: Wasif, Dawood, et al.
Published: (2026)
DASH: Deception-Augmented Shared Mental Model for a Human-Machine Teaming System
by: Wan, Zelin, et al.
Published: (2025)
by: Wan, Zelin, et al.
Published: (2025)
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility
by: Wasif, Dawood, et al.
Published: (2025)
by: Wasif, Dawood, et al.
Published: (2025)
Advancing Human-Machine Teaming: Concepts, Challenges, and Applications
by: Chen, Dian, et al.
Published: (2025)
by: Chen, Dian, et al.
Published: (2025)
Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI
by: Wasif, Dawood, et al.
Published: (2025)
by: Wasif, Dawood, et al.
Published: (2025)
MURIM: Multidimensional Reputation-based Incentive Mechanism for Federated Learning
by: Madabushi, Sindhuja, et al.
Published: (2025)
by: Madabushi, Sindhuja, et al.
Published: (2025)
Multi-Agent Code-Orchestrated Generation for Reliable Infrastructure-as-Code
by: Khan, Rana Nameer Hussain, et al.
Published: (2025)
by: Khan, Rana Nameer Hussain, et al.
Published: (2025)
MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning
by: Fu, Haoyu, et al.
Published: (2025)
by: Fu, Haoyu, et al.
Published: (2025)
COTTA: Context-Aware Transfer Adaptation for Trajectory Prediction in Autonomous Driving
by: Park, Seohyoung, et al.
Published: (2026)
by: Park, Seohyoung, et al.
Published: (2026)
HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models
by: Cho, Hoonhee, et al.
Published: (2026)
by: Cho, Hoonhee, et al.
Published: (2026)
Open-Source Autonomous Driving Software Platforms: Comparison of Autoware and Apollo
by: Jung, Hee-Yang, et al.
Published: (2025)
by: Jung, Hee-Yang, et al.
Published: (2025)
MindDriver: Introducing Progressive Multimodal Reasoning for Autonomous Driving
by: Zhang, Lingjun, et al.
Published: (2026)
by: Zhang, Lingjun, et al.
Published: (2026)
Personalized Autonomous Driving via Optimal Control with Clearance Constraints from Questionnaires
by: Lim, Yongjae, et al.
Published: (2026)
by: Lim, Yongjae, et al.
Published: (2026)
AdaThinkDrive: Adaptive Thinking via Reinforcement Learning for Autonomous Driving
by: Luo, Yuechen, et al.
Published: (2025)
by: Luo, Yuechen, et al.
Published: (2025)
Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights
by: Liao, Haicheng, et al.
Published: (2025)
by: Liao, Haicheng, et al.
Published: (2025)
FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving
by: Zeng, Shuang, et al.
Published: (2025)
by: Zeng, Shuang, et al.
Published: (2025)
DualAD: Dual-Layer Planning for Reasoning in Autonomous Driving
by: Wang, Dingrui, et al.
Published: (2024)
by: Wang, Dingrui, et al.
Published: (2024)
AVOID: The Adverse Visual Conditions Dataset with Obstacles for Driving Scene Understanding
by: Jeong, Jongoh, et al.
Published: (2025)
by: Jeong, Jongoh, et al.
Published: (2025)
Visual Implicit Geometry Transformer for Autonomous Driving
by: Shirokov, Arsenii, et al.
Published: (2026)
by: Shirokov, Arsenii, et al.
Published: (2026)
ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
by: Li, Yongkang, et al.
Published: (2025)
by: Li, Yongkang, et al.
Published: (2025)
Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning
by: Li, Yue, et al.
Published: (2025)
by: Li, Yue, et al.
Published: (2025)
AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning
by: Jiang, Bo, et al.
Published: (2025)
by: Jiang, Bo, et al.
Published: (2025)
MindDrive: An All-in-One Framework Bridging World Models and Vision-Language Model for End-to-End Autonomous Driving
by: Sun, Bin, et al.
