Cirrus: A Long-range Bi-pattern LiDAR Dataset
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Abstract (arXiv)
In this paper, we introduce Cirrus, a new long-range bi-pattern LiDAR public dataset for autonomous driving tasks such as 3D object detection, critical to highway driving and timely decision making. Our platform is equipped with a high-resolution video camera and a pair of LiDAR sensors with a 250-meter effective range, which is significantly longer than existing public datasets. We record paired point clouds simultaneously using both Gaussian and uniform scanning patterns. Point density varies significantly across such a long range, and different scanning patterns further diversify object representation in LiDAR. In Cirrus, eight categories of objects are exhaustively annotated in the LiDAR point clouds for the entire effective range. To illustrate the kind of studies supported by this new dataset, we introduce LiDAR model adaptation across different ranges, scanning patterns, and sensor devices. Promising results show the great potential of this new dataset to the robotics and computer vision communities.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Dec 2020.
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Citing papers per year: 2021: 1; 2022: 5; 2023: 1; 2024: 2; 2025: 2.
11 papers.
- 2021PandaSet: Advanced Sensor Suite Dataset for Autonomous Drivingcited by 186
- 20223D Object Detection for Autonomous Driving: A Comprehensive Surveycited by 132
- 2022Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipecited by 122
- 2022Multi-modal Sensor Fusion for Auto Driving Perception: A Surveycited by 73
- 2022Point Density-Aware Voxels for LiDAR 3D Object Detectioncited by 70
- 2024A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlookcited by 65
- 2022Semantic Visual Simultaneous Localization and Mapping: A Surveycited by 7
- 2025Forging Spatial Intelligence: A Roadmap of Multi-Modal Data Pre-Training for Autonomous Systemscited by 4
- 2023Semantic Segmentation on 3D Point Clouds with High Density Variationscited by 1
- 2025PFSD: A Multi-Modal Pedestrian-Focus Scene Dataset for Rich Tasks in Semi-Structured Environmentscited by 1
- 2024Improving Image Data Leakage Detection in Automotive Softwarecited by 0
- 2025Forging Spatial Intelligence: A Roadmap of Multi-Modal Data Pre-Training for Autonomous Systems30 Dec 2025
- 2025PFSD: A Multi-Modal Pedestrian-Focus Scene Dataset for Rich Tasks in Semi-Structured Environments21 Feb 2025
- 2024Improving Image Data Leakage Detection in Automotive Software29 Oct 2024
- 2024A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook2 Jan 2024
- 2023Semantic Segmentation on 3D Point Clouds with High Density Variations4 Jul 2023
- 2022Semantic Visual Simultaneous Localization and Mapping: A Survey14 Sep 2022
- 2022Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe12 Sep 2022
- 20223D Object Detection for Autonomous Driving: A Comprehensive Survey19 Jun 2022
- 2022Point Density-Aware Voxels for LiDAR 3D Object Detection10 Mar 2022
- 2022Multi-modal Sensor Fusion for Auto Driving Perception: A Survey6 Feb 2022
- 2021PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving23 Dec 2021