Home › Datasets › modality › LiDAR
LiDAR datasets
archive 2025-07-28
94 datasets carry the modality tag "LiDAR", ordered by the archive's paper count. Page 1 of 2: 48 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 1–48 of 94
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile robotics and autonomous driving.
3,661 papers · 137 benchmarks
The nuScenes dataset is a large-scale autonomous driving dataset.
2,139 papers · 21 benchmarks
SemanticKITTI is a large-scale outdoor-scene dataset for point cloud semantic segmentation.
669 papers · 10 benchmarks
The Waymo Open Dataset is comprised of high resolution sensor data collected by autonomous vehicles operated by the Waymo Driver in a wide variety of conditions.
481 papers · 16 benchmarks
Argoverse is a tracking benchmark with over 30K scenarios collected in Pittsburgh and Miami.
386 papers · 6 benchmarks
KITTI-360 is a large-scale dataset that contains rich sensory information and full annotations.
246 papers · 7 benchmarks
Argoverse 2 (AV2) is a collection of three datasets for perception and forecasting research in the self-driving domain.
185 papers · 3 benchmarks
ONCE (One Million Scenes)
ONCE (One millioN sCenEs) is a dataset for 3D object detection in the autonomous driving scenario.
87 papers · 1 benchmark
The SemanticPOSS dataset for 3D semantic segmentation contains 2988 various and complicated LiDAR scans with large quantity of dynamic instances.
71 papers · 1 benchmark
The Newer College Dataset is a large dataset with a variety of mobile mapping sensors collected using a handheld device carried at typical walking speeds for nearly 2.2 km through New College, Oxford.
65 papers · 0 benchmarks
A large-scale V2X perception dataset using CARLA and OpenCDA
36 papers · 1 benchmark
V2V4Real is a large-scale real-world multi-modal dataset for V2V perception.
35 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.
34 papers · 2 benchmarks
MVSEC (Multi Vehicle Stereo Event Camera)
The Multi Vehicle Stereo Event Camera (MVSEC) dataset is a collection of data designed for the development of novel 3D perception algorithms for event based cameras.
28 papers · 2 benchmarks
DALES (DALES: A Large-scale Aerial LiDAR Data Set for Semantic Segmentation)
We present the Dayton Annotated LiDAR Earth Scan (DALES) data set, a new large-scale aerial LiDAR data set with over a half-billion hand-labeled points spanning 10 square kilometers of area and eight object categories.
26 papers · 2 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.
20 papers · 2 benchmarks
SynLiDAR is a large-scale synthetic LiDAR sequential point cloud dataset with point-wise annotations.
20 papers · 1 benchmark
DELIVER is an arbitrary-modal segmentation benchmark, covering Depth, LiDAR, multiple Views, Events, and RGB.
19 papers · 3 benchmarks
SCAND (Socially CompliAnt Navigation Dataset)
Have you wondered how autonomous mobile robots should share space with humans in public spaces?
18 papers · 0 benchmarks
Many existing datasets for lidar place recognition are solely representative of structured urban environments, and have recently been saturated in performance by deep learning based approaches.
18 papers · 1 benchmark
ViViD++ (Vision for Visibility Dataset)
A dataset capturing diverse visual data formats that target varying luminance conditions, and was recorded from alternative vision sensors, by handheld or mounted on a car, repeatedly in the same space but in different conditions.
17 papers · 0 benchmarks
A novel benchmark dataset that includes a manually annotated point cloud for over 260 million laser scanning points into 100'000 (approx.) assets from Dublin LiDAR point cloud [12] in 2015.
15 papers · 0 benchmarks
SemanticSTF is an adverse-weather point cloud dataset that provides dense point-level annotations and allows to study 3DSS under various adverse weather conditions.
12 papers · 1 benchmark
WildScenes is a bi-modal benchmark dataset consisting of multiple large-scale, sequential traversals in natural environments, including semantic annotations in high-resolution 2D images and dense 3D LiDAR point clouds, and accurate 6-DoF…
12 papers · 2 benchmarks
SLOPER4D is a novel scene-aware dataset collected in large urban environments to facilitate the research of global human pose estimation (GHPE) with human-scene interaction in the wild.
