Copertina

DriveVGGT: Calibration-Constrained Visual Geometry Transformers for Multi-Camera Autonomous Driving

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jia, Xiaosong, Liu, Yanhao, Hong, Yu, Xia, Renqiu, You, Junqi, Sun, Bin, Hao, Zhihui, Yan, Junchi
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
di: Jia, Xiaosong, et al.
Pubblicazione: (2025)

Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model
di: You, Junqi, et al.
Pubblicazione: (2024)

FlatFusion: Delving into Details of Sparse Transformer-based Camera-LiDAR Fusion for Autonomous Driving
di: Zhu, Yutao, et al.
Pubblicazione: (2024)

LLM4Drive: A Survey of Large Language Models for Autonomous Driving
di: Yang, Zhenjie, et al.
Pubblicazione: (2023)

Can Users Specify Driving Speed? Bench2Drive-Speed: Benchmark and Baselines for Desired-Speed Conditioned Autonomous Driving
di: Shao, Yuqian, et al.
Pubblicazione: (2026)

Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
di: Jia, Xiaosong, et al.
Pubblicazione: (2024)

Think2Drive: Efficient Reinforcement Learning by Thinking in Latent World Model for Quasi-Realistic Autonomous Driving (in CARLA-v2)
di: Li, Qifeng, et al.
Pubblicazione: (2024)

VGGT-MPR: VGGT-Enhanced Multimodal Place Recognition in Autonomous Driving Environments
di: Xu, Jingyi, et al.
Pubblicazione: (2026)

Bench2Drive-VL: Benchmarks for Closed-Loop Autonomous Driving with Vision-Language Models
di: Jia, Xiaosong, et al.
Pubblicazione: (2026)

Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)
di: Yang, Zhenjie, et al.
Pubblicazione: (2025)

ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving
di: Lu, Han, et al.
Pubblicazione: (2024)

DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving
di: Yang, Zhenjie, et al.
Pubblicazione: (2025)

Visual Implicit Geometry Transformer for Autonomous Driving
di: Shirokov, Arsenii, et al.
Pubblicazione: (2026)

AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving
di: Jia, Xiaosong, et al.
Pubblicazione: (2024)

VGGT-World: Transforming VGGT into an Autoregressive Geometry World Model
di: Sun, Xiangyu, et al.
Pubblicazione: (2026)

VGGT: Visual Geometry Grounded Transformer
di: Wang, Jianyuan, et al.
Pubblicazione: (2025)

Spatial Retrieval Augmented Autonomous Driving
di: Jia, Xiaosong, et al.
Pubblicazione: (2025)

FastVGGT: Training-Free Acceleration of Visual Geometry Transformer
di: Shen, You, et al.
Pubblicazione: (2025)

Bench2Drive-Robust: Benchmarking Closed-Loop Autonomous Driving under Deployment Perturbations
di: Zhang, Zhiyuan, et al.
Pubblicazione: (2026)

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

StereoVGGT: A Training-Free Visual Geometry Transformer for Stereo Vision
di: Chen, Ziyang, et al.
Pubblicazione: (2026)

HD-VGGT: High-Resolution Visual Geometry Transformer
di: Chen, Tianrun, et al.
Pubblicazione: (2026)

OmniVGGT: Omni-Modality Driven Visual Geometry Grounded Transformer
di: Peng, Haosong, et al.
Pubblicazione: (2025)

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation
di: Zhang, Bo, et al.
Pubblicazione: (2023)

DVGT: Driving Visual Geometry Transformer
di: Zuo, Sicheng, et al.
Pubblicazione: (2025)

DriveCamSim: Generalizable Camera Simulation via Explicit Camera Modeling for Autonomous Driving
di: Sun, Wenchao, et al.
Pubblicazione: (2025)

InfiniteVGGT: Visual Geometry Grounded Transformer for Endless Streams
di: Yuan, Shuai, et al.
Pubblicazione: (2026)

Reloc-VGGT: Visual Re-localization with Geometry Grounded Transformer
di: Deng, Tianchen, et al.
Pubblicazione: (2025)

4D-CAAL: 4D Radar-Camera Calibration and Auto-Labeling for Autonomous Driving
di: Yao, Shanliang, et al.
Pubblicazione: (2026)

Uni-World VLA: Interleaved World Modeling and Planning for Autonomous Driving
di: Liu, Qiqi, et al.
Pubblicazione: (2026)

Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving
di: Ivanovic, Boris, et al.
Pubblicazione: (2025)

SGDrive: Scene-to-Goal Hierarchical World Cognition for Autonomous Driving
di: Li, Jingyu, et al.
Pubblicazione: (2026)

Vec-QMDP: Vectorized POMDP Planning on CPUs for Real-Time Autonomous Driving
di: Jin, Xuanjin, et al.
Pubblicazione: (2026)

DriveMamba: Task-Centric Scalable State Space Model for Efficient End-to-End Autonomous Driving
di: Su, Haisheng, et al.
Pubblicazione: (2026)

LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
di: Li, Tianyu, et al.
Pubblicazione: (2023)

FLARE: Learning Future-Aware Latent Representations from Vision-Language Models for Autonomous Driving
di: Xie, Chengen, et al.
Pubblicazione: (2026)

Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future
di: Li, Hongyang, et al.
Pubblicazione: (2023)

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

4DLangVGGT: 4D Language-Visual Geometry Grounded Transformer
di: Wu, Xianfeng, et al.
Pubblicazione: (2025)

PaceVGGT: Pre-Alternating-Attention Token Pruning for Visual Geometry Transformers
di: Li, Haotang, et al.
Pubblicazione: (2026)