激光雷达感知论文趋势 2023–2026

主要结论

• 激光雷达感知论文从 2023 年的 84 篇增长到 2026 年的 100 篇，三年间扩大到约 1.2 倍。
• CVPR 是发激光雷达感知论文最多的会议，2023–2026 年共 242 篇，占四个会议总量的 67%。
• 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 17 篇。
• 在「自动驾驶」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的运动规划是 2.4 倍，激光雷达感知是 1.2 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026BiLi: Bridging the Last Mile in LiDAR Localization
• ICML 2026PACE: Post-Causal Entropy Modeling for Learned LiDAR Point Cloud Compression
• ICLR 2026GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception
• CVPR 2026Adaptive 3D Perception for Small Aerial Targets Under Sparse Sampling
• NeurIPS 2025Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff
• ICML 2025Towards Learning to Complete Anything in Lidar
• ICLR 2025Point Cluster: A Compact Message Unit for Communication-Efficient Collaborative Perception
• CVPR 2025DiskVPS: Vanishing Point Detector via Hough Transform in a Disk Region
• NeurIPS 2024Inference on the Change Point under a High Dimensional Covariance Shift
• ICML 2024How Learning by Reconstruction Produces Uninformative Features For Perception
• ICLR 2024CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception
• CVPR 2024GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds
• NeurIPS 2023Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow
• ICML 2023Robust Perception through Equivariance
• ICLR 2023LiftedCL: Lifting Contrastive Learning for Human-Centric Perception
• CVPR 2023ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation
• NeurIPS 2026CMI-Trans: Cross Modal Inconsistency-aware Transport for HSI-LiDAR Classification
• ICML 2026OBJVanish: Prompt-Driven Generation of Physically Realizable 3D LiDAR-Invisible Objects
• ICLR 2026Point-Focused Attention Meets Context-Scan State Space: Robust Biological Visual Perception for Point Cloud Representation
• CVPR 2026Bezier Degradation Modeling for LiDAR-based Human Motion Capture

全部激光雷达感知论文

共 62 篇，第 1 / 2 页

1. CVPR 20243D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation
2. CVPR 2024An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains
3. CVPR 2024Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception
4. CVPR 2024Communication-Efficient Collaborative Perception via Information Filling with Codebook
5. CVPR 2024Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis
6. CVPR 2024Coupled Laplacian Eigenmaps for Locally-Aware 3D Rigid Point Cloud Matching
7. CVPR 2024CurveCloudNet: Processing Point Clouds with 1D Structure
8. CVPR 2024Differentiable Point-based Inverse Rendering
9. CVPR 2024DiffLoc: Diffusion Model for Outdoor LiDAR Localization
10. CVPR 2024Dynamic Cues-Assisted Transformer for Robust Point Cloud Registration
11. CVPR 2024Efficient Solution of Point-Line Absolute Pose
12. CVPR 2024Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension
13. CVPR 2024FSC: Few-point Shape Completion
14. CVPR 2024GAFusion: Adaptive Fusing LiDAR and Camera with Multiple Guidance for 3D Object Detection
15. CVPR 2024GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds
16. CVPR 2024ICP-Flow: LiDAR Scene Flow Estimation with ICP
17. CVPR 2024Improving Distant 3D Object Detection Using 2D Box Supervision
18. CVPR 2024Inlier Confidence Calibration for Point Cloud Registration
19. CVPR 2024Instantaneous Perception of Moving Objects in 3D
20. CVPR 2024KPConvX: Modernizing Kernel Point Convolution with Kernel Attention
21. CVPR 2024LiDAR-based Person Re-identification
22. CVPR 2024LiDAR-Net: A Real-scanned 3D Point Cloud Dataset for Indoor Scenes
23. CVPR 2024LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
24. CVPR 2024LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes
25. CVPR 2024LiSA: LiDAR Localization with Semantic Awareness
26. CVPR 2024Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis
27. CVPR 2024LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels
28. CVPR 2024MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception
29. CVPR 2024Memory-based Adapters for Online 3D Scene Perception
30. CVPR 2024Multi-Space Alignments Towards Universal LiDAR Segmentation
31. CVPR 2024Multiview Aerial Visual RECognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?
32. CVPR 2024OneFormer3D: One Transformer for Unified Point Cloud Segmentation
33. CVPR 2024PAPR in Motion: Seamless Point-level 3D Scene Interpolation
34. CVPR 2024PBWR: Parametric-Building-Wireframe Reconstruction from Aerial LiDAR Point Clouds
35. CVPR 2024Perception-Oriented Video Frame Interpolation via Asymmetric Blending
36. CVPR 2024PerceptionGPT: Effectively Fusing Visual Perception into LLM
37. CVPR 2024PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors
38. CVPR 2024PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar
39. CVPR 2024Point Cloud Pre-training with Diffusion Models
40. CVPR 2024Point Transformer V3: Simpler Faster Stronger
41. CVPR 2024PointInfinity: Resolution-Invariant Point Diffusion Models
42. CVPR 2024PointOBB: Learning Oriented Object Detection via Single Point Supervision
43. CVPR 2024Polarization Wavefront Lidar: Learning Large Scene Reconstruction from Polarized Wavefronts
44. CVPR 2024PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection
45. CVPR 2024RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features
46. CVPR 2024Resolution Limit of Single-Photon LiDAR
47. CVPR 2024Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion
48. CVPR 2024SeMoLi: What Moves Together Belongs Together
49. CVPR 2024Single-View Scene Point Cloud Human Grasp Generation
50. CVPR 2024SIRA: Scalable Inter-frame Relation and Association for Radar Perception

常见问题

2023–2026 年四大会议一共有多少篇激光雷达感知论文？

共 360 篇，按年份分别是 2023 年 84 篇、2024 年 90 篇、2025 年 86 篇、2026 年 100 篇。

NeurIPS 2026 有多少篇激光雷达感知论文？

NeurIPS 2026 有 25 篇激光雷达感知论文，上一届是 21 篇。

ICLR 2026 有多少篇激光雷达感知论文？

ICLR 2026 有 5 篇激光雷达感知论文，上一届是 5 篇。

ICML 2026 有多少篇激光雷达感知论文？

ICML 2026 有 10 篇激光雷达感知论文，上一届是 7 篇。

CVPR 2026 有多少篇激光雷达感知论文？

CVPR 2026 有 60 篇激光雷达感知论文，上一届是 53 篇。

哪个会议的激光雷达感知论文最多？

CVPR，2023–2026 年共 242 篇。