:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Li, Zixuan
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2406.16817
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model
by: Xu, Zhenhua, et al.
Published: (2023)

DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT
by: Hu, Xiaotao, et al.
Published: (2024)

ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving
by: Sheng, Zihao, et al.
Published: (2026)

GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Models
by: Liao, Haicheng, et al.
Published: (2023)

SparseDriveV2: Scoring is All You Need for End-to-End Autonomous Driving
by: Sun, Wenchao, et al.
Published: (2026)

MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control
by: Gao, Ruiyuan, et al.
Published: (2024)

Harnessing GPT-4V(ision) for Insurance: A Preliminary Exploration
by: Lin, Chenwei, et al.
Published: (2024)

Image and Data Mining in Reticular Chemistry Using GPT-4V
by: Zheng, Zhiling, et al.
Published: (2023)

DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving
by: Lu, Hao, et al.
Published: (2024)

GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection
by: Zhang, Jiangning, et al.
Published: (2023)

ImagiDrive: A Unified Imagination-and-Planning Framework for Autonomous Driving
by: Li, Jingyu, et al.
Published: (2025)

Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies
by: Li, Lincan, et al.
Published: (2024)

DiffusionDriveV2: Reinforcement Learning-Constrained Truncated Diffusion Modeling in End-to-End Autonomous Driving
by: Zou, Jialv, et al.
Published: (2025)

Unified End-to-End V2X Cooperative Autonomous Driving
by: Li, Zhiwei, et al.
Published: (2024)

DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving
by: Min, Chen, et al.
Published: (2024)

MiniCPM-V: A GPT-4V Level MLLM on Your Phone
by: Yao, Yuan, et al.
Published: (2024)

Open 3D World in Autonomous Driving
by: Cheng, Xinlong, et al.
Published: (2024)

World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model
by: Zheng, Yupeng, et al.
Published: (2025)

PADriver: Towards Personalized Autonomous Driving
by: Kou, Genghua, et al.
Published: (2025)

ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving
by: Li, Rongqing, et al.
Published: (2024)

DeMo++: Motion Decoupling for Autonomous Driving
by: Zhang, Bozhou, et al.
Published: (2025)

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving
by: Li, Peizheng, et al.
Published: (2025)

DriveFuture: Future-Aware Latent World Models for Autonomous Driving
by: Hong, Yufeng, et al.
Published: (2026)

V3LMA: Visual 3D-enhanced Language Model for Autonomous Driving
by: Lübberstedt, Jannik, et al.
Published: (2025)

D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving
by: Richard, Kevin, et al.
Published: (2026)

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
by: Tian, Xiaoyu, et al.
Published: (2024)

Language Prompt for Autonomous Driving
by: Wu, Dongming, et al.
Published: (2023)

RadarMP: Motion Perception for 4D mmWave Radar in Autonomous Driving
by: Cheng, Ruiqi, et al.
Published: (2025)

DriveCombo: Benchmarking Compositional Traffic Rule Reasoning in Autonomous Driving
by: Ma, Enhui, et al.
Published: (2026)

DriveLiDAR4D: Sequential and Controllable LiDAR Scene Generation for Autonomous Driving
by: Cai, Kaiwen, et al.
Published: (2025)

Post-interactive Multimodal Trajectory Prediction for Autonomous Driving
by: Huang, Ziyi, et al.
Published: (2025)

Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving
by: Nie, Ming, et al.
Published: (2023)

DeepInteraction++: Multi-Modality Interaction for Autonomous Driving
by: Yang, Zeyu, et al.
Published: (2024)

DynamicVGGT: Learning Dynamic Point Maps for 4D Scene Reconstruction in Autonomous Driving
by: He, Zhuolin, et al.
Published: (2026)

Exploring Visual Culture Awareness in GPT-4V: A Comprehensive Probing
by: Cao, Yong, et al.
Published: (2024)

Applications of Large Scale Foundation Models for Autonomous Driving
by: Huang, Yu, et al.
Published: (2023)

Driving with InternVL: Oustanding Champion in the Track on Driving with Language of the Autonomous Grand Challenge at CVPR 2024
by: Li, Jiahan, et al.
Published: (2024)

OmniScene: Attention-Augmented Multimodal 4D Scene Understanding for Autonomous Driving
by: Liu, Pei, et al.
Published: (2025)

Neural Radiance Field in Autonomous Driving: A Survey
by: He, Lei, et al.
Published: (2024)

DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers
by: Chen, Yuntao, et al.
Published: (2024)