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LiDAR datasets
archive 2025-07-28
94 datasets carry the modality tag "LiDAR", ordered by the archive's paper count. Page 2 of 2: 46 shown of 94. 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 39 modality tags shown of 39, by dataset count; the full filter by modality, task and language is on /datasets
LiDAR datasets 49–94 of 94
Our trajectory dataset consists of camera-based images, LiDAR scanned point clouds, and manually annotated trajectories.
2 papers · 1 benchmark
The Argoverse 2 Map Change Dataset is a collection of 1,000 scenarios with ring camera imagery, lidar, and HD maps.
2 papers · 0 benchmarks
We introduce an object detection dataset in challenging adverse weather conditions covering 12000 samples in real-world driving scenes and 1500 samples in controlled weather conditions within a fog chamber.
2 papers · 1 benchmark
MagicBathyNet is a benchmark dataset made up of image patches of Sentinel-2, SPOT-6 and aerial imagery, bathymetry in raster format and seabed classes annotations.
2 papers · 0 benchmarks
RISEdb (Robust Indoor Localization in Complex Scenarios (RISE) database)
The RISE (Robust Indoor Localization in Complex Scenarios) dataset is meant to train and evaluate visual indoor place recognizers.
2 papers · 0 benchmarks
SuperCaustics is a simulation tool made in Unreal Engine for generating massive computer vision datasets that include transparent objects.
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
Underwater Trash Detection Dataset Overview The Underwater Trash Detection Dataset is a custom-annotated dataset designed to address the challenges of underwater trash detection caused by varying environmental features.
2 papers · 0 benchmarks
UofTPed50 is an object detection and tracking dataset which uses GPS to ground truth the position and velocity of a pedestrian.
2 papers · 0 benchmarks
WeatherKITTI is currently the most realistic all-weather simulated enhancement of the KITTI dataset.
2 papers · 0 benchmarks
The Inpainting dataset consists of synchronized Labeled image and LiDAR scanned point clouds.
1 paper · 1 benchmark
CODD (Cooperative Driving Dataset)
The Cooperative Driving dataset is a synthetic dataset generated using CARLA that contains lidar data from multiple vehicles navigating simultaneously through a diverse set of driving scenarios.
1 paper · 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
DARai (Daily Activity Recordings for AI and ML applications)
Daily Activity Recordings for Artificial Intelligence (DARai, pronounced "Dahr-ree") is a multimodal, hierarchically annotated dataset constructed to understand human activities in real-world settings.
1 paper · 0 benchmarks
Real and simulated lidar data of indoor and outdoor scenes, before and after geometric scene changes have occurred.
1 paper · 0 benchmarks
EviLOG (Evidential Lidar Occupancy Grid Mapping)
The dataset contains synthetic training, validation and test data for occupancy grid mapping from lidar point clouds.
1 paper · 0 benchmarks
The data set contains point cloud data captured in an indoor environment with precise localization and ground truth mapping information.
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
IRV2V (IRregular V2V Dataset)
To facilitate research on asynchrony for collaborative perception, we simulate the first collaborative perception dataset with different temporal asynchronies based on CARLA, named IRregular V2V(IRV2V).
1 paper · 1 benchmark
L-CAS 3D Point Cloud People Dataset contains 28,002 Velodyne scan frames acquired in one of the main buildings (Minerva Building) of the University of Lincoln, UK.
1 paper · 0 benchmarks
LiDAR-CS is a dataset for 3D object detection in real traffic.
1 paper · 0 benchmarks
LiPC (LiDAR Point Cloud Clustering Benchmark Suite)
LiPC (LiDAR Point Cloud Clustering Benchmark Suite) is a benchmark suite for point cloud clustering algorithms based on open-source software and open datasets.
1 paper · 0 benchmarks
MVX incorporates realistic physical world simulation with a differentiable accurate ray tracing wireless simulation that includes multi-agent and multimodal datasets for AI-driven digital twin applications in vehicular communication…
1 paper · 1 benchmark
Matador (Matador: A Material Image Dataset)
The Matador dataset is a material image dataset with hierarchical labels.
