4D-ROLLS: 4D Radar Occupancy Learning via LiDAR Supervision
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Ruihan, Wu, Xiaoyi, Chen, Xijun, Hu, Liang, Lou, Yunjiang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LiDAR-based 4D Occupancy Completion and Forecasting
by: Liu, Xinhao, et al.
Published: (2023)
by: Liu, Xinhao, et al.
Published: (2023)
Learning to Generate 4D LiDAR Sequences
by: Liang, Ao, et al.
Published: (2025)
by: Liang, Ao, et al.
Published: (2025)
LiCROcc: Teach Radar for Accurate Semantic Occupancy Prediction using LiDAR and Camera
by: Ma, Yukai, et al.
Published: (2024)
by: Ma, Yukai, et al.
Published: (2024)
TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic Segmentation
by: Zhou, Junbao, et al.
Published: (2024)
by: Zhou, Junbao, et al.
Published: (2024)
U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences
by: Xu, Xiang, et al.
Published: (2025)
by: Xu, Xiang, et al.
Published: (2025)
4DRaL: Bridging 4D Radar with LiDAR for Place Recognition using Knowledge Distillation
by: Huang, Ningyuan, et al.
Published: (2026)
by: Huang, Ningyuan, et al.
Published: (2026)
LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences
by: Liang, Ao, et al.
Published: (2025)
by: Liang, Ao, et al.
Published: (2025)
SAM4D: Segment Anything in Camera and LiDAR Streams
by: Xu, Jianyun, et al.
Published: (2025)
by: Xu, Jianyun, et al.
Published: (2025)
Self-Supervised JEPA-based World Models for LiDAR Occupancy Completion and Forecasting
by: Zhu, Haoran, et al.
Published: (2026)
by: Zhu, Haoran, et al.
Published: (2026)
Not All Points Are Equal: Uncertainty-Aware 4D LiDAR Scene Synthesis
by: Xu, Xiang, et al.
Published: (2026)
by: Xu, Xiang, et al.
Published: (2026)
LiDAR-EVS: Enhance Extrapolated View Synthesis for 3D Gaussian Splatting with Pseudo-LiDAR Supervision
by: Huang, Yiming, et al.
Published: (2026)
by: Huang, Yiming, et al.
Published: (2026)
OmniLiDAR: A Unified Diffusion Framework for Multi-Domain 3D LiDAR Generation
by: Liu, Youquan, et al.
Published: (2026)
by: Liu, Youquan, et al.
Published: (2026)
LiRaFusion: Deep Adaptive LiDAR-Radar Fusion for 3D Object Detection
by: Song, Jingyu, et al.
Published: (2024)
by: Song, Jingyu, et al.
Published: (2024)
La La LiDAR: Large-Scale Layout Generation from LiDAR Data
by: Liu, Youquan, et al.
Published: (2025)
by: Liu, Youquan, et al.
Published: (2025)
Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds
by: Abdelsamad, Mohamed, et al.
Published: (2025)
by: Abdelsamad, Mohamed, et al.
Published: (2025)
Is Your LiDAR Placement Optimized for 3D Scene Understanding?
by: Li, Ye, et al.
Published: (2024)
by: Li, Ye, et al.
Published: (2024)
Robust 3D Object Detection from LiDAR-Radar Point Clouds via Cross-Modal Feature Augmentation
by: Deng, Jianning, et al.
Published: (2023)
by: Deng, Jianning, et al.
Published: (2023)
Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library
by: Cai, Xinyu, et al.
Published: (2022)
by: Cai, Xinyu, et al.
Published: (2022)
3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation
by: Zhong, Xingguang, et al.
Published: (2024)
by: Zhong, Xingguang, et al.
Published: (2024)
SN-LiDAR: Semantic Neural Fields for Novel Space-time View LiDAR Synthesis
by: Chen, Yi, et al.
Published: (2025)
by: Chen, Yi, et al.
Published: (2025)
LEAR: Learning Edge-Aware Representations for Event-to-LiDAR Localization
by: Chen, Kuangyi, et al.
Published: (2026)
by: Chen, Kuangyi, et al.
Published: (2026)
CORENet: Cross-Modal 4D Radar Denoising Network with LiDAR Supervision for Autonomous Driving
by: Liu, Fuyang, et al.
