HERMES: A Holistic End-to-End Risk-Aware Multimodal Embodied System with Vision-Language Models for Long-Tail Autonomous Driving
Fuente:
arXiv
Saved in:
| Main Authors: | Tang, Weizhe, You, Junwei, Liu, Jiaxi, Wang, Zhaoyi, Gan, Rui, Huang, Zilin, Wei, Feng, Ran, Bin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SEAL: Vision-Language Model-Based Safe End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling
by: You, Junwei, et al.
Published: (2025)
by: You, Junwei, et al.
Published: (2025)
V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models
by: You, Junwei, et al.
Published: (2024)
by: You, Junwei, et al.
Published: (2024)
V2X-QA: A Comprehensive Reasoning Dataset and Benchmark for Multimodal Large Language Models in Autonomous Driving Across Ego, Infrastructure, and Cooperative Views
by: You, Junwei, et al.
Published: (2026)
by: You, Junwei, et al.
Published: (2026)
Embodied Cognition Augmented End2End Autonomous Driving
by: Niu, Ling, et al.
Published: (2025)
by: Niu, Ling, et al.
Published: (2025)
Risk-Aware World Model Predictive Control for Generalizable End-to-End Autonomous Driving
by: Sun, Jiangxin, et al.
Published: (2026)
by: Sun, Jiangxin, et al.
Published: (2026)
FocalAD: Local Motion Planning for End-to-End Autonomous Driving
by: Sun, Bin, et al.
Published: (2025)
by: Sun, Bin, et al.
Published: (2025)
Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving
by: Liu, Haochen, et al.
Published: (2025)
by: Liu, Haochen, et al.
Published: (2025)
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)
LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving
by: Qiao, Zhijie, et al.
Published: (2025)
by: Qiao, Zhijie, et al.
Published: (2025)
DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
by: Jia, Xiaosong, et al.
Published: (2025)
by: Jia, Xiaosong, et al.
Published: (2025)
Unveiling the Surprising Efficacy of Navigation Understanding in End-to-End Autonomous Driving
by: Hua, Zhihua, et al.
Published: (2026)
by: Hua, Zhihua, et al.
Published: (2026)
VECTOR-Drive: Tightly Coupled Vision-Language and Trajectory Expert Routing for End-to-End Autonomous Driving
by: Zhao, Rui, et al.
Published: (2026)
by: Zhao, Rui, et al.
Published: (2026)
RiskNet: Interaction-Aware Risk Forecasting for Autonomous Driving in Long-Tail Scenarios
by: Liu, Qichao, et al.
Published: (2025)
by: Liu, Qichao, et al.
Published: (2025)
Risk Map As Middleware: Towards Interpretable Cooperative End-to-end Autonomous Driving for Risk-Aware Planning
by: Lei, Mingyue, et al.
Published: (2025)
by: Lei, Mingyue, et al.
Published: (2025)
EMMA: End-to-End Multimodal Model for Autonomous Driving
by: Hwang, Jyh-Jing, et al.
Published: (2024)
by: Hwang, Jyh-Jing, et al.
Published: (2024)
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)
by: Fang, Shiyu, et al.
Published: (2025)
VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving
by: Huang, Zilin, et al.
Published: (2024)
by: Huang, Zilin, et al.
Published: (2024)
StyleDrive: Towards Driving-Style Aware Benchmarking of End-To-End Autonomous Driving
by: Hao, Ruiyang, et al.
Published: (2025)
by: Hao, Ruiyang, et al.
Published: (2025)
ARTEMIS: Autoregressive End-to-End Trajectory Planning with Mixture of Experts for Autonomous Driving
by: Feng, Renju, et al.
Published: (2025)
by: Feng, Renju, et al.
Published: (2025)
AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving
by: Wu, Yanhao, et al.
Published: (2026)
by: Wu, Yanhao, et al.
Published: (2026)
Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving
by: Jiang, Bo, et al.
Published: (2024)
by: Jiang, Bo, et al.
