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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. -
KITTI, TUM RGB-D, and EuRoC
SLAM datasets including KITTI, TUM RGB-D, and EuRoC -
Hilti-Oxford
The Hilti-Oxford dataset is a millimeter-accurate benchmark for simultaneous localization and mapping. -
TUM4Seasons
The TUM4Seasons dataset is a dataset of stereo-inertial sensor data and contains significant appearance changes. -
Synthetic Mapping Scenario
The dataset used in this paper is a synthetic mapping scenario where a sensor travels over a track and collects measurements. -
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. -
ORBSLAM-Atlas: a robust and accurate multi-map system
ORBSLAM-Atlas is a robust and accurate multi-map system that handles an unlimited number of disconnected sub-maps, including a robust map merging algorithm that detects sub-maps... -
The Hilti SLAM Challenge Dataset
The Hilti SLAM Challenge Dataset contains indoor sequences of offices, labs, and construction environments and outdoor sequences of construction sites and parking areas. -
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. -
TUM RGB-D dataset and Replica dataset
The dataset used in the paper is the TUM RGB-D dataset and the Replica dataset. -
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. -
EuRoC MAV Dataset
A dataset for visual odometry, containing 11 sequences with provided ground-truth poses. -
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...
