{"total":132,"rows":[{"id":"2506.04218","title":"Pseudo-Simulation for Autonomous Driving","created":"2025-06-04","cited_by_count":150,"area":"driving"},{"id":"2402.13255","title":"How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey","created":"2024-02-20","cited_by_count":72,"area":null},{"id":"2403.12550","title":"RGBD GS-ICP SLAM","created":"2024-03-19","cited_by_count":65,"area":null},{"id":"2401.09101","title":"PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency","created":"2024-01-17","cited_by_count":42,"area":null},{"id":"2303.10709","title":"NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping","created":"2023-03-19","cited_by_count":41,"area":null},{"id":"2403.13470","title":"Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion","created":"2024-03-20","cited_by_count":40,"area":"wm"},{"id":"2402.17351","title":"ICP-Flow: LiDAR Scene Flow Estimation with ICP","created":"2024-02-27","cited_by_count":35,"area":null},{"id":"2512.03422","title":"What Is The Best 3D Scene Representation for Robotics? From Geometric to Foundation Models","created":"2025-12-03","cited_by_count":29,"area":null},{"id":"2403.07071","title":"LISO: Lidar-only Self-Supervised 3D Object Detection","created":"2024-03-11","cited_by_count":22,"area":null},{"id":"2503.12552","title":"MTGS: Multi-Traversal Gaussian Splatting","created":"2025-03-16","cited_by_count":19,"area":null},{"id":"2304.02150","title":"Re-Evaluating LiDAR Scene Flow for Autonomous Driving","created":"2023-04-04","cited_by_count":17,"area":null},{"id":"2404.11322","title":"VBR: A Vision Benchmark in Rome","created":"2024-04-17","cited_by_count":16,"area":null},{"id":"2409.15615","title":"KISS-Matcher: Fast and Robust Point Cloud Registration Revisited","created":"2024-09-23","cited_by_count":16,"area":null},{"id":"2409.18092","title":"DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models","created":"2024-09-26","cited_by_count":16,"area":"wm"},{"id":"2212.06331","title":"DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization","created":"2022-12-13","cited_by_count":14,"area":null},{"id":"2311.15803","title":"SOAC: Spatio-Temporal Overlap-Aware Multi-Sensor Calibration using Neural Radiance Fields","created":"2023-11-27","cited_by_count":13,"area":null},{"id":"2505.18992","title":"VPGS-SLAM: Voxel-based Progressive 3D Gaussian SLAM in Large-Scale Scenes","created":"2025-05-25","cited_by_count":13,"area":null},{"id":"2403.11577","title":"3DGS-Calib: 3D Gaussian Splatting for Multimodal SpatioTemporal Calibration","created":"2024-03-18","cited_by_count":12,"area":null},{"id":"2403.01449","title":"DUFOMap: Efficient Dynamic Awareness Mapping","created":"2024-03-03","cited_by_count":11,"area":null},{"id":"2403.20159","title":"HGS-Mapping: Online Dense Mapping Using Hybrid Gaussian Representation in Urban Scenes","created":"2024-03-29","cited_by_count":11,"area":null},{"id":"2502.05752","title":"PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map","created":"2025-02-09","cited_by_count":10,"area":null},{"id":"2503.04718","title":"Floxels: Fast Unsupervised Voxel Based Scene Flow Estimation","created":"2025-03-06","cited_by_count":10,"area":null},{"id":"2505.02148","title":"Spotting the Unexpected (STU): A 3D LiDAR Dataset for Anomaly Segmentation in Autonomous Driving","created":"2025-05-04","cited_by_count":10,"area":null},{"id":"2404.12798","title":"A Point-Based Approach to Efficient LiDAR Multi-Task Perception","created":"2024-04-19","cited_by_count":9,"area":null},{"id":"2603.12721","title":"CMHANet: A Cross-Modal Hybrid Attention Network for Point Cloud Registration","created":"2026-03-13","cited_by_count":9,"area":null},{"id":"2405.03388","title":"3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation","created":"2024-05-06","cited_by_count":8,"area":null},{"id":"2503.07940","title":"BUFFER-X: Towards Zero-Shot Point Cloud Registration in Diverse Scenes","created":"2025-03-11","cited_by_count":8,"area":null},{"id":"2510.16500","title":"Advancing