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 90 篇，第 2 / 2 页

51. CVPR 2024Sparse Views Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo
52. CVPR 2024Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation
53. CVPR 2024StraightPCF: Straight Point Cloud Filtering
54. CVPR 2024TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation
55. CVPR 2024TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis
56. CVPR 2024Text2Loc: 3D Point Cloud Localization from Natural Language
57. CVPR 2024Towards Robust 3D Object Detection with LiDAR and 4D Radar Fusion in Various Weather Conditions
58. CVPR 2024TULIP: Transformer for Upsampling of LiDAR Point Clouds
59. CVPR 2024TUMTraf V2X Cooperative Perception Dataset
60. CVPR 2024Unsupervised Template-assisted Point Cloud Shape Correspondence Network
61. CVPR 2024Visual Point Cloud Forecasting enables Scalable Autonomous Driving
62. CVPR 2024Weak-to-Strong 3D Object Detection with X-Ray Distillation
63. ICLR 2024CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception
64. ICLR 2024LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
65. ICLR 2024LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
66. ICLR 2024MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection
67. ICLR 2024Pre-training LiDAR-based 3D Object Detectors through Colorization
68. ICML 20243D Geometric Shape Assembly via Efficient Point Cloud Matching
69. ICML 2024How Learning by Reconstruction Produces Uninformative Features For Perception
70. ICML 2024PointMC: Multi-instance Point Cloud Registration based on Maximal Cliques
71. ICML 2024The Perception-Robustness Tradeoff in Deterministic Image Restoration
72. NeurIPS 2024Active Perception for Grasp Detection via Neural Graspness Field
73. NeurIPS 2024AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking
74. NeurIPS 2024Asynchronous Perception Machine for Efficient Test Time Training
75. NeurIPS 2024GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields
76. NeurIPS 2024Inference on the Change Point under a High Dimensional Covariance Shift
77. NeurIPS 2024Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem
78. NeurIPS 2024LION: Linear Group RNN for 3D Object Detection in Point Clouds
79. NeurIPS 2024LiT: Unifying LiDAR "Languages" with LiDAR Translator
80. NeurIPS 2024Nonparametric Regression for 3D Point Cloud Learning
81. NeurIPS 2024One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection
82. NeurIPS 2024Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning
83. NeurIPS 2024Real-time Stereo-based 3D Object Detection for Streaming Perception
84. NeurIPS 2024RETR: Multi-View Radar Detection Transformer for Indoor Perception
85. NeurIPS 2024SE(3)-bi-equivariant Transformers for Point Cloud Assembly
86. NeurIPS 2024Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation
87. NeurIPS 2024TAPTRv2: Attention-based Position Update Improves Tracking Any Point
88. NeurIPS 2024Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection
89. NeurIPS 2024UAV3D: A Large-scale 3D Perception Benchmark for Unmanned Aerial Vehicles
90. NeurIPS 2024Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection

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。