SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Peiru, Zhao, Yun, Gong, Zhan, Zhu, Hong, Wu, Shaohua |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SimpleVSF: VLM-Scoring Fusion for Trajectory Prediction of End-to-End Autonomous Driving
by: Zheng, Peiru, et al.
Published: (2025)
by: Zheng, Peiru, et al.
Published: (2025)
SimpleBEV: Improved LiDAR-Camera Fusion Architecture for 3D Object Detection
by: Zhao, Yun, et al.
Published: (2024)
by: Zhao, Yun, et al.
Published: (2024)
GenAD: Generative End-to-End Autonomous Driving
by: Zheng, Wenzhao, et al.
Published: (2024)
by: Zheng, Wenzhao, et al.
Published: (2024)
WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model
by: Zhang, Songyan, et al.
Published: (2024)
by: Zhang, Songyan, et al.
Published: (2024)
VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision
by: Xu, Yi, et al.
Published: (2024)
by: Xu, Yi, et al.
Published: (2024)
GaussianAD: Gaussian-Centric End-to-End Autonomous Driving
by: Zheng, Wenzhao, et al.
Published: (2024)
by: Zheng, Wenzhao, et al.
Published: (2024)
GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving
by: Zhang, Yunpeng, et al.
Published: (2024)
by: Zhang, Yunpeng, et al.
Published: (2024)
SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving
by: Zhang, Diankun, et al.
Published: (2024)
by: Zhang, Diankun, et al.
Published: (2024)
Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving
by: Ding, Kairui, et al.
Published: (2024)
by: Ding, Kairui, et al.
Published: (2024)
ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
by: Zheng, Zhiyu, et al.
Published: (2025)
by: Zheng, Zhiyu, et al.
Published: (2025)
LMAD: Integrated End-to-End Vision-Language Model for Explainable Autonomous Driving
by: Song, Nan, et al.
Published: (2025)
by: Song, Nan, et al.
Published: (2025)
UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty
by: Yang, Pengxuan, et al.
Published: (2025)
by: Yang, Pengxuan, et al.
Published: (2025)
E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving
by: Tang, Yihong, et al.
Published: (2025)
by: Tang, Yihong, et al.
Published: (2025)
SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving
by: Chen, Xuesong, et al.
Published: (2025)
by: Chen, Xuesong, et al.
Published: (2025)
AD-R1: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving with Impartial World Models
by: Yan, Tianyi, et al.
Published: (2025)
by: Yan, Tianyi, et al.
Published: (2025)
AD$^2$: Analysis and Detection of Adversarial Threats in Visual Perception for End-to-End Autonomous Driving Systems
by: Sahu, Ishan, et al.
Published: (2026)
by: Sahu, Ishan, 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)
End-to-End Navigation with Vision Language Models: Transforming Spatial Reasoning into Question-Answering
by: Goetting, Dylan, et al.
Published: (2024)
by: Goetting, Dylan, et al.
Published: (2024)
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving
by: Lu, Han, et al.
Published: (2024)
by: Lu, Han, et al.
Published: (2024)
DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving
by: Yang, Zhenjie, et al.
Published: (2025)
by: Yang, Zhenjie, et al.
Published: (2025)
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)
SUPER-AD: Semantic Uncertainty-aware Planning for End-to-End Robust Autonomous Driving
by: Ryu, Wonjeong, et al.
Published: (2025)
by: Ryu, Wonjeong, et al.
Published: (2025)
AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
by: Zhou, Zewei, et al.
Published: (2025)
by: Zhou, Zewei, et al.
Published: (2025)
OpenREAD: Reinforced Open-Ended Reasoning for End-to-End Autonomous Driving with LLM-as-Critic
by: Zhang, Songyan, et al.
Published: (2025)
by: Zhang, Songyan, et al.
Published: (2025)
SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
by: Sun, Wenchao, et al.
Published: (2024)
by: Sun, Wenchao, et al.
Published: (2024)
SpaRC-AD: A Baseline for Radar-Camera Fusion in End-to-End Autonomous Driving
by: Wolters, Philipp, et al.
Published: (2025)
by: Wolters, Philipp, et al.
Published: (2025)
ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation
by: Fu, Haoyu, et al.
Published: (2025)
by: Fu, Haoyu, et al.
Published: (2025)
Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving
by: Jiang, Hao, et al.
Published: (2025)
by: Jiang, Hao, et al.
Published: (2025)
AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture-of-Transformers for End-to-End Autonomous Driving
by: Huang, Wenhui, et al.
Published: (2026)
by: Huang, Wenhui, et al.
Published: (2026)
World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model
by: Zheng, Yupeng, et al.
Published: (2025)
by: Zheng, Yupeng, et al.
Published: (2025)
Efficient and Explainable End-to-End Autonomous Driving via Masked Vision-Language-Action Diffusion
by: Zhang, Jiaru, et al.
Published: (2026)
by: Zhang, Jiaru, et al.
Published: (2026)
Exploring the Causality of End-to-End Autonomous Driving
by: Li, Jiankun, et al.
Published: (2024)
by: Li, Jiankun, et al.
Published: (2024)
InsightDrive: Insight Scene Representation for End-to-End Autonomous Driving
by: Song, Ruiqi, et al.
Published: (2025)
by: Song, Ruiqi, et al.
Published: (2025)
RS2AD: End-to-End Autonomous Driving Data Generation from Roadside Sensor Observations
by: Xing, Ruidan, et al.
Published: (2025)
by: Xing, Ruidan, et al.
Published: (2025)
CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving
by: Ma, Enhui, et al.
Published: (2025)
by: Ma, Enhui, et al.
Published: (2025)
Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation
by: Ma, Enhui, et al.
Published: (2024)
by: Ma, Enhui, et al.
Published: (2024)
Generative Scenario Rollouts for End-to-End Autonomous Driving
by: Yasarla, Rajeev, et al.
Published: (2026)
by: Yasarla, Rajeev, et al.
Published: (2026)
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)
FROST-Drive: Scalable and Efficient End-to-End Driving with a Frozen Vision Encoder
by: Dong, Zeyu, et al.
Published: (2026)
by: Dong, Zeyu, et al.
Published: (2026)
DriveLM: Driving with Graph Visual Question Answering
by: Sima, Chonghao, et al.
Published: (2023)
by: Sima, Chonghao, et al.
Published: (2023)
Similar Items
-
SimpleVSF: VLM-Scoring Fusion for Trajectory Prediction of End-to-End Autonomous Driving
by: Zheng, Peiru, et al.
Published: (2025) -
SimpleBEV: Improved LiDAR-Camera Fusion Architecture for 3D Object Detection
by: Zhao, Yun, et al.
Published: (2024) -
GenAD: Generative End-to-End Autonomous Driving
by: Zheng, Wenzhao, et al.
Published: (2024) -
WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model
by: Zhang, Songyan, et al.
Published: (2024) -
VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision
by: Xu, Yi, et al.
Published: (2024)