Feature-based visual simultaneous localization and map**: A survey
Visual simultaneous localization and map** (SLAM) has attracted high attention over the
past few years. In this paper, a comprehensive survey of the state-of-the-art feature-based …
past few years. In this paper, a comprehensive survey of the state-of-the-art feature-based …
HVIOnet: A deep learning based hybrid visual–inertial odometry approach for unmanned aerial system position estimation
Sensor fusion is used to solve the localization problem in autonomous mobile robotics
applications by integrating complementary data acquired from various sensors. In this study …
applications by integrating complementary data acquired from various sensors. In this study …
A tutorial: Mobile robotics, SLAM, bayesian filter, keyframe bundle adjustment and ROS applications
Autonomous mobile robots, an important research topic today, are often developed for smart
industrial environments where they interact with humans. For autonomous movement of a …
industrial environments where they interact with humans. For autonomous movement of a …
Bidirectional interaction between BIM and construction processes using a multisource geospatial data enabled point cloud model
S Jia, C Liu, X Guan, H Wu, D Zeng, J Guo - Automation in construction, 2022 - Elsevier
Abstract Building Information Modeling (BIM) has increasingly been adopted as an as-
planned construction state to provide essential support for fine construction. However, some …
planned construction state to provide essential support for fine construction. However, some …
HybVIO: Pushing the limits of real-time visual-inertial odometry
We present HybVIO, a novel hybrid approach for combining filtering-based visual-inertial
odometry (VIO) with optimization-based SLAM. The core of our method is highly robust …
odometry (VIO) with optimization-based SLAM. The core of our method is highly robust …
Monocular visual simultaneous localization and map**:(r) evolution from geometry to deep learning-based pipelines
With the rise of deep learning, there is a fundamental change in visual simultaneous
localization and map** (SLAM) algorithms toward develo** different modules trained as …
localization and map** (SLAM) algorithms toward develo** different modules trained as …
A cross-correction LiDAR SLAM method for high-accuracy 2D map** of problematic scenario
S Jia, C Liu, H Wu, D Zeng, M Ai - ISPRS Journal of Photogrammetry and …, 2021 - Elsevier
Highly accurate 2D maps can supply basic geospatial information for efficient and accurate
indoor building modeling. However, problematic scenarios, which are characterized by few …
indoor building modeling. However, problematic scenarios, which are characterized by few …
Real-time artificial intelligence based visual simultaneous localization and map** in dynamic environments–a review
This paper aims to review current approaches for real-time artificial intelligence-based visual
Simultaneous Localization and Map** (vSLAM) operating in dynamic environments …
Simultaneous Localization and Map** (vSLAM) operating in dynamic environments …
An adaptive fractional‐order extended Kalman filtering for state of charge estimation of high‐capacity lithium‐ion battery
P Yu, S Wang, C Yu, C Jiang… - International Journal of …, 2022 - Wiley Online Library
The state of charge (SOC) estimation of lithium‐ion battery is a crucial portion of the battery
management system (BMS). The high‐precision estimation is the foundation of BMS safety …
management system (BMS). The high‐precision estimation is the foundation of BMS safety …
A review on applications of simultaneous localization and map** method in autonomous vehicles
The recent trends on Simultaneous Localization and Navigation (SLAM) technique have
been applied on autonomous vehicle are being explained in this paper. With the growing …
been applied on autonomous vehicle are being explained in this paper. With the growing …