11 papers · 1 benchmark
Robust detection and tracking of objects is crucial for the deployment of autonomous vehicle technology.
11 papers · 2 benchmarks
The Zenseact Open Dataset (ZOD) is a large-scale and diverse multi-modal autonomous driving (AD) dataset, created by researchers at Zenseact.
9 papers · 0 benchmarks
WADS (Winter Adverse Driving dataSet)
Collected in the snow belt region of Michigan's Upper Peninsula, WADS is the first multi-modal dataset featuring dense point-wise labeled sequential LiDAR scans collected in severe winter weather.
8 papers · 0 benchmarks
BAAI-VANJEE is a dataset for benchmarking and training various computer vision tasks such as 2D/3D object detection and multi-sensor fusion.
6 papers · 0 benchmarks
LiDAR-MOS (LiDAR-based Moving Object Segmentation)
Tasks.
6 papers · 0 benchmarks
DurLAR (A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery)
DurLAR is a high-fidelity 128-channel 3D LiDAR dataset with panoramic ambient (near infrared) and reflectivity imagery for multi-modal autonomous driving applications.
5 papers · 0 benchmarks
S.MID (SeMantic InDustry)
SeMantic InDustry (S.MID) is a dataset designed to advance the field of LiDAR semantic segmentation, specifically for robotic applications and large-scale industrial scene.
5 papers · 1 benchmark
SYNS-Patches dataset, which is a subset of SYNS.
5 papers · 0 benchmarks
aiMotive dataset is a multimodal dataset for robust autonomous driving with long-range perception.
5 papers · 1 benchmark
The Argoverse 2 Lidar Dataset is a collection of 20,000 scenarios with lidar sensor data, HD maps, and ego-vehicle pose.
4 papers · 0 benchmarks
The FieldSAFE dataset is a multi-modal dataset for obstacle detection in agriculture.
4 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.
4 papers · 1 benchmark
Human-M3 is an outdoor multi-modal multi-view multi-person human pose database which includes not only multi-view RGB videos of outdoor scenes but also corresponding pointclouds.
4 papers · 0 benchmarks
MUSES offers 2500 multi-modal scenes, evenly distributed across various combinations of weather conditions (clear, fog, rain, and snow) and types of illumination (daytime, nighttime).
4 papers · 5 benchmarks
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
The Situated Corpus Of Understanding Transactions (SCOUT) is a multi-modal collection of human-robot dialogue in the task domain of collaborative exploration.
4 papers · 0 benchmarks
This dataset contains a variety of common urban road objects scanned with a Velodyne HDL-64E LIDAR, collected in the CBD of Sydney, Australia.
4 papers · 1 benchmark
AnoVox is a large-scale benchmark for ANOmaly detection in autonomous driving.
3 papers · 0 benchmarks
Ford Campus Vision and Lidar Data Set is a dataset collected by an autonomous ground vehicle testbed, based upon a modified Ford F-250 pickup truck.
3 papers · 0 benchmarks
HelixNet (HelixNet: A Dataset for Online LiDAR Segmentation)
Large-scale and open-access LiDAR dataset intended for the evaluation of real-time semantic segmentation algorithms.
3 papers · 1 benchmark
Evaluate radar localization in diverse environments Download: https://drive.google.com/drive/folders/1uATfrAe-KHlz29e-Ul8qUbUKwPxBFIhP Download
3 papers · 0 benchmarks
The TbV dataset is large-scale dataset created to allow the community to improve the state of the art in machine learning tasks related to mapping, that are vital for self-driving.
3 papers · 0 benchmarks
VBR (VBR: A Vision Benchmark in Rome)
This dataset presents a vision and perception research dataset collected in Rome, featuring RGB data, 3D point clouds, IMU, and GPS data.
3 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.