Off-Road Autonomous Driving: The Large-Scale ORAD-3D Dataset and Comprehensive Benchmarks","created":"2025-10-18","cited_by_count":8,"area":"driving"},{"id":"2510.22973","title":"Scaling Up Occupancy-centric Driving Scene Generation: Dataset and Method","created":"2025-10-27","cited_by_count":8,"area":null},{"id":"2302.07184","title":"Point Cloud Registration for LiDAR and Photogrammetric Data: a Critical Synthesis and Performance Analysis on Classic and Deep Learning Algorithms","created":"2023-02-14","cited_by_count":7,"area":null},{"id":"2406.03461","title":"Polarization Wavefront Lidar: Learning Large Scene Reconstruction from Polarized Wavefronts","created":"2024-06-05","cited_by_count":7,"area":null},{"id":"2407.08260","title":"SALSA: Swift Adaptive Lightweight Self-Attention for Enhanced LiDAR Place Recognition","created":"2024-07-11","cited_by_count":7,"area":null},{"id":"2404.04026","title":"MM-Gaussian: 3D Gaussian-based Multi-modal Fusion for Localization and Reconstruction in Unbounded Scenes","created":"2024-04-05","cited_by_count":6,"area":null},{"id":"2411.18335","title":"Helvipad: A Real-World Dataset for Omnidirectional Stereo Depth Estimation","created":"2024-11-27","cited_by_count":6,"area":null},{"id":"2309.13842","title":"Traj-LO: In Defense of LiDAR-Only Odometry Using an Effective Continuous-Time Trajectory","created":"2023-09-25","cited_by_count":5,"area":null},{"id":"2601.05738","title":"FeatureSLAM: Feature-enriched 3D gaussian splatting SLAM in real time","created":"2026-01-09","cited_by_count":5,"area":null},{"id":"2603.12719","title":"IGASA: Integrated Geometry-Aware and Skip-Attention Modules for Enhanced Point Cloud Registration","created":"2026-03-13","cited_by_count":5,"area":null},{"id":"2301.04783","title":"Predictive World Models from Real-World Partial Observations","created":"2023-01-12","cited_by_count":4,"area":"wm"},{"id":"2309.15394","title":"KDD-LOAM: Jointly Learned Keypoint Detector and Descriptors Assisted LiDAR Odometry and Mapping","created":"2023-09-27","cited_by_count":4,"area":null},{"id":"2403.09871","title":"ThermoHands: A Benchmark for 3D Hand Pose Estimation from Egocentric Thermal Images","created":"2024-03-14","cited_by_count":4,"area":null},{"id":"2405.05828","title":"MAD-ICP: It Is All About Matching Data -- Robust and Informed LiDAR Odometry","created":"2024-05-09","cited_by_count":4,"area":null},{"id":"2405.10175","title":"Filling Missing Values Matters for Range Image-Based Point Cloud Segmentation","created":"2024-05-16","cited_by_count":4,"area":null},{"id":"2504.15776","title":"Refining Ground Truth Poses in Autonomous Driving Datasets via Neural Rendering","created":"2025-04-22","cited_by_count":4,"area":null},{"id":"2508.18506","title":"DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance","created":"2025-08-25","cited_by_count":4,"area":null},{"id":"2511.05449","title":"How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?","created":"2025-11-07","cited_by_count":4,"area":null},{"id":"2603.23607","title":"Reasoning models do not yet follow their reasoning in autonomous driving: The KITScenes LongTail Dataset","created":"2026-03-24","cited_by_count":4,"area":"lr"},{"id":"2304.13242","title":"Learning to Predict Navigational Patterns from Partial Observations","created":"2023-04-26","cited_by_count":3,"area":null},{"id":"2310.07237","title":"SAGE-ICP: Semantic Information-Assisted ICP","created":"2023-10-11","cited_by_count":3,"area":null},{"id":"2404.08363","title":"Let-It-Flow: Simultaneous Optimization of 3D Flow and Object Clustering","created":"2024-04-12","cited_by_count":3,"area":null},{"id":"2406.13896","title":"SMORE: Simultaneous Map and Object REconstruction","created":"2024-06-19","cited_by_count":3,"area":null},{"id":"2502.02144","title":"DOC-Depth: A novel approach for dense depth ground truth generation","created":"2025-02-04","cited_by_count":3,"area":null},{"id":"2507.20480","title":"Automated 