Copertina

SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Qingwen, Yang, Yi, Li, Peizheng, Andersson, Olov, Jensfelt, Patric
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

TeFlow: Enabling Multi-frame Supervision for Self-Supervised Feed-forward Scene Flow Estimation
di: Zhang, Qingwen, et al.
Pubblicazione: (2026)

DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method
di: Zhang, Qingwen, et al.
Pubblicazione: (2025)

DeFlow: Decoder of Scene Flow Network in Autonomous Driving
di: Zhang, Qingwen, et al.
Pubblicazione: (2024)

HiMo: High-Speed Objects Motion Compensation in Point Clouds
di: Zhang, Qingwen, et al.
Pubblicazione: (2025)

SSF: Sparse Long-Range Scene Flow for Autonomous Driving
di: Khoche, Ajinkya, et al.
Pubblicazione: (2025)

SynFlow: Scaling Up LiDAR Scene Flow Estimation with Synthetic Data
di: Zhang, Qingwen, et al.
Pubblicazione: (2026)

DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance
di: Khoche, Ajinkya, et al.
Pubblicazione: (2025)

DUFOMap: Efficient Dynamic Awareness Mapping
di: Duberg, Daniel, et al.
Pubblicazione: (2024)

Beyond the Frontier: Predicting Unseen Walls from Occupancy Grids by Learning from Floor Plans
di: Ericson, Ludvig, et al.
Pubblicazione: (2024)

BeautyMap: Binary-Encoded Adaptable Ground Matrix for Dynamic Points Removal in Global Maps
di: Jia, Mingkai, et al.
Pubblicazione: (2024)

Neural Graph Map: Dense Mapping with Efficient Loop Closure Integration
di: Bruns, Leonard, et al.
Pubblicazione: (2024)

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

Towards Long-Range 3D Object Detection for Autonomous Vehicles
di: Khoche, Ajinkya, et al.
Pubblicazione: (2023)

SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments
di: Chen, Yinqi, et al.
Pubblicazione: (2025)

DynFlowDrive: Flow-Based Dynamic World Modeling for Autonomous Driving
di: Liu, Xiaolu, et al.
Pubblicazione: (2026)

Self-Supervised Monocular 4D Scene Reconstruction for Egocentric Videos
di: Yuan, Chengbo, et al.
Pubblicazione: (2024)

Learning Direct Control Policies with Flow Matching for Autonomous Driving
di: Ceresini, Marcello, et al.
Pubblicazione: (2026)

D$^3$FlowSLAM: Self-Supervised Dynamic SLAM with Flow Motion Decomposition and DINO Guidance
di: Yu, Xingyuan, et al.
Pubblicazione: (2022)

VISC: mmWave Radar Scene Flow Estimation using Pervasive Visual-Inertial Supervision
di: Liu, Kezhong, et al.
Pubblicazione: (2025)

UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gaps
di: Wozniak, Maciej K, et al.
Pubblicazione: (2024)

SSF-PAN: Semantic Scene Flow-Based Perception for Autonomous Navigation in Traffic Scenarios
di: Chen, Yinqi, et al.
Pubblicazione: (2025)

GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving
di: Ljungbergh, William, et al.
Pubblicazione: (2025)

GEMINUS: Dual-aware Global and Scene-Adaptive Mixture-of-Experts for End-to-End Autonomous Driving
di: Wan, Chi, et al.
Pubblicazione: (2025)

Multi-Body Neural Scene Flow
di: Vidanapathirana, Kavisha, et al.
Pubblicazione: (2023)

S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving
di: Wozniak, Maciej K., et al.
Pubblicazione: (2024)

A Survey of World Models for Autonomous Driving
di: Feng, Tuo, et al.
Pubblicazione: (2025)

nuScenes Revisited: Progress and Challenges in Autonomous Driving
di: Fong, Whye Kit, et al.
Pubblicazione: (2025)

WAM-Flow: Parallel Coarse-to-Fine Motion Planning via Discrete Flow Matching for Autonomous Driving
di: Xu, Yifang, et al.
Pubblicazione: (2025)

Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving
di: Cao, Junyi, et al.
Pubblicazione: (2024)

SEPT: Standard-Definition Map Enhanced Scene Perception and Topology Reasoning for Autonomous Driving
di: Pei, Muleilan, et al.
Pubblicazione: (2025)

HawkDrive: A Transformer-driven Visual Perception System for Autonomous Driving in Night Scene
di: Guo, Ziang, et al.
Pubblicazione: (2024)

Neural Rendering based Urban Scene Reconstruction for Autonomous Driving
di: Shen, Shihao, et al.
Pubblicazione: (2024)

ReSeFlow: Rectifying SE(3)-Equivariant Policy Learning Flows
di: Wang, Zhitao, et al.
Pubblicazione: (2025)

UniFlow: Zero-Shot LiDAR Scene Flow for Autonomous Vehicles
di: Li, Siyi, et al.
Pubblicazione: (2025)

FlowCalib: LiDAR-to-Vehicle Miscalibration Detection using Scene Flows
di: Tahiraj, Ilir, et al.
Pubblicazione: (2026)

DragTraffic: Interactive and Controllable Traffic Scene Generation for Autonomous Driving
di: Wang, Sheng, et al.
Pubblicazione: (2024)

ArgoTweak: Towards Self-Updating HD Maps through Structured Priors
di: Wild, Lena, et al.
Pubblicazione: (2025)

LIORNet: Self-Supervised LiDAR Snow Removal Framework for Autonomous Driving under Adverse Weather Conditions
di: Park, Ji-il, et al.
Pubblicazione: (2026)

ReconDrive: Fast Feed-Forward 4D Gaussian Splatting for Autonomous Driving Scene Reconstruction
di: Yu, Haibao, et al.
Pubblicazione: (2026)

Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving
di: Lange, Bernard, et al.
Pubblicazione: (2024)