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4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in AD
A cross-season dataset for multi-weather SLAM in autonomous driving, covering seasonal and challenging perceptual conditions. -
TUM4Seasons
The TUM4Seasons dataset is a dataset of stereo-inertial sensor data and contains significant appearance changes. -
AttDLNet: Attention-based Deep Network for 3D LiDAR Place Recognition
LiDAR-based place recognition is one of the key components of SLAM and global localization in autonomous vehicles and robotics applications. -
Vision meets robotics: The KITTI dataset
This paper presents a benchmark for visual odometry and SLAM. -
The EuRoC micro aerial vehicle datasets
The EuRoC micro aerial vehicle datasets are a collection of datasets for visual-inertial odometry and SLAM. -
3D Grid dataset
The paper discusses the 3D Grid dataset for SLAM. -
MIT, Intel, CSAIL, and Sphere 2500 datasets
The paper discusses the MIT, Intel, CSAIL, and Sphere 2500 datasets for SLAM. -
EuRoC dataset
The paper discusses the EuRoC dataset for SLAM. -
Are We Ready for Autonomous Driving? The KITTI Vision Benchmark Suite
The KITTI Visual Odometry benchmark dataset consists of 22 stereo sequences with ground truth trajectories. -
A Benchmark for the Evaluation of RGB-D SLAM Systems
This dataset is a benchmark for the evaluation of RGB-D SLAM systems. -
KITTI Odometry Benchmark
The KITTI odometry dataset is a collection of 22 sequences, containing point clouds, images, and GPS recordings of inner-city traffic, residential areas, highway scenes, and... -
TUM dynamic objects dataset
The dataset used for testing the proposed Semantic Flow-guided motion removal method for robust mapping. -
KITTI odometry dataset
The KITTI odometry dataset is a benchmark for evaluating visual odometry and other computer vision tasks. It contains a large collection of images and corresponding ground-truth... -
NTU4DRadLM
A 4D radar-centric multi-modal dataset for localization and mapping, covering structured, unstructured, and semi-structured environments, with low- and fast-speeds. -
LiDAR and Floor Plan Dataset
The dataset used in this paper is a collection of LiDAR images and floor plans, used to evaluate the performance of the proposed SLAM algorithm. -
Habitat-Matterport 3D Dataset (HM3D)
The HM3D dataset is a large-scale 3D environment dataset, consisting of 1000 large-scale 3D environments for embodied AI. The dataset is used to evaluate the performance of SLAM... -
KinectFusion
The KinectFusion dataset is a real-time dense surface mapping and tracking system.