3D-GS Registration and Fusion via Skeleton Alignment and Gaussian-Adaptive Features","created":"2025-07-28","cited_by_count":3,"area":null},{"id":"2605.08084","title":"123D: Unifying Multi-Modal Autonomous Driving Data at Scale","created":"2026-05-08","cited_by_count":3,"area":"driving"},{"id":"2308.01424","title":"LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels","created":"2023-08-02","cited_by_count":2,"area":null},{"id":"2311.01823","title":"Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving","created":"2023-11-03","cited_by_count":2,"area":null},{"id":"2312.00068","title":"GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds","created":"2023-11-29","cited_by_count":2,"area":null},{"id":"2402.09189","title":"Traj-LIO: A Resilient Multi-LiDAR Multi-IMU State Estimator Through Sparse Gaussian Process","created":"2024-02-14","cited_by_count":2,"area":null},{"id":"2404.17215","title":"SLAM for Indoor Mapping of Wide Area Construction Environments","created":"2024-04-26","cited_by_count":2,"area":null},{"id":"2406.03298","title":"L-PR: Exploiting LiDAR Fiducial Marker for Unordered Low Overlap Multiview Point Cloud Registration","created":"2024-06-05","cited_by_count":2,"area":null},{"id":"2410.11031","title":"NAR-*ICP: Neural Execution of Classical ICP-based Pointcloud Registration Algorithms","created":"2024-10-14","cited_by_count":2,"area":null},{"id":"2501.01791","title":"A Minimal Subset Approach for Informed Keyframe Sampling in Large-Scale SLAM","created":"2025-01-03","cited_by_count":2,"area":null},{"id":"2503.07472","title":"A Review on Geometry and Surface Inspection in 3D Concrete Printing","created":"2025-03-10","cited_by_count":2,"area":null},{"id":"2504.04597","title":"Targetless LiDAR-Camera Calibration with Neural Gaussian Splatting","created":"2025-04-06","cited_by_count":2,"area":null},{"id":"2504.21602","title":"Real Time Semantic Segmentation of High Resolution Automotive LiDAR Scans","created":"2025-04-30","cited_by_count":2,"area":null},{"id":"2509.20674","title":"Equi-RO: A 4D mmWave Radar Odometry via Equivariant Networks","created":"2025-09-25","cited_by_count":2,"area":null},{"id":"2602.22920","title":"OSDaR-AR: Enhancing Railway Perception Datasets via Multi-modal Augmented Reality","created":"2026-02-26","cited_by_count":2,"area":null},{"id":"2302.14193","title":"PointFlowHop: Green and Interpretable Scene Flow Estimation from Consecutive Point Clouds","created":"2023-02-27","cited_by_count":1,"area":null},{"id":"2403.06461","title":"Interactive Test-Time Adaptation with Reliable Spatial-Temporal Voxels for Multi-Modal Segmentation","created":"2024-03-11","cited_by_count":1,"area":null},{"id":"2403.09477","title":"VIRUS-NeRF -- Vision, InfraRed and UltraSonic based Neural Radiance Fields","created":"2024-03-14","cited_by_count":1,"area":null},{"id":"2404.14281","title":"Fast and Robust Normal Estimation for Sparse LiDAR Scans","created":"2024-04-22","cited_by_count":1,"area":null},{"id":"2405.11176","title":"Outlier-Robust Long-Term Robotic Mapping Leveraging Ground Segmentation","created":"2024-05-18","cited_by_count":1,"area":null},{"id":"2406.19461","title":"Efficient and Distributed Large-Scale 3D Map Registration using Tomographic Features","created":"2024-06-27","cited_by_count":1,"area":null},{"id":"2410.01618","title":"SGBA: Semantic Gaussian Mixture Model-Based LiDAR Bundle Adjustment","created":"2024-10-02","cited_by_count":1,"area":null},{"id":"2410.06893","title":"Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation","created":"2024-10-09","cited_by_count":1,"area":null},{"id":"2503.02372","title":"Label-Efficient LiDAR Panoptic Segmentation","created":"2025-03-04","cited_by_count":1,"area":null},{"id":"2504.06479","title":"Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor Graphs","created":"2025-04-08","cited_by_count":1,"area":null},{"id":"2504.10123","title":"M2S-RoAD: Multi-Modal Semantic Segmentation for Road Damage