LiDAR odometry survey: recent advancements and remaining challenges
Odometry is crucial for robot navigation, particularly in situations where global positioning
methods like global positioning system are unavailable. The main goal of odometry is to …
methods like global positioning system are unavailable. The main goal of odometry is to …
Fast-livo2: Fast, direct lidar-inertial-visual odometry
This paper presents FAST-LIVO2, a fast and direct LiDAR-inertial-visual odometry
framework designed for accurate and robust state estimation in SLAM tasks, enabling real …
framework designed for accurate and robust state estimation in SLAM tasks, enabling real …
Mcd: Diverse large-scale multi-campus dataset for robot perception
Perception plays a crucial role in various robot applications. However existing well-
annotated datasets are biased towards autonomous driving scenarios while unlabelled …
annotated datasets are biased towards autonomous driving scenarios while unlabelled …
Review of simultaneous localization and map** (SLAM) for construction robotics applications
A Yarovoi, YK Cho - Automation in Construction, 2024 - Elsevier
With the increasing affordability of robot technologies and the reduction in size and weight of
autonomous systems, the deployment of autonomous robotic systems on construction sites …
autonomous systems, the deployment of autonomous robotic systems on construction sites …
Wild-places: A large-scale dataset for lidar place recognition in unstructured natural environments
Many existing datasets for lidar place recognition are solely representative of structured
urban environments, and have recently been saturated in performance by deep learning …
urban environments, and have recently been saturated in performance by deep learning …
Fusionportablev2: A unified multi-sensor dataset for generalized slam across diverse platforms and scalable environments
Quatro++: Robust global registration exploiting ground segmentation for loop closing in LiDAR SLAM
This paper presents a pioneering solution to the task of integrating mobile 3D LiDAR and
inertial measurement unit (IMU) data with existing building information models or point …
inertial measurement unit (IMU) data with existing building information models or point …
MAVIS: Multi-Camera Augmented Visual-Inertial SLAM using SE2(3) Based Exact IMU Pre-integration
We present a novel optimization-based Visual-Inertial SLAM system designed for multiple
partially over-lapped camera systems, named MAVIS. Our framework fully exploits the …
partially over-lapped camera systems, named MAVIS. Our framework fully exploits the …