Cover Image

Towards foundational LiDAR world models with efficient latent flow matching

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Tianran, Zhao, Shengwen, Rhinehart, Nicholas
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OccSim: Multi-kilometer Simulation with Long-horizon Occupancy World Models
by: Liu, Tianran, et al.
Published: (2026)

AutoWorld: Scaling Multi-Agent Traffic Simulation with Self-Supervised World Models
by: Pourkeshavatz, Mozhgan, et al.
Published: (2026)

Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library
by: Cai, Xinyu, et al.
Published: (2022)

La La LiDAR: Large-Scale Layout Generation from LiDAR Data
by: Liu, Youquan, et al.
Published: (2025)

SN-LiDAR: Semantic Neural Fields for Novel Space-time View LiDAR Synthesis
by: Chen, Yi, et al.
Published: (2025)

Towards Generalized Range-View LiDAR Segmentation in Adverse Weather
by: Yang, Longyu, et al.
Published: (2025)

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

LiDAR-based 4D Occupancy Completion and Forecasting
by: Liu, Xinhao, et al.
Published: (2023)

LiDAR-EVS: Enhance Extrapolated View Synthesis for 3D Gaussian Splatting with Pseudo-LiDAR Supervision
by: Huang, Yiming, et al.
Published: (2026)

CLAIM: Camera-LiDAR Alignment with Intensity and Monodepth
by: Zhang, Zhuo, et al.
Published: (2025)

Fast LiDAR Data Generation with Rectified Flows
by: Nakashima, Kazuto, et al.
Published: (2024)

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

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

Label-Efficient LiDAR Panoptic Segmentation
by: Çanakçı, Ahmet Selim, et al.
Published: (2025)

Physically-Based Simulation of Automotive LiDAR
by: Dudzik, L., et al.
Published: (2025)

Towards Robust LiDAR Localization: Deep Learning-based Uncertainty Estimation
by: Dolatabadi, Minoo, et al.
Published: (2025)

LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving
by: Mohapatra, Sambit, et al.
Published: (2023)

MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR
by: Gan, Yiqian, et al.
Published: (2023)

OmniLiDAR: A Unified Diffusion Framework for Multi-Domain 3D LiDAR Generation
by: Liu, Youquan, et al.
Published: (2026)

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

CurbNet: Curb Detection Framework Based on LiDAR Point Cloud Segmentation
by: Zhao, Guoyang, et al.
Published: (2024)

Neural Surface Reconstruction and Rendering for LiDAR-Visual Systems
by: Liu, Jianheng, et al.
Published: (2024)

Efficient Active Training for Deep LiDAR Odometry
by: Zhou, Beibei, et al.
Published: (2025)

LiDAR-RT: Gaussian-based Ray Tracing for Dynamic LiDAR Re-simulation
by: Zhou, Chenxu, et al.
Published: (2024)

LidarDM: Generative LiDAR Simulation in a Generated World
by: Zyrianov, Vlas, et al.
Published: (2024)

Towards Realistic Scene Generation with LiDAR Diffusion Models
by: Ran, Haoxi, et al.
Published: (2024)

LiRaFusion: Deep Adaptive LiDAR-Radar Fusion for 3D Object Detection
by: Song, Jingyu, et al.
Published: (2024)

CaLiV: LiDAR-to-Vehicle Calibration of Arbitrary Sensor Setups
by: Tahiraj, Ilir, et al.
Published: (2025)

MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection
by: Yang, Yuxue, et al.
Published: (2024)

BikeScenes: Online LiDAR Semantic Segmentation for Bicycles
by: Goren, Denniz, et al.
Published: (2025)

Splat-LOAM: Gaussian Splatting LiDAR Odometry and Mapping
by: Giacomini, Emanuele, et al.
Published: (2025)

LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing
by: Cellina, Marcello, et al.
Published: (2025)

Neural Error Covariance Estimation for Precise LiDAR Localization
by: Dolatabadi, Minoo, et al.
Published: (2025)

Fast and Robust Normal Estimation for Sparse LiDAR Scans
by: Bogoslavskyi, Igor, et al.
Published: (2024)

Off-Road LiDAR Intensity Based Semantic Segmentation
by: Viswanath, Kasi, et al.
Published: (2024)

Fast LiDAR Upsampling using Conditional Diffusion Models
by: Helgesen, Sander Elias Magnussen, et al.
Published: (2024)

LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models
by: Nakashima, Kazuto, et al.
Published: (2023)

An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models
by: Sun, Jiahao, et al.
Published: (2024)

LiCROcc: Teach Radar for Accurate Semantic Occupancy Prediction using LiDAR and Camera
by: Ma, Yukai, et al.
Published: (2024)

Detecting the Anomalies in LiDAR Pointcloud
by: Zhang, Chiyu, et al.
Published: (2023)