% Key papers for LiDAR perception for driving (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2020_nuscenes_16510,
  title = {{nuScenes: A Multimodal Dataset for Autonomous Driving}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_multi_17441,
  title = {{Multi-Modal Fusion Transformer for End-to-End Autonomous Driving}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_dair_18565,
  title = {{DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_lasernet_14382,
  title = {{LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_af_16512,
  title = {{(AF)2-S3Net: Attentive Feature Fusion With Adaptive Feature Selection for Sparse Semantic Segmentation Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_predicting_16058,
  title = {{Predicting Semantic Map Representations From Images Using Pyramid Occupancy Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2023_v2v4real_22494,
  title = {{V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22810},
}

@inproceedings{neurips2021_one_61916,
  title = {{One Million Scenes for Autonomous Driving: ONCE Dataset}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://openreview.net/forum?id=KBbxt3JGn0Y},
}

@inproceedings{cvpr2024_tumtraf_24950,
  title = {{TUMTraf V2X Cooperative Perception Dataset}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29376},
}

@inproceedings{aaai2024_deepaccident_5650,
  title = {{DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28370},
}

@inproceedings{cvpr2024_panoocc_24432,
  title = {{PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31489},
}

@inproceedings{cvpr2020_stinet_16172,
  title = {{STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2023_neural_21684,
  title = {{Neural Map Prior for Autonomous Driving}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22116},
}

@inproceedings{cvpr2022_investigating_19104,
  title = {{Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2025_language_9703,
  title = {{Language Prompt for Autonomous Driving}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32902},
}

@inproceedings{cvpr2022_ithaca365_19113,
  title = {{Ithaca365: Dataset and Driving Perception Under Repeated and Challenging Weather Conditions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_panoptic_19552,
  title = {{Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2024_mcd_24056,
  title = {{MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31550},
}

@inproceedings{cvpr2023_also_20320,
  title = {{ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22035},
}

@inproceedings{cvpr2023_temporal_22320,
  title = {{Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21670},
}

@inproceedings{cvpr2024_collaborative_22993,
  title = {{Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30699},
}

@inproceedings{cvpr2024_multi_24210,
  title = {{Multi-Space Alignments Towards Universal LiDAR Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29586},
}

@inproceedings{aaai2024_swiftpillars_7449,
  title = {{SwiftPillars: High-Efficiency Pillar Encoder for Lidar-Based 3D Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28040},
}

@inproceedings{cvpr2024_uno_25110,
  title = {{UnO: Unsupervised Occupancy Fields for Perception and Forecasting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29388},
}

@inproceedings{aaai2025_m3net_9827,
  title = {{M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32227},
}

@inproceedings{cvpr2025_hyperdimensional_26557,
  title = {{Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34162},
}

@inproceedings{neurips2025_openad_77380,
  title = {{OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=T9UDyN5Tw6},
}

@inproceedings{aaai2025_dsrc_8626,
  title = {{DSRC: Learning Density-Insensitive and Semantic-Aware Collaborative Representation Against Corruptions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33078},
}

@inproceedings{aaai2024_sdac_7213,
  title = {{SDAC: A Multimodal Synthetic Dataset for Anomaly and Corner Case Detection in Autonomous Driving}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27961},
}

@inproceedings{cvpr2024_msu_24083,
  title = {{MSU-4S - The Michigan State University Four Seasons Dataset}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31587},
}

@inproceedings{aaai2025_mapexpert_9906,
  title = {{MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expert}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33616},
}

@inproceedings{cvpr2025_ev_26159,
  title = {{Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event Cameras}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32588},
}

@inproceedings{aaai2025_olidm_10143,
  title = {{OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32987},
}

@inproceedings{aaai2025_sgformer_10605,
  title = {{SGFormer: Semantic-Geometry Fusion Transformer for Multi-modal 3D Panoptic Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33042},
}

@inproceedings{cvpr2025_spotting_27739,
  title = {{Spotting the Unexpected (STU): A 3D LiDAR Dataset for Anomaly Segmentation in Autonomous Driving}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33129},
}