Imagen de Portada

Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kong, Lingdong, Xu, Xiang, Ren, Jiawei, Zhang, Wenwei, Pan, Liang, Chen, Kai, Ooi, Wei Tsang, Liu, Ziwei
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Machine Learning Robotics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
por: Kong, Lingdong, et al.
Publicado: (2024)

Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
por: Xie, Shaoyuan, et al.
Publicado: (2024)

LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving
por: Kong, Lingdong, et al.
Publicado: (2025)

Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives
por: Xie, Shaoyuan, et al.
Publicado: (2025)

OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies
por: Kong, Lingdong, et al.
Publicado: (2024)

4D Contrastive Superflows are Dense 3D Representation Learners
por: Xu, Xiang, et al.
Publicado: (2024)

Enhanced Spatiotemporal Consistency for Image-to-LiDAR Data Pretraining
por: Xu, Xiang, et al.
Publicado: (2025)

Perspective-Invariant 3D Object Detection
por: Liang, Ao, et al.
Publicado: (2025)

LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes
por: Xu, Xiang, et al.
Publicado: (2025)

Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras
por: Kong, Lingdong, et al.
Publicado: (2025)

DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic Scenes
por: Bian, Hengwei, et al.
Publicado: (2024)

Is Your LiDAR Placement Optimized for 3D Scene Understanding?
por: Li, Ye, et al.
Publicado: (2024)

EventFly: Event Camera Perception from Ground to the Sky
por: Kong, Lingdong, et al.
Publicado: (2025)

Not All Points Are Equal: Uncertainty-Aware 4D LiDAR Scene Synthesis
por: Xu, Xiang, et al.
Publicado: (2026)

Learning to Generate 4D LiDAR Sequences
por: Liang, Ao, et al.
Publicado: (2025)

LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences
por: Liang, Ao, et al.
Publicado: (2025)

FlexEvent: Towards Flexible Event-Frame Object Detection at Varying Operational Frequencies
por: Lu, Dongyue, et al.
Publicado: (2024)

U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences
por: Xu, Xiang, et al.
Publicado: (2025)

Forging Spatial Intelligence: A Roadmap of Multi-Modal Data Pre-Training for Autonomous Systems
por: Wang, Song, et al.
Publicado: (2025)

3EED: Ground Everything Everywhere in 3D
por: Li, Rong, et al.
Publicado: (2025)

123D: Unifying Multi-Modal Autonomous Driving Data at Scale
por: Dauner, Daniel, et al.
Publicado: (2026)

CoopScenes: Multi-Scene Infrastructure and Vehicle Data for Advancing Collective Perception in Autonomous Driving
por: Vosshans, Marcel, et al.
Publicado: (2024)

EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving
por: Wang, Yuping, et al.
Publicado: (2023)

UniScene: Multi-Camera Unified Pre-training via 3D Scene Reconstruction for Autonomous Driving
por: Min, Chen, et al.
Publicado: (2023)

Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future
por: Hu, Tianshuai, et al.
Publicado: (2025)

MOSU: Autonomous Long-range Robot Navigation with Multi-modal Scene Understanding
por: Liang, Jing, et al.
Publicado: (2025)

Is Your Driving World Model an All-Around Player?
por: Kong, Lingdong, et al.
Publicado: (2026)

Visual Grounding from Event Cameras
por: Kong, Lingdong, et al.
Publicado: (2025)

Multi-Space Alignments Towards Universal LiDAR Segmentation
por: Liu, Youquan, et al.
Publicado: (2024)

3D and 4D World Modeling: A Survey
por: Kong, Lingdong, et al.
Publicado: (2025)

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
por: Xu, Xiang, et al.
Publicado: (2023)

Zero-Shot 3D Visual Grounding from Vision-Language Models
por: Li, Rong, et al.
Publicado: (2025)

SeeGround: See and Ground for Zero-Shot Open-Vocabulary 3D Visual Grounding
por: Li, Rong, et al.
Publicado: (2024)

DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving
por: Han, Wencheng, et al.
Publicado: (2024)

Multi-Modal 3D Scene Graph Updater for Shared and Dynamic Environments
por: Olivastri, Emilio, et al.
Publicado: (2024)

Monocular Semantic Scene Completion via Masked Recurrent Networks
por: Wang, Xuzhi, et al.
Publicado: (2025)

Prompting Multi-Modal Tokens to Enhance End-to-End Autonomous Driving Imitation Learning with LLMs
por: Duan, Yiqun, et al.
Publicado: (2024)

Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving
por: Azam, Shoaib, et al.
Publicado: (2022)

A Multi-Modality Evaluation of the Reality Gap in Autonomous Driving Systems
por: Lambertenghi, Stefano Carlo, et al.
Publicado: (2025)

VLM-Auto: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes
por: Guo, Ziang, et al.
Publicado: (2024)