Published: (2025)
by: Liu, Fuyang, et al.
Published: (2025)
Loop Closure via Maximal Cliques in 3D LiDAR-Based SLAM
by: Laserna, Javier, et al.
Published: (2026)
by: Laserna, Javier, et al.
Published: (2026)
RaLF: Flow-based Global and Metric Radar Localization in LiDAR Maps
by: Nayak, Abhijeet, et al.
Published: (2023)
by: Nayak, Abhijeet, et al.
Published: (2023)
MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection
by: Yang, Yuxue, et al.
Published: (2024)
by: Yang, Yuxue, et al.
Published: (2024)
Learning to Identify Out-of-Distribution Objects for 3D LiDAR Anomaly Segmentation
by: Mosco, Simone, et al.
Published: (2026)
by: Mosco, Simone, et al.
Published: (2026)
Better Monocular 3D Detectors with LiDAR from the Past
by: You, Yurong, et al.
Published: (2024)
by: You, Yurong, et al.
Published: (2024)
Semantics-Guided Moving Object Segmentation with 3D LiDAR
by: Gu, Shuo, et al.
Published: (2022)
by: Gu, Shuo, et al.
Published: (2022)
Robust LiDAR-Camera Calibration with 2D Gaussian Splatting
by: Zhou, Shuyi, et al.
Published: (2025)
by: Zhou, Shuyi, et al.
Published: (2025)
BEVDilation: LiDAR-Centric Multi-Modal Fusion for 3D Object Detection
by: Zhang, Guowen, et al.
Published: (2025)
by: Zhang, Guowen, et al.
Published: (2025)
End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization
by: Wang, Guangming, et al.
Published: (2023)
by: Wang, Guangming, et al.
Published: (2023)
LiHi-GS: LiDAR-Supervised Gaussian Splatting for Highway Driving Scene Reconstruction
by: Kung, Pou-Chun, et al.
Published: (2024)
by: Kung, Pou-Chun, et al.
Published: (2024)
Multi-modal NeRF Self-Supervision for LiDAR Semantic Segmentation
by: Timoneda, Xavier, et al.
Published: (2024)
by: Timoneda, Xavier, et al.
Published: (2024)
Transforming Omnidirectional RGB-LiDAR data into 3D Gaussian Splatting
by: Bae, Semin, et al.
Published: (2026)
by: Bae, Semin, et al.
Published: (2026)
End-to-End LiDAR optimization for 3D point cloud registration
by: Katyan, Siddhant, et al.
Published: (2026)
by: Katyan, Siddhant, et al.
Published: (2026)
KDD-LOAM: Jointly Learned Keypoint Detector and Descriptors Assisted LiDAR Odometry and Mapping
by: Huang, Renlang, et al.
Published: (2023)
by: Huang, Renlang, et al.
Published: (2023)
Multi-Space Alignments Towards Universal LiDAR Segmentation
by: Liu, Youquan, et al.
Published: (2024)
by: Liu, Youquan, et al.
Published: (2024)
SALT: A Flexible Semi-Automatic Labeling Tool for General LiDAR Point Clouds with Cross-Scene Adaptability and 4D Consistency
by: Wang, Yanbo, et al.
Published: (2025)
by: Wang, Yanbo, et al.
Published: (2025)
RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar
by: Ding, Fangqiang, et al.
Published: (2024)
by: Ding, Fangqiang, et al.
Published: (2024)
LRFusionPR: A Polar BEV-Based LiDAR-Radar Fusion Network for Place Recognition
by: Qi, Zhangshuo, et al.
Published: (2025)
by: Qi, Zhangshuo, et al.
Published: (2025)
Similar Items
-
LiDAR-based 4D Occupancy Completion and Forecasting
by: Liu, Xinhao, et al.
Published: (2023) -
Learning to Generate 4D LiDAR Sequences
by: Liang, Ao, et al.
Published: (2025) -
LiCROcc: Teach Radar for Accurate Semantic Occupancy Prediction using LiDAR and Camera
by: Ma, Yukai, et al.
Published: (2024) -
TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic Segmentation
by: Zhou, Junbao, et al.
Published: (2024) -
U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences
by: Xu, Xiang, et al.
Published: (2025)