Published: (2024)
Enhancing End-to-End Autonomous Driving with Risk Semantic Distillaion from VLM
by: Qin, Jack, et al.
Published: (2025)
by: Qin, Jack, et al.
Published: (2025)
Collision Risk Estimation via Loss Prediction in End-to-End Autonomous Driving
by: Xiong, Ziliang, et al.
Published: (2025)
by: Xiong, Ziliang, et al.
Published: (2025)
FlowDrive: Energy Flow Field for End-to-End Autonomous Driving
by: Jiang, Hao, et al.
Published: (2025)
by: Jiang, Hao, et al.
Published: (2025)
Exploring the Causality of End-to-End Autonomous Driving
by: Li, Jiankun, et al.
Published: (2024)
by: Li, Jiankun, et al.
Published: (2024)
DriveSafer: End-to-End Autonomous Driving with Safety Guidance
by: Sural, Shounak, et al.
Published: (2026)
by: Sural, Shounak, et al.
Published: (2026)
ComDrive: Comfort-Oriented End-to-End Autonomous Driving
by: Wang, Junming, et al.
Published: (2024)
by: Wang, Junming, et al.
Published: (2024)
Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving
by: Zheng, Yinan, et al.
Published: (2026)
by: Zheng, Yinan, et al.
Published: (2026)
Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling
by: Moon, Seokha, et al.
Published: (2026)
by: Moon, Seokha, et al.
Published: (2026)
GMF-Drive: Gated Mamba Fusion with Spatial-Aware BEV Representation for End-to-End Autonomous Driving
by: Wang, Jian, et al.
Published: (2025)
by: Wang, Jian, et al.
Published: (2025)
OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving
by: Xing, Shuo, et al.
Published: (2024)
by: Xing, Shuo, et al.
Published: (2024)
DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving
by: Huang, Zilin, et al.
Published: (2026)
by: Huang, Zilin, et al.
Published: (2026)
FeaXDrive: Feasibility-aware Trajectory-Centric Diffusion Planning for End-to-End Autonomous Driving
by: Wang, Baoyun, et al.
Published: (2026)
by: Wang, Baoyun, et al.
Published: (2026)
Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving
by: Kou, Wei-Bin, et al.
Published: (2023)
by: Kou, Wei-Bin, et al.
Published: (2023)
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
by: Liao, Bencheng, et al.
Published: (2024)
by: Liao, Bencheng, et al.
Published: (2024)
Drive in Corridors: Enhancing the Safety of End-to-end Autonomous Driving via Corridor Learning and Planning
by: Zhang, Zhiwei, et al.
Published: (2025)
by: Zhang, Zhiwei, et al.
Published: (2025)
Percept-WAM: Perception-Enhanced World-Awareness-Action Model for Robust End-to-End Autonomous Driving
by: Han, Jianhua, et al.
Published: (2025)
by: Han, Jianhua, et al.
Published: (2025)
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)
PIE: Perception and Interaction Enhanced End-to-End Motion Planning for Autonomous Driving
by: Yuan, Chengran, et al.
Published: (2025)
by: Yuan, Chengran, et al.
Published: (2025)
IDOL: Inverse-Dynamics-Guided Future Prediction for End-to-End Autonomous Driving
by: Zhang, Chenghao, et al.
Published: (2026)
by: Zhang, Chenghao, et al.
Published: (2026)
Similar Items
-
SEAL: Vision-Language Model-Based Safe End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling
by: You, Junwei, et al.
Published: (2025) -
V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models
by: You, Junwei, et al.
Published: (2024) -
V2X-QA: A Comprehensive Reasoning Dataset and Benchmark for Multimodal Large Language Models in Autonomous Driving Across Ego, Infrastructure, and Cooperative Views
by: You, Junwei, et al.
Published: (2026) -
Embodied Cognition Augmented End2End Autonomous Driving
by: Niu, Ling, et al.
Published: (2025) -
Risk-Aware World Model Predictive Control for Generalizable End-to-End Autonomous Driving
by: Sun, Jiangxin, et al.
Published: (2026)