mlsanityData to 7 Oct 2026

Brno Urban Dataset -- The New Data for Self-Driving Agents and Mapping Tasks

arXiv 1909.06897 ↗First posted 15 Sep 2019cs.RO cs.CVcited by 19

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Abstract (arXiv)

Autonomous driving is a dynamically growing field of research, where quality and amount of experimental data is critical. Although several rich datasets are available these days, the demands of researchers and technical possibilities are evolving. Through this paper, we bring a new dataset recorded in Brno, Czech Republic. It offers data from four WUXGA cameras, two 3D LiDARs, inertial measurement unit, infrared camera and especially differential RTK GNSS receiver with centimetre accuracy which, to the best knowledge of the authors, is not available from any other public dataset so far. In addition, all the data are precisely timestamped with sub-millisecond precision to allow wider range of applications. At the time of publishing of this paper, recordings of more than 350 km of rides in varying environment are shared at: https: //github.com/RoboticsBUT/Brno-Urban-Dataset.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Sep 2019.

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Citing papers per year: 2021: 1; 2022: 3; 2023: 5; 2024: 7; 2025: 2; 2026: 1.

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  1. 2022Multi-modal Sensor Fusion for Auto Driving Perception: A Surveycited by 73
  2. 2024A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlookcited by 65
  3. 2022READ: Large-Scale Neural Scene Rendering for Autonomous Drivingcited by 50
  4. 2024Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunitiescited by 24
  5. 2021M2DGR: A Multi-sensor and Multi-scenario SLAM Dataset for Ground Robotscited by 23
  6. 2023Open-sourced Data Ecosystem in Autonomous Driving: the Present and Futurecited by 22
  7. 2024GGS: Generalizable Gaussian Splatting for Lane Switching in Autonomous Drivingcited by 17
  8. 2024Dataset and Benchmark: Novel Sensors for Autonomous Vehicle Perceptioncited by 14
  9. 2023InfraParis: A multi-modal and multi-task autonomous driving datasetcited by 12
  10. 2024CityGuessr: City-Level Video Geo-Localization on a Global Scalecited by 10
  11. 2025Learning-based 3D Reconstruction in Autonomous Driving: A Comprehensive Surveycited by 9
  12. 2025R-LiViT: A LiDAR-Visual-Thermal Dataset Enabling Vulnerable Road User Focused Roadside Perceptioncited by 9
7 more
  1. 2022Semantic Visual Simultaneous Localization and Mapping: A Surveycited by 7
  2. 2023Camera-Radar Perception for Autonomous Vehicles and ADAS: Concepts, Datasets and Metricscited by 4
  3. 2023A Survey on Datasets for Decision-making of Autonomous Vehiclecited by 2
  4. 2023Nighttime Thermal Infrared Image Colorization with Feedback-based Object Appearance Learningcited by 2
  5. 2024DIDLM: A SLAM Dataset for Difficult Scenarios Featuring Infrared, Depth Cameras, LIDAR, 4D Radar, and Others under Adverse Weather, Low Light Conditions, and Rough Roadscited by 1
  6. 2026GPA-VGGT:Adapting VGGT to Large Scale Localization by Self-Supervised Learning with Geometry and Physics Aware Losscited by 1
  7. 2024Data-driven Camera and Lidar Simulation Models for Autonomous Driving: A Review from Generative Models to Volume Rendererscited by 0