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 84 篇，第 1 / 2 页

1. CVPR 2023ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation
2. CVPR 2023AnchorFormer: Point Cloud Completion From Discriminative Nodes
3. CVPR 2023Attention-Based Point Cloud Edge Sampling
4. CVPR 2023BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks
5. CVPR 2023Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection
6. CVPR 2023Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis
7. CVPR 2023Building Rearticulable Models for Arbitrary 3D Objects From 4D Point Clouds
8. CVPR 2023Collaboration Helps Camera Overtake LiDAR in 3D Detection
9. CVPR 2023CP3: Channel Pruning Plug-In for Point-Based Networks
10. CVPR 2023Curricular Object Manipulation in LiDAR-Based Object Detection
11. CVPR 2023CXTrack: Improving 3D Point Cloud Tracking With Contextual Information
12. CVPR 2023E2PN: Efficient SE(3)-Equivariant Point Network
13. CVPR 2023Efficient Hierarchical Entropy Model for Learned Point Cloud Compression
14. CVPR 2023FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
15. CVPR 2023Frequency-Modulated Point Cloud Rendering With Easy Editing
16. CVPR 2023GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds
17. CVPR 2023Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent With Learned Distance Functions
18. CVPR 2023GraVoS: Voxel Selection for 3D Point-Cloud Detection
19. CVPR 2023Hyperspherical Embedding for Point Cloud Completion
20. CVPR 2023HypLiLoc: Towards Effective LiDAR Pose Regression With Hyperbolic Fusion
21. CVPR 2023Implicit Surface Contrastive Clustering for LiDAR Point Clouds
22. CVPR 2023Instant Domain Augmentation for LiDAR Semantic Segmentation
23. CVPR 2023IterativePFN: True Iterative Point Cloud Filtering
24. CVPR 2023LaserMix for Semi-Supervised LiDAR Semantic Segmentation
25. CVPR 2023Learning To Measure the Point Cloud Reconstruction Loss in a Representation Space
26. CVPR 2023LiDAR-in-the-Loop Hyperparameter Optimization
27. CVPR 2023LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation
28. CVPR 2023LinK: Linear Kernel for LiDAR-Based 3D Perception
29. CVPR 2023Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection With Single Point Supervision
30. CVPR 2023Meta Architecture for Point Cloud Analysis
31. CVPR 2023MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences
32. CVPR 2023MSF: Motion-Guided Sequential Fusion for Efficient 3D Object Detection From Point Cloud Sequences
33. CVPR 2023MSMDFusion: Fusing LiDAR and Camera at Multiple Scales With Multi-Depth Seeds for 3D Object Detection
34. CVPR 2023MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training
35. CVPR 2023NerVE: Neural Volumetric Edges for Parametric Curve Extraction From Point Cloud
36. CVPR 2023Neural Intrinsic Embedding for Non-Rigid Point Cloud Matching
37. CVPR 2023NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds
38. CVPR 2023OcTr: Octree-Based Transformer for 3D Object Detection
39. CVPR 2023PEAL: Prior-Embedded Explicit Attention Learning for Low-Overlap Point Cloud Registration
40. CVPR 2023Perception-Oriented Single Image Super-Resolution Using Optimal Objective Estimation
41. CVPR 2023PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds
42. CVPR 2023Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting
43. CVPR 2023Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields
44. CVPR 2023PointCert: Point Cloud Classification With Deterministic Certified Robustness Guarantees
45. CVPR 2023PointClustering: Unsupervised Point Cloud Pre-Training Using Transformation Invariance in Clustering
46. CVPR 2023PointConvFormer: Revenge of the Point-Based Convolution
47. CVPR 2023Pointersect: Neural Rendering With Cloud-Ray Intersection
48. CVPR 2023PointListNet: Deep Learning on 3D Point Lists
49. CVPR 2023PointVector: A Vector Representation in Point Cloud Analysis
50. CVPR 2023Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once

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。