Using Camera and LiDAR Data","created":"2025-04-14","cited_by_count":1,"area":null},{"id":"2505.03300","title":"3D Can Be Explored In 2D: Pseudo-Label Generation for LiDAR Point Clouds Using Sensor-Intensity-Based 2D Semantic Segmentation","created":"2025-05-06","cited_by_count":1,"area":null},{"id":"2505.03692","title":"Matching Distance and Geometric Distribution Aided Learning Multiview Point Cloud Registration","created":"2025-05-06","cited_by_count":1,"area":null},{"id":"2505.22258","title":"LiDAR Based Semantic Perception for Forklifts in Outdoor Environments","created":"2025-05-28","cited_by_count":1,"area":null},{"id":"2508.01312","title":"P3P Made Easy","created":"2025-08-02","cited_by_count":1,"area":null},{"id":"2509.16832","title":"L2M-Reg: Building-level Uncertainty-aware Registration of Outdoor LiDAR Point Clouds and Semantic 3D City Models","created":"2025-09-20","cited_by_count":1,"area":null},{"id":"2510.08512","title":"Have We Scene It All? Scene Graph-Aware Deep Point Cloud Compression","created":"2025-10-09","cited_by_count":1,"area":null},{"id":"2601.02759","title":"Toward Zero-Shot Point Cloud Registration Across Diverse Scales, Scenes, and Sensor Setups","created":"2026-01-06","cited_by_count":1,"area":null},{"id":"2601.05105","title":"UniLiPs: Unified LiDAR Pseudo-Labeling with Geometry-Grounded Dynamic Scene Decomposition","created":"2026-01-08","cited_by_count":1,"area":null},{"id":"2606.10019","title":"Generalized-CVO: Fast and Correspondence-Free Local Point Cloud Registration with Second Order Riemannian Optimization","created":"2026-06-08","cited_by_count":1,"area":null},{"id":"2608.22035","title":"Ludi${}_{\\scriptscriptstyle 0.1}$: An Agentic System for Socially Intelligent Robots","created":"2026-08-22","cited_by_count":1,"area":"agents"},{"id":"2310.04981","title":"Compositional Semantics for Open Vocabulary Spatio-semantic Representations","created":"2023-10-08","cited_by_count":0,"area":"mllm"},{"id":"2312.07337","title":"RMS: Redundancy-Minimizing Point Cloud Sampling for Real-Time Pose Estimation","created":"2023-12-12","cited_by_count":0,"area":null},{"id":"2402.19059","title":"WHU-Synthetic: A Synthetic Perception Dataset for 3-D Multitask Model Research","created":"2024-02-29","cited_by_count":0,"area":null},{"id":"2404.13691","title":"A Complete System for Automated 3D Semantic-Geometric Mapping of Corrosion in Industrial Environments","created":"2024-04-21","cited_by_count":0,"area":null},{"id":"2405.07544","title":"Automatic Odometry-Less OpenDRIVE Generation From Sparse Point Clouds","created":"2024-05-13","cited_by_count":0,"area":null},{"id":"2405.10046","title":"A Preprocessing and Postprocessing Voxel-based Method for LiDAR Semantic Segmentation Improvement in Long Distance","created":"2024-05-16","cited_by_count":0,"area":null},{"id":"2406.12370","title":"UAV-based Intelligent Information Systems on Winter Road Safety for Autonomous Vehicles","created":"2024-06-18","cited_by_count":0,"area":null},{"id":"2409.01038","title":"Robust Vehicle Localization and Tracking in Rain using Street Maps","created":"2024-09-02","cited_by_count":0,"area":null},{"id":"2409.18592","title":"From One to the Power of Many: Invariance to Multi-LiDAR Perception from Single-Sensor Datasets","created":"2024-09-27","cited_by_count":0,"area":null},{"id":"2410.18638","title":"Moving Object Segmentation in Point Cloud Data using Hidden Markov Models","created":"2024-10-24","cited_by_count":0,"area":null},{"id":"2412.15909","title":"CCNDF: Curvature Constrained Neural Distance Fields from 3D LiDAR Sequences","created":"2024-12-20","cited_by_count":0,"area":null},{"id":"2501.04263","title":"KN-LIO: Geometric Kinematics and Neural Field Coupled LiDAR-Inertial Odometry","created":"2025-01-08","cited_by_count":0,"area":null},{"id":"2502.00395","title":"FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud Maps","created":"2025-02-01","cited_by_count":0,"area":null}],"next_cursor":"100"}