Published: (2025)
by: Sun, Bin, et al.
Published: (2025)
FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information
by: Hwang, Dongseong
Published: (2024)
by: Hwang, Dongseong
Published: (2024)
HumanoidTurk: Expanding VR Haptics with Humanoids for Driving Simulations
by: Lee, DaeHo, et al.
Published: (2026)
by: Lee, DaeHo, et al.
Published: (2026)
TinyDrive: Multiscale Visual Question Answering with Selective Token Routing for Autonomous Driving
by: Hassani, Hossein, et al.
Published: (2025)
by: Hassani, Hossein, et al.
Published: (2025)
DriveVGGT: Calibration-Constrained Visual Geometry Transformers for Multi-Camera Autonomous Driving
by: Jia, Xiaosong, et al.
Published: (2025)
by: Jia, Xiaosong, et al.
Published: (2025)
Autonomous Driving
Published: (2018)
Published: (2018)
VR-Drive: Viewpoint-Robust End-to-End Driving with Feed-Forward 3D Gaussian Splatting
by: Cho, Hoonhee, et al.
Published: (2025)
by: Cho, Hoonhee, et al.
Published: (2025)
ImagiDrive: A Unified Imagination-and-Planning Framework for Autonomous Driving
by: Li, Jingyu, et al.
Published: (2025)
by: Li, Jingyu, et al.
Published: (2025)
APT-Agent: Automated Penetration Testing using Large Language Models
by: Li, William Guanting, et al.
Published: (2026)
by: Li, William Guanting, et al.
Published: (2026)
LVDrive: Latent Visual Representation Enhanced Vision-Language-Action Autonomous Driving Model
by: Mei, Xiaodong, et al.
Published: (2026)
by: Mei, Xiaodong, et al.
Published: (2026)
Risk-Aware Reinforcement Learning for Autonomous Driving: Improving Safety When Driving through Intersection
by: Leng, Bo, et al.
Published: (2025)
by: Leng, Bo, et al.
Published: (2025)
TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning
by: Xu, Chengkai, et al.
Published: (2025)
by: Xu, Chengkai, et al.
Published: (2025)
ThinkDrive: Chain-of-Thought Guided Progressive Reinforcement Learning Fine-Tuning for Autonomous Driving
by: Zhao, Chang, et al.
Published: (2026)
by: Zhao, Chang, et al.
Published: (2026)
Multi-Timescale Hierarchical Reinforcement Learning for Unified Behavior and Control of Autonomous Driving
by: Jin, Guizhe, et al.
Published: (2025)
by: Jin, Guizhe, et al.
Published: (2025)
Hybrid Action Based Reinforcement Learning for Multi-Objective Compatible Autonomous Driving
by: Jin, Guizhe, et al.
Published: (2025)
by: Jin, Guizhe, et al.
Published: (2025)
Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving
by: Wu, Yang, et al.
Published: (2026)
by: Wu, Yang, et al.
Published: (2026)
LingoQA: Visual Question Answering for Autonomous Driving
by: Marcu, Ana-Maria, et al.
Published: (2023)
by: Marcu, Ana-Maria, et al.
Published: (2023)
Similar Items
-
Risk-Aware Human-in-the-Loop Framework with Adaptive Intrusion Response for Autonomous Vehicles
by: Wasif, Dawood, et al.
Published: (2026) -
Toward Individual Fairness Without Centralized Data: Selective Counterfactual Consistency for Vertical Federated Learning
by: Wasif, Dawood, et al.
Published: (2026) -
DASH: Deception-Augmented Shared Mental Model for a Human-Machine Teaming System
by: Wan, Zelin, et al.
Published: (2025) -
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility
by: Wasif, Dawood, et al.
Published: (2025) -
Advancing Human-Machine Teaming: Concepts, Challenges, and Applications
by: Chen, Dian, et al.
Published: (2025)