1 paper · 0 benchmarks
MuSoHu (Toward human-like social robot navigation: A large-scale, multi-modal, social human navigation dataset)
A large-scale, egocentric, multimodal, and context-aware dataset of human demonstrations of social navigation.
1 paper · 0 benchmarks
Near-Collision is a large-scale dataset of 13,658 egocentric video snippets of humans navigating in indoor hallways.
1 paper · 0 benchmarks
The dataset includes polarimetric, RGB and depth automotive (on the road) data.
1 paper · 0 benchmarks
PolyU-BPCoMa: A Dataset and Benchmark Towards Mobile Colorized Mapping Using a Backpack Multisensorial System
1 paper · 0 benchmarks
This dataset includes 3D point-cloud and 2D imagery from a flash LiDAR...
1 paper · 1 benchmark
Robot@Home2 (Robot@Home2, a robotic dataset of home environments)
Robot@Home2, is an enhanced version aimed at improving usability and functionality for developing and testing mobile robotics and computer vision algorithms.
1 paper · 0 benchmarks
The SimBEV dataset is a collection of 320 scenes spread across all 11 CARLA maps and contains data from a variety of sensors, including five camera types (RGB, semantic segmentation, instance segmentation, depth, and optical flow), lidar,…
1 paper · 3 benchmarks
THÖR is a dataset with human motion trajectory and eye gaze data collected in an indoor environment with accurate ground truth for position, head orientation, gaze direction, social grouping, obstacles map and goal coordinates.
1 paper · 0 benchmarks
ULS labeled data (UVA laser scanning labelled las data over tropical moist forest classified as leaf or wood points)
UAV Laser Scanning data collected over neotropical forest (Paracou French Guiana).
1 paper · 1 benchmark
V2AIX (A Multi-Modal Real-World Dataset of ETSI ITS V2X Messages in Public Road Traffic)
Connectivity is a main driver for the ongoing megatrend of automated mobility: future Cooperative Intelligent Transport Systems (C-ITS) will connect road vehicles, traffic signals, roadside infrastructure, and even vulnerable road users,…
1 paper · 0 benchmarks
iV2V and iV2I+ (AI4Mobile Industrial Wireless Datasets: iV2V and iV2I+)
This dataset provides wireless measurements from two industrial testbeds: iV2V (industrial Vehicle-to-Vehicle) and iV2I+ (industrial Vehicular-to-Infrastructure plus sensor).
1 paper · 0 benchmarks
A cross-city UDA benchmark built upon nuScenes.
1 paper · 0 benchmarks
InLUT3D (Indoor Lodz University of Technology Point Cloud Dataset)
This dataset called Indoor Lodz University of Technology Point Cloud Dataset (InLUT3D) is a point cloud set tailored for real object classification and both semantic and instance segmentation tasks.
0 papers · 0 benchmarks
We introduce the KAIST multi-spectral dataset, which covers a greater range of drivable regions, from urban to residential, for autonomous systems.
0 papers · 0 benchmarks
LiSu (LiSu: A Dataset and Method for LiDAR Surface Normal Estimation)
We present LiSu, a novel synthetic LiDAR dataset targeted for research on surface normal estimation.
0 papers · 0 benchmarks
MapAI: Precision in Building Segmentation Dataset The dataset comprises 7500 training images and 1500 validation images from Denmark.
0 papers · 0 benchmarks
Abstract: We introduce the multi-spectral stereo (MS2) outdoor dataset, including stereo RGB, stereo NIR, stereo thermal, stereo LiDAR data, and GPS/IMU information.
0 papers · 0 benchmarks
we propose the augmented KITTI dataset with fog for both camera and LiDAR sensors with different visibility ranges from 20 to 80 meters to best match realistic fog environment.
0 papers · 0 benchmarks
One of the most important aspects of robot scene understanding is semantic segmentation of external environments.
0 papers · 0 benchmarks
Sparse LiDAR extracted from velodyne 64 beams in KITTI dataset.
0 papers · 0 benchmarks
USYD CAMPUS is a driving dataset collected by Zhou et al at the University of Sydney (USyd) campus and surroundings.
0 papers · 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.