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Simultaneous Localization and Mapping datasets
archive 2025-07-28
21 datasets carry the task tag "Simultaneous Localization and Mapping" (the task itself: Simultaneous Localization and Mapping), ordered by the archive's paper count. Page 1 of 1: 21 shown of 21. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Simultaneous Localization and Mapping datasets 1–21 of 21
TUM RGB-D is an RGB-D dataset.
235 papers · 1 benchmark
Virtual KITTI is a photo-realistic synthetic video dataset designed to learn and evaluate computer vision models for several video understanding tasks: object detection and multi-object tracking, scene-level and instance-level semantic…
133 papers · 0 benchmarks
Virtual KITTI 2 is an updated version of the well-known Virtual KITTI dataset which consists of 5 sequence clones from the KITTI tracking benchmark.
53 papers · 2 benchmarks
InteriorNet is a RGB-D for large scale interior scene understanding and mapping.
30 papers · 0 benchmarks
The Endomapper dataset is the first collection of complete endoscopy sequences acquired during regular medical practice, including slow and careful screening explorations, making secondary use of medical data.
18 papers · 0 benchmarks
The New College Data is a freely available dataset collected from a robot completing several loops outdoors around the New College campus in Oxford.
17 papers · 0 benchmarks
Hilti SLAM Challenge is a dataset for Simultaneous Localization and Mapping (SLAM) algorithms due to sparsity, varying illumination conditions, and dynamic objects.
11 papers · 0 benchmarks
TUM monoVO is a dataset for evaluating the tracking accuracy of monocular Visual Odometry (VO) and SLAM methods.
11 papers · 0 benchmarks
Bonn RGB-D Dynamic is a dataset for RGB-D SLAM, containing highly dynamic sequences.
9 papers · 1 benchmark
S3E is a novel large-scale multimodal dataset captured by a fleet of unmanned ground vehicles along four designed collaborative trajectory paradigms.
4 papers · 0 benchmarks
BASEPROD (The Bardenas Semi-Desert Planetary Rover Dataset)
BASEPROD provides comprehensive rover sensor data collected over a 1.7 km traverse, accompanied by high-resolution 2D and 3D drone maps of the terrain.
2 papers · 0 benchmarks
Estimating camera motion in deformable scenes poses a complex and open research challenge.
2 papers · 1 benchmark
This dataset comprehends the 3D building information model (in IFC and Revit formats), manually elaborated based on the terrestrial laser scanner of the sequence 2 of ConSLAM, and the refined ground truth (GT) poses (in TUM format) of…
2 papers · 0 benchmarks
TorWIC (The Toronto Warehouse Incremental Change Dataset)
TorWIC is the dataset discussed in POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes.
2 papers · 0 benchmarks
ConSLAM (Construction Dataset for SLAM)
ConSLAM is a real-world dataset collected periodically on a construction site to measure the accuracy of mobile scanners' SLAM algorithms.
1 paper · 0 benchmarks
HPointLoc is a dataset designed for exploring capabilities of visual place recognition in indoor environment and loop detection in simultaneous localization and mapping.
1 paper · 0 benchmarks
IN2LAAMA is a set of lidar-inertial datasets collected with a Velodyne VLP-16 lidar and a Xsens MTi-3 IMU.
1 paper · 0 benchmarks
This is the dataset for testing the robustness of various VO/VIO methods, acquired on reak UAV.
1 paper · 0 benchmarks
MAOMaps is a dataset for evaluation of Visual SLAM, RGB-D SLAM and Map Merging algorithms.
1 paper · 0 benchmarks
PolyU-BPCoMa: A Dataset and Benchmark Towards Mobile Colorized Mapping Using a Backpack Multisensorial System
1 paper · 0 benchmarks
This synthetic event dataset is used in Robust e-NeRF to study the collective effect of camera speed profile, contrast threshold variation and refractory period on the quality of NeRF reconstruction from a moving event camera.
1 paper · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.