SLAM is mainly divided into two parts: the front end and the back end. The front end is the visual odometer (VO), which roughly estimates the motion of the camera based on the information of adjacent images and provides a good initial value for the back
Miera, P., Szolc, H., Kryjak, T.: Lidar-based drone navigation with reinforcement learning. INDIGO (University of Illinois at Chicago) (2023). https://doi.org/10.36227/techrxiv.23784246.v1 Mnih, V., Kavukcuoglu, K., Silver, D., Graves, A., Antonoglou, I., Wierstra, D., ...
Autonomous mobile robots are increasingly being used in modern society. With the development of mobile robot technology, robots are becoming usable in a wi
However, these papers cope with the SLAM problem only for navigation, with no discussion on the issues posed by the complex operational context and no explanation on how the obtained map can be useful for agricultural purposes. The problem of autonomous navigation for mobile robots in agriculture ...
Using the FlyAware SLAM algorithm, the drone processed real-time LiDAR data, creating 3D visualisations of restricted areas. The collected data was later refined with FARO software for higher-resolution post-processed models, enhancing the team's ability to understand the facility’s layout. ...
The MLS' advantages of efficiency and stability make it a quite practical tool for three-dimensional urban modeling. This paper reviews the latest advances in 3D modeling of the LiDAR-based mobile mapping system (MMS) point cloud, including LiDAR Simultaneous Localization and Mapping (SLAM), point...
Estimate the margin of error of this blood pressure monitor based on known measurements Describe how well did the vacuum cleaner perform cleaning up cat litter How good is this sewing machine for embroidering? What are the most common accessories used by divers with this action camera?
This example demonstrates how to implement the Simultaneous Localization And Mapping (SLAM) algorithm on lidar scans obtained from simulated environment using pose graph optimization. The goal of this example is to build a map of the environment using the lidar scans and retrieve the trajectory of ...
Cheng J, Zhang L, Chen Q, Hu X, Cai J (2022) A review of visual SLAM methods for autonomous driving vehicles. Eng Appl Artif Intell 114:104992–105008 MATH Google Scholar Jing H, Gao Y, Shahbeigi S, Dianati M (2022) Integrity monitoring of GNSS/INS based positioning systems for au...
reviewers, who decided whether to include or exclude a paper based on two criteria: (1) some aspect of trees/forest, relevant to forestry applications, was assessed, and all papers that solely studied crops, infrastructure or buildings were eliminated, and (2) the fusion must include LiDAR ...