Cover Image

DINO Pre-training for Vision-based End-to-end Autonomous Driving

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Juneja, Shubham, Daniušis, Povilas, Marcinkevičius, Virginijus
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VisionPAD: A Vision-Centric Pre-training Paradigm for Autonomous Driving
by: Zhang, Haiming, et al.
Published: (2024)

End-to-end Autonomous Driving: Challenges and Frontiers
by: Chen, Li, et al.
Published: (2023)

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

TransDiffuser: Diverse Trajectory Generation with Decorrelated Multi-modal Representation for End-to-end Autonomous Driving
by: Jiang, Xuefeng, et al.
Published: (2025)

Data Scaling Laws for End-to-End Autonomous Driving
by: Naumann, Alexander, et al.
Published: (2025)

CLAP: Contrastive Latent-space Prompt Optimization for End-to-end Autonomous Driving
by: Zhu, Ruiyang, et al.
Published: (2026)

OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving
by: Xing, Shuo, et al.
Published: (2024)

See Less, Drive Better: Generalizable End-to-End Autonomous Driving via Foundation Models Stochastic Patch Selection
by: Mallak, Amir, et al.
Published: (2026)

Interpretable Decision-Making for End-to-End Autonomous Driving
by: Mirzaie, Mona, et al.
Published: (2025)

GaussianAD: Gaussian-Centric End-to-End Autonomous Driving
by: Zheng, Wenzhao, et al.
Published: (2024)

Centaur: Robust End-to-End Autonomous Driving with Test-Time Training
by: Sima, Chonghao, et al.
Published: (2025)

GPD-1: Generative Pre-training for Driving
by: Xie, Zixun, et al.
Published: (2024)

EMMA: End-to-End Multimodal Model for Autonomous Driving
by: Hwang, Jyh-Jing, et al.
Published: (2024)

PRIX: Learning to Plan from Raw Pixels for End-to-End Autonomous Driving
by: Wozniak, Maciej K., et al.
Published: (2025)

AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving
by: Xing, Shuo, et al.
Published: (2024)

Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach
by: Janny, Steeven, et al.
Published: (2025)

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

Hyperspectral Unmixing of Agricultural Images taken from UAV Using Adapted U-Net Architecture
by: Paura, Vytautas, et al.
Published: (2024)

Addressing the Waypoint-Action Gap in End-to-End Autonomous Driving via Vehicle Motion Models
by: Rodríguez-Vidal, Jorge Daniel, et al.
Published: (2026)

What Matters to Enhance Traffic Rule Compliance of Imitation Learning for End-to-End Autonomous Driving
by: Zhou, Hongkuan, et al.
Published: (2023)

METDrive: Multi-modal End-to-end Autonomous Driving with Temporal Guidance
by: Guo, Ziang, et al.
Published: (2024)

PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving
by: Chen, Zhili, et al.
Published: (2023)

ZTRS: Zero-Imitation End-to-end Autonomous Driving with Trajectory Scoring
by: Li, Zhenxin, et al.
Published: (2025)

TrajDiff: End-to-end Autonomous Driving without Perception Annotation
by: Gui, Xingtai, et al.
Published: (2025)

ReasonDrive: Efficient Visual Question Answering for Autonomous Vehicles with Reasoning-Enhanced Small Vision-Language Models
by: Chahe, Amirhosein, et al.
Published: (2025)

Panoptic Perception for Autonomous Driving: A Survey
by: Li, Yunge, et al.
Published: (2024)

Hybrid-Prediction Integrated Planning for Autonomous Driving
by: Liu, Haochen, et al.
Published: (2024)

A Survey for Foundation Models in Autonomous Driving
by: Gao, Haoxiang, et al.
Published: (2024)

Dynamic Adversarial Attacks on Autonomous Driving Systems
by: Chahe, Amirhosein, et al.
Published: (2023)

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

VDT-Auto: End-to-end Autonomous Driving with VLM-Guided Diffusion Transformers
by: Guo, Ziang, et al.
Published: (2025)

Poutine: Vision-Language-Trajectory Pre-Training and Reinforcement Learning Post-Training Enable Robust End-to-End Autonomous Driving
by: Rowe, Luke, et al.
Published: (2025)

LiDAR-based End-to-end Temporal Perception for Vehicle-Infrastructure Cooperation
by: Yang, Zhenwei, et al.
Published: (2024)

Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers
by: Wang, Lirui, et al.
Published: (2024)

Hidden Biases of End-to-End Driving Datasets
by: Zimmerlin, Julian, et al.
Published: (2024)

CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous Driving
by: Delavari, Elahe, et al.
Published: (2025)

Multi-Objective Reinforcement Learning for Adaptable Personalized Autonomous Driving
by: Surmann, Hendrik, et al.
Published: (2025)

Advancing Autonomous Driving: DepthSense with Radar and Spatial Attention
by: Hussain, Muhamamd Ishfaq, et al.
Published: (2021)

Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving
by: Jiang, Bo, et al.
Published: (2024)

ACT-Bench: Towards Action Controllable World Models for Autonomous Driving
by: Arai, Hidehisa, et al.
Published: (2024)