Cover Image

Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ivanovic, Boris, Saltori, Cristiano, You, Yurong, Wang, Yan, Luo, Wenjie, Pavone, Marco
Format:	Preprint
Published:	2025
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

Latent Chain-of-Thought World Modeling for End-to-End Driving
by: Tan, Shuhan, et al.
Published: (2025)

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

Towards Efficient and Effective Multi-Camera Encoding for End-to-End Driving
by: Yang, Jiawei, et al.
Published: (2025)

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

Producing and Leveraging Online Map Uncertainty in Trajectory Prediction
by: Gu, Xunjiang, et al.
Published: (2024)

Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention
by: Gu, Xunjiang, et al.
Published: (2024)

Extrapolated Urban View Synthesis Benchmark
by: Han, Xiangyu, et al.
Published: (2024)

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation Models
by: Lu, Ziqi, et al.
Published: (2024)

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)

RoaD: Rollouts as Demonstrations for Closed-Loop Supervised Fine-Tuning of Autonomous Driving Policies
by: Garcia-Cobo, Guillermo, et al.
Published: (2025)

Distributed NeRF Learning for Collaborative Multi-Robot Perception
by: Zhao, Hongrui, et al.
Published: (2024)

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

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

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

Pseudo-Simulation for Autonomous Driving
by: Cao, Wei, et al.
Published: (2025)

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

LEAD: Minimizing Learner-Expert Asymmetry in End-to-End Driving
by: Nguyen, Long, 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)

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

DINO Pre-training for Vision-based End-to-end Autonomous Driving
by: Juneja, Shubham, et al.
Published: (2024)

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

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

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)

DriveCoT: Integrating Chain-of-Thought Reasoning with End-to-End Driving
by: Wang, Tianqi, et al.
Published: (2024)

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model
by: Yu, Rui, et al.
Published: (2025)

SpaRC-AD: A Baseline for Radar-Camera Fusion in End-to-End Autonomous Driving
by: Wolters, Philipp, et al.
Published: (2025)

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
by: Liao, Bencheng, et al.
Published: (2024)

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

Multi-Camera View Scaling for Data-Efficient Robot Imitation Learning
by: Xie, Yichen, et al.
Published: (2026)

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

Exploring the Causality of End-to-End Autonomous Driving
by: Li, Jiankun, et al.
Published: (2024)

ComDrive: Comfort-Oriented End-to-End Autonomous Driving
by: Wang, Junming, et al.
Published: (2024)

MAPLE: Latent Multi-Agent Play for End-to-End Autonomous Driving
by: Yasarla, Rajeev, et al.
Published: (2026)

Scan, Materialize, Simulate: A Generalizable Framework for Physically Grounded Robot Planning
by: Elhafsi, Amine, et al.
Published: (2025)

ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
by: Li, Yongkang, et al.
Published: (2025)

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

DriveSafer: End-to-End Autonomous Driving with Safety Guidance
by: Sural, Shounak, et al.
Published: (2026)

Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection
by: Salzmann, Tim, et al.
